German Ott

511 papers receiving 57.1k citations

German Ott's Hit Papers

The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Myeloid and Histiocytic/Dendritic Neoplasms 2022 · 2.6k citations
2.6k0+4+8Years since publication50010001.5k2.0k2.5k

Peers

German Ott
Comparison fields: 5 of 181
  • Pathology and Forensic Medicine 32.2k
  • Genetics 15.3k
  • Oncology 21.1k
  • Cancer Research 9.2k
  • Immunology 8.4k
Replace Andreas Rosenwald with:
Andreas Rosenwald Germany
Armando López‐Guillermo Spain
Joseph M. Connors Canada
Wyndham Hopkins Wilson United States
Randy D. Gascoyne Canada
L. Jeffrey Medeiros United States
Richard I. Fisher United States
Wing Chung Chan United States
Riccardo Dalla‐Favera United States
Brunangelo Falini Italy
German Ott relative to Andreas Rosenwald Germany Andreas Rosenwald's profile →
Citations per field
00.5×1.5×
Andreas Rosenwald · 1×
Citations per year

Countries citing papers authored by German Ott

Since Specialization
Citations

This map shows the geographic impact of German Ott's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by German Ott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites German Ott more than expected).

Fields of papers citing papers by German Ott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by German Ott. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by German Ott. The network helps show where German Ott may publish in the future.

Co-authors

The 25 scholars most cited alongside German Ott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with German Ott Line = papers co-authored together German Ott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 519 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Use of Molecular Profiling to Predict Survival after Chemotherapy for Diffuse Large-B-Cell Lymphoma
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20023164
2
The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Myeloid and Histiocytic/Dendritic Neoplasms
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20222560
3
The repertoire of mutational signatures in human cancer
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20202339
4
The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Lymphoid Neoplasms
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20222312
5
Pan-cancer analysis of whole genomes
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20202109
6
Genetics and Pathogenesis of Diffuse Large B-Cell Lymphoma
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20181669
7
Stromal Gene Signatures in Large-B-Cell Lymphomas
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20081464
8
Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes
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20181441
9
Chronic active B-cell-receptor signalling in diffuse large B-cell lymphoma
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20101365
10
Oncogenically active MYD88 mutations in human lymphoma
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20101238
11
Prediction of Survival in Follicular Lymphoma Based on Molecular Features of Tumor-Infiltrating Immune Cells
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20041136
12
Molecular Diagnosis of Primary Mediastinal B Cell Lymphoma Identifies a Clinically Favorable Subgroup of Diffuse Large B Cell Lymphoma Related to Hodgkin Lymphoma
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2003882
13
Concurrent Expression of MYC and BCL2 in Diffuse Large B-Cell Lymphoma Treated With Rituximab Plus Cyclophosphamide, Doxorubicin, Vincristine, and Prednisone
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2012806
14
Molecular subtypes of diffuse large B-cell lymphoma arise by distinct genetic pathways
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2008802
15
A Biologic Definition of Burkitt's Lymphoma from Transcriptional and Genomic Profiling
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2006791
16
The proliferation gene expression signature is a quantitative integrator of oncogenic events that predicts survival in mantle cell lymphoma
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2003736
17
Oncogenic CARD11 Mutations in Human Diffuse Large B Cell Lymphoma
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2008726
18
Burkitt lymphoma pathogenesis and therapeutic targets from structural and functional genomics
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2012707
19
The evolutionary history of 2,658 cancers
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2020705
20
Molecular Diagnosis of Burkitt's Lymphoma
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2006690

About German Ott

German Ott is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Cancer Research and Immunology, having authored 519 papers that have together received 58.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (365 papers), Chronic Lymphocytic Leukemia Research (123 papers), Viral-associated cancers and disorders (121 papers), Cancer Genomics and Diagnostics (40 papers), CAR-T cell therapy research (36 papers), Immune Cell Function and Interaction (33 papers), Genetic factors in colorectal cancer (33 papers) and CNS Lymphoma Diagnosis and Treatment (32 papers). The work is most often cited by research in Pathology and Forensic Medicine (32.2k citations), Genetics (15.3k citations), Oncology (21.1k citations), Cancer Research (9.2k citations) and Immunology (8.4k citations). German Ott has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Andreas Rosenwald, Hans Konrad Müller‐Hermelink, Elı́as Campo, Tiemo Katzenberger, Jörg Kalla, Michaela Ott, Randy D. Gascoyne, Maria Michaela Ott, Elena Gerhard-Hartmann and Thomas Rüdiger. Their work appears in journals such as Blood, Leukemia, Nature Communications, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and Haematologica.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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