Michaela Ott

60 papers receiving 2.0k citations

Peers

Michaela Ott
Comparison fields: 5 of 108
  • Pathology and Forensic Medicine 1.1k
  • Genetics 377
  • Oncology 900
  • Hepatology 124
  • Dermatology 140
Replace Martin L. Hansmann with:
Martin L. Hansmann Germany
Bettina Fabiani France
Blanca Espinet Spain
Umberto Magrini Italy
Jo‐Anne Vergilio United States
Timothy P. Singleton United States
Yoshikazu Kagami Japan
David S. Viswanatha United States
Rémy Gressin France
Amalia De Renzo Italy
Michaela Ott relative to Martin L. Hansmann Germany Martin L. Hansmann's profile →
Citations per field
00.5×1.7×
Martin L. Hansmann · 1×
Citations per year

Countries citing papers authored by Michaela Ott

Since Specialization
Citations

This map shows the geographic impact of Michaela 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 Michaela Ott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Ott more than expected).

Fields of papers citing papers by Michaela Ott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michaela 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 Michaela Ott. The network helps show where Michaela Ott may publish in the future.

Co-authors

The 25 scholars most cited alongside Michaela 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 Michaela Ott Line = papers co-authored together Michaela Ott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The t(11;18)(q21;q21) chromosome translocation is a frequent and specific aberration in low-grade but not high-grade malignant non-Hodgkin's lymphomas of the mucosa-associated lymphoid tissue (MALT-) type.
1997283
2 2002167
3 2008139
4 2007130
5 2008117
6 2011104
7 1999102
8 200496
9 200994
10 199974
11 201072
12 199669
13 199267
14 200767
15 200056
16 199848
17 200640
18
Die Anormalen : Vorlesungen am Collège de France (1974-1975)
200736
19
Timing of affect : epistemologies, aesthetics, politics
201432
20 200831

About Michaela Ott

Michaela Ott is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Epidemiology and Surgery, having authored 71 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (23 papers), Viral-associated cancers and disorders (12 papers), Chronic Lymphocytic Leukemia Research (10 papers), Pancreatic and Hepatic Oncology Research (5 papers), Sarcoma Diagnosis and Treatment (4 papers), Ecology, Conservation, and Geographical Studies (3 papers), Visual Culture and Art Theory (3 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.1k citations), Genetics (377 citations), Oncology (900 citations), Hepatology (124 citations) and Dermatology (140 citations). Michaela Ott has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include German Ott, A Ignee, Hans Konrad Müller‐Hermelink, Jörg Kalla, Tiemo Katzenberger, Christoph F. Dietrich, Andreas Rosenwald, Barbara Braden, G Schuessler and Michael Hocke. Their work appears in journals such as The Journal of Pathology, American Journal Of Pathology, The American Journal of Surgical Pathology, Journal of Cancer Research and Clinical Oncology and Scandinavian Journal of Gastroenterology.

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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