Paul Jäger

560 citations
25 papers · 330 · h-index 10

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%
    • Mesenchymal stem cell research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 14
    • Hematopoietic Stem Cell Transplantation 9
    • Renal and related cancers 2

Paul Jäger

20 papers receiving 328 citations

Peers

Paul Jäger
Comparison fields: 5 of 49
  • Hematology 219
  • Genetics 75
  • Immunology 62
  • Cancer Research 25
  • Oncology 45
Replace Karolína Perglerová with:
Karolína Perglerová Germany
Giulia Falconi Italy
Zinia J. Kwidama Netherlands
Maria Chiara Fontana Italy
Ian F. Thomas United Kingdom
Mariacarla De Simone Italy
Jasleen K. Randhawa United States
F. del Valle Germany
Alireza Eghtedar United States
Jamie Koprivnikar United States
Paul Jäger relative to Karolína Perglerová Germany Karolína Perglerová's profile →
Citations per field
00.5×
Karolína Perglerová · 1×
Citations per year

Countries citing papers authored by Paul Jäger

Since Specialization
Citations

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

Fields of papers citing papers by Paul Jäger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015115
2 201847
3 202127
4 201923
5 202018
6 202118
7 202313
8 202110
9 201910
10 20239
11 20247
12 20247
13 20246
14 20206
15 20214
16 20243
17 20213
18 20232
19 20241
20 20251

About Paul Jäger

Paul Jäger is a scholar working on Hematology, Molecular Biology, Oncology, Public Health, Environmental and Occupational Health and Genetics, having authored 25 papers that have together received 330 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Hematopoietic Stem Cell Transplantation (9 papers), Acute Lymphoblastic Leukemia research (5 papers), Cancer Genomics and Diagnostics (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Renal and related cancers (2 papers), Immune Cell Function and Interaction (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (219 citations), Genetics (75 citations), Immunology (62 citations), Cancer Research (25 citations) and Oncology (45 citations). Paul Jäger has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Rainer Haas, Guido Kobbe, Thomas Schroeder, Stefanie Geyh, Ulrich Germing, Christoph Zilkens, Julian Gutekunst, Frank Lyko, Manuel Rodríguez‐Paredes and Ulrich Germing. Their work appears in journals such as Cancers, Scientific Reports, Blood, Haematologica and Blood Advances.

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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