Thomas M. Jahn

22 papers receiving 731 citations

Hit Papers

Idelalisib, an inhibitor of phosphatidylinositol 3-kinase p110δ, for relapsed/refractory chronic lymphocytic leukemia 2014 · 465 citations
4650+4+8Years since publication100200300400

Peers

Thomas M. Jahn
Comparison fields: 5 of 46
  • Genetics 636
  • Pathology and Forensic Medicine 437
  • Hematology 204
  • Immunology 219
  • Oncology 96
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Kerstin Allen United States
Jennifer Orchard United Kingdom
Shih‐Shih Chen United States
Arnau Montraveta Spain
Yoonjin Cho United States
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Christine I. Chen Canada
Gillian Turner United Kingdom
Stefan Norin Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Thomas M. Jahn

Since Specialization
Citations

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

Fields of papers citing papers by Thomas M. Jahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Jahn. 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 Thomas M. Jahn. The network helps show where Thomas M. Jahn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Idelalisib, an inhibitor of phosphatidylinositol 3-kinase p110δ, for relapsed/refractory chronic lymphocytic leukemia
Hit paper breakdown →
2014465
2 201337
3 201331
4 201230
5 201128
6 201221
7 201317
8 201317
9 201413
10 201213
11 201410
12 20158
13 20148
14 20148
15 20118
16 20027
17 20227
18 20144
19 20144
20 20243

About Thomas M. Jahn

Thomas M. Jahn is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Public Health, Environmental and Occupational Health and Hematology, having authored 22 papers that have together received 743 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (19 papers), Lymphoma Diagnosis and Treatment (13 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Acute Lymphoblastic Leukemia research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Advanced Breast Cancer Therapies (3 papers), CAR-T cell therapy research (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Genetics (636 citations), Pathology and Forensic Medicine (437 citations), Hematology (204 citations), Immunology (219 citations) and Oncology (96 citations). Thomas M. Jahn has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Steven Coutré, Ian W. Flinn, Richard R. Furman, Nina D. Wagner‐Johnston, Brian J. Lannutti, Langdon L. Miller, Daniel Li, Jennifer R. Brown, Sissy Peterman and Don M. Benson. Their work appears in journals such as Journal of Clinical Oncology, Blood, Annals of Oncology, Cancer Research and PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie.

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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