Uma Yasothan

1.8k citations
30 papers · 1.4k indexed · h-index 22

Impact in

  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Immunology top 10%
    • Immunotherapy and Immune Responses

Papers in

Uma Yasothan

30 papers receiving 1.4k citations

Peers

Uma Yasothan
Comparison fields: 5 of 110
  • Oncology 433
  • Immunology 287
  • Hematology 106
  • Molecular Biology 608
  • Genetics 90
Replace Gabriele Weitz‐Schmidt with:
Gabriele Weitz‐Schmidt Switzerland
Malin Wickström Sweden
Junxian Lim Australia
Fernando Doñate United States
P. Delmotte Belgium
Maria Palmisano United States
Brent D. G. Page Canada
Tingting Zhao China
Wolfram C. M. Dempke Germany
Aru Narendran Canada
Uma Yasothan relative to Gabriele Weitz‐Schmidt Switzerland Gabriele Weitz‐Schmidt's profile →
Citations per field
00.5×3.1×
Gabriele Weitz‐Schmidt · 1×
Citations per year

Countries citing papers authored by Uma Yasothan

Since Specialization
Citations

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

Fields of papers citing papers by Uma Yasothan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2012128
2 201122
3 2011116
4 201151
5 201021
6 201044
7 200927
8 200915
9 200918
10 200943
11 200916
12 200844
13 200873
14 200843
15 20089
16 200828
17 20085
18 200840
19 200843
20 200815

About Uma Yasothan

Uma Yasothan is a scholar working on Internal Medicine, Hematology, Rheumatology, Oncology and Developmental Neuroscience, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (4 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Autoimmune Bullous Skin Diseases (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Bone health and treatments (2 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). The work is most often cited by research in Oncology (433 citations), Immunology (287 citations), Hematology (106 citations), Molecular Biology (608 citations) and Genetics (90 citations). Uma Yasothan has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Peter Kirkpatrick, Peter J. Kirkpatrick, Ruben A. Mesa, Anas Younes, Keith T. Flaherty, Alice T. Shaw, Santwana Kar, Geoffrey L. Uy, John F. DiPersio and Emilio Perucca. Their work appears in journals such as Nature Reviews Drug Discovery.

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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