Swamy Yeleswaram
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 15
- Chronic Lymphocytic Leukemia Research 6
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments 15
- Dermatology top 2%
- Dermatology and Skin Diseases 7
- Rheumatology top 5%
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism 6
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- Drug Transport and Resistance Mechanisms 6
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- Fibroblast Growth Factor Research 5
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- Psoriasis: Treatment and Pathogenesis 5
- Co-authors
- William V. WilliamsNaresh PunwaniJack ShiPeggy ScherleXuejun ChenThomas EmmYvonne LoSharon Diamond
- Cited by
- GeneticsHematologyDermatology
- Journals
- The Journal of Clinical Pharmacology (11 papers)Drug Metabolism and Disposition (7 papers)Cancer Research (6 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Swamy Yeleswaram
61 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Genetics 433
- Hematology 394
- Dermatology 275
- Rheumatology 351
- Pharmacology 189
Countries citing papers authored by Swamy Yeleswaram
This map shows the geographic impact of Swamy Yeleswaram'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 Swamy Yeleswaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swamy Yeleswaram more than expected).
Fields of papers citing papers by Swamy Yeleswaram
This network shows the impact of papers produced by Swamy Yeleswaram. 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 Swamy Yeleswaram. The network helps show where Swamy Yeleswaram may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Swamy Yeleswaram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2022 | 8 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 13 | |
| 5 | 2021 | 52 | |
| 6 | 2020 | 15 | |
| 7 | 2020 | 70 | |
| 8 | 2019 | 0 | |
| 9 | 2017 | 12 | |
| 10 | 2016 | 34 | |
| 11 | 2015 | 33 | |
| 12 | 2014 | 164 | |
| 13 | 2014 | 85 | |
| 14 | 2013 | 27 | |
| 15 | 2012 | 148 | |
| 16 | 2011 | 123 | |
| 17 | 2011 | 88 | |
| 18 | 2011 | 86 | |
| 19 | 2010 | 12 | |
| 20 | 2010 | 106 |
About Swamy Yeleswaram
Swamy Yeleswaram is a scholar working on Hematology, Genetics, Biological Psychiatry, Pharmacology and Dermatology, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (15 papers), Chronic Myeloid Leukemia Treatments (15 papers), Dermatology and Skin Diseases (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Fibroblast Growth Factor Research (5 papers) and Psoriasis: Treatment and Pathogenesis (5 papers). The work is most often cited by research in Genetics (433 citations), Hematology (394 citations), Dermatology (275 citations), Rheumatology (351 citations) and Pharmacology (189 citations). Swamy Yeleswaram has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include William V. Williams, Naresh Punwani, Jack Shi, Peggy Scherle, Xuejun Chen, Thomas Emm, Yvonne Lo, Sharon Diamond, Ryan McGee and Jason Boer. Their work appears in journals such as The Journal of Clinical Pharmacology, Drug Metabolism and Disposition, Cancer Research, Blood and Bioorganic & Medicinal Chemistry Letters.
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.