Vijay Modur
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- S100 Proteins and Annexins 3
-
- Lysosomal Storage Disorders Research 5
- Alzheimer's disease research and treatments 3
- Co-authors
- Omar Laterza (5 shared papers)Jack H. Ladenson (4 shared papers)Timothy P. Hughes (3 shared papers)Andreas Hochhaus (3 shared papers)Susan Branford (3 shared papers)Jaspal Kaeda (2 shared papers)Jin‐Moo Lee (2 shared papers)Jerald P. Radich (2 shared papers)
- Journals
- Clinical Chemistry (6 papers)Nephrology Dialysis Transplantation (2 papers)Blood (1 paper)Clinical Cancer Research (1 paper)Molecular Genetics and Metabolism (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Vijay Modur
24 papers receiving 820 citations
Peers
Comparison fields: 5 of 83
- Hematology 389
- Genetics 344
- Rheumatology 235
- Physiology 211
- Psychiatry and Mental health 107
Countries citing papers authored by Vijay Modur
This map shows the geographic impact of Vijay Modur'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 Vijay Modur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay Modur more than expected).
Fields of papers citing papers by Vijay Modur
This network shows the impact of papers produced by Vijay Modur. 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 Vijay Modur. The network helps show where Vijay Modur may publish in the future.
Co-authors
The 25 scholars most cited alongside Vijay Modur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 349 | |
| 2 | 2006 | 96 | |
| 3 | 2008 | 93 | |
| 4 | 2015 | 62 | |
| 5 | 2015 | 37 | |
| 6 | 2022 | 33 | |
| 7 | 2013 | 33 | |
| 8 | 2011 | 32 | |
| 9 | 2020 | 20 | |
| 10 | 2005 | 16 | |
| 11 | 2022 | 12 | |
| 12 | 2008 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2022 | 7 | |
| 15 | 2012 | 7 | |
| 16 | 2012 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 2 | |
| 20 | 2025 | 1 |
About Vijay Modur
Vijay Modur is a scholar working on Molecular Biology, Physiology, Pathology and Forensic Medicine, Oncology and Rheumatology, having authored 25 papers that have together received 842 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (5 papers), Genetic and Kidney Cyst Diseases (4 papers), Alzheimer's disease research and treatments (3 papers), Biomedical Research and Pathophysiology (3 papers), S100 Proteins and Annexins (3 papers), Renal Diseases and Glomerulopathies (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Hematology (389 citations), Genetics (344 citations), Rheumatology (235 citations), Physiology (211 citations) and Psychiatry and Mental health (107 citations). Vijay Modur has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Omar Laterza, Jack H. Ladenson, Timothy P. Hughes, Andreas Hochhaus, Susan Branford, Jaspal Kaeda, Jin‐Moo Lee, Jerald P. Radich, John M. Goldman and Jitka V. Olander. Their work appears in journals such as Clinical Chemistry, Nephrology Dialysis Transplantation, Blood, Clinical Cancer Research and Molecular Genetics and Metabolism.
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.