V. Shetty
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Acute Myeloid Leukemia Research 7
- Multiple Myeloma Research and Treatments 1
-
- Retinoids in leukemia and cellular processes 2
- Co-authors
- Azra Raza (4 shared papers)Suneel Mundle (5 shared papers)Raphael Borok (2 shared papers)S. Alvi (2 shared papers)S. Rifkin (3 shared papers)Sefer Gezer (1 shared paper)Amna Iftikhar (1 shared paper)Agapi Parcharidou (1 shared paper)
- Journals
- Hematological Oncology (1 paper)Blood (1 paper)Leukemia (1 paper)Journal of Anaesthesiology Clinical Pharmacology (1 paper)Annals of Hematology (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
V. Shetty
8 papers receiving 637 citations
Peers
Comparison fields: 5 of 46
- Hematology 510
- Genetics 126
- Emergency Medicine 74
- Immunology 129
- Cancer Research 60
Countries citing papers authored by V. Shetty
This map shows the geographic impact of V. Shetty'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 V. Shetty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Shetty more than expected).
Fields of papers citing papers by V. Shetty
This network shows the impact of papers produced by V. Shetty. 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 V. Shetty. The network helps show where V. Shetty may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Shetty, 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 | 1995 | 372 | |
| 2 | 1991 | 158 | |
| 3 | 2000 | 35 | |
| 4 | Spontaneous down-regulation of Fas-associated phosphatase-1 may contribute to excessive apoptosis in myelodysplastic marrows. | 1999 | 33 |
| 5 | Measurement of mRNA expression for a variety of cytokines and its receptors in bone marrows of patients with myelodysplastic syndromes. | 2000 | 32 |
| 6 | The relative extent and propensity of CD34+ vs. CD34- cells to undergo apoptosis in myelodysplastic marrows. | 1999 | 25 |
| 7 | 1998 | 12 | |
| 8 | 2023 | 1 | |
| 9 | 2025 | 0 | |
| 10 | 1994 | 0 |
About V. Shetty
V. Shetty is a scholar working on Hematology, Molecular Biology, Genetics, Emergency Medicine and Orthopedics and Sports Medicine, having authored 10 papers that have together received 668 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Bone and Joint Diseases (2 papers), Retinoids in leukemia and cellular processes (2 papers), Hematological disorders and diagnostics (2 papers), Acute Lymphoblastic Leukemia research (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Multiple Myeloma Research and Treatments (1 paper). The work is most often cited by research in Hematology (510 citations), Genetics (126 citations), Emergency Medicine (74 citations), Immunology (129 citations) and Cancer Research (60 citations). V. Shetty has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Azra Raza, Suneel Mundle, Raphael Borok, S. Alvi, S. Rifkin, Sefer Gezer, Amna Iftikhar, Agapi Parcharidou, Estella Matutes and Ricardo Morilla. Their work appears in journals such as Hematological Oncology, Blood, Leukemia, Journal of Anaesthesiology Clinical Pharmacology and Annals of Hematology.
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.