Sunitha Vege
Impact in
- Hematology top 1%
- Blood groups and transfusion
- Iron Metabolism and Disorders
- Platelet Disorders and Treatments
- Genetics top 1%
- Hemoglobinopathies and Related Disorders
- Blood disorders and treatments
Papers in
- Hematology 62
- Blood groups and transfusion 62
- Platelet Disorders and Treatments 5
- Physiology 51
- Erythrocyte Function and Pathophysiology 51
- Co-authors
- Connie M. Westhoff (63 shared papers)Stella T. Chou (14 shared papers)David F. Friedman (10 shared papers)Tannoa Jackson (4 shared papers)Kim Smith‐Whitley (1 shared paper)Christine Lomas‐Francis (31 shared papers)Kim Hue‐Roye (12 shared papers)Marion E. Reid (8 shared papers)
- Journals
- Transfusion (38 papers)Blood (7 papers)Blood Advances (3 papers)Scientific Reports (2 papers)Pancreas (2 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Sunitha Vege
66 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 72
- Hematology 977
- Genetics 671
- Physiology 770
- Genetics 195
- Biochemistry 35
Countries citing papers authored by Sunitha Vege
This map shows the geographic impact of Sunitha Vege'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 Sunitha Vege with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunitha Vege more than expected).
Fields of papers citing papers by Sunitha Vege
This network shows the impact of papers produced by Sunitha Vege. 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 Sunitha Vege. The network helps show where Sunitha Vege may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunitha Vege, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 352 | |
| 2 | 2018 | 88 | |
| 3 | 2015 | 61 | |
| 4 | 2017 | 56 | |
| 5 | 2010 | 53 | |
| 6 | 2010 | 45 | |
| 7 | 1998 | 45 | |
| 8 | 2019 | 29 | |
| 9 | 2010 | 25 | |
| 10 | 2013 | 23 | |
| 11 | 2021 | 20 | |
| 12 | 2012 | 19 | |
| 13 | 2006 | 19 | |
| 14 | 2008 | 18 | |
| 15 | 2017 | 17 | |
| 16 | 2011 | 16 | |
| 17 | 2007 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2020 | 16 | |
| 20 | Microsatellite genotypes of big brown bats (Eptesicus fuscus: Vespertilionidae, Chiroptera) obtained from their feces | 2001 | 15 |
About Sunitha Vege
Sunitha Vege is a scholar working on Hematology, Physiology, Genetics, Genetics and Immunology, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Blood groups and transfusion (62 papers), Erythrocyte Function and Pathophysiology (51 papers), Hemoglobinopathies and Related Disorders (29 papers), Blood disorders and treatments (9 papers), Parvovirus B19 Infection Studies (5 papers), Platelet Disorders and Treatments (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and Pancreatitis Pathology and Treatment (3 papers). The work is most often cited by research in Hematology (977 citations), Genetics (671 citations), Physiology (770 citations), Genetics (195 citations) and Biochemistry (35 citations). Sunitha Vege has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Connie M. Westhoff, Stella T. Chou, David F. Friedman, Tannoa Jackson, Kim Smith‐Whitley, Christine Lomas‐Francis, Kim Hue‐Roye, Marion E. Reid, Margaret Keller and Perry Evans. Their work appears in journals such as Transfusion, Blood, Blood Advances, Scientific Reports and Pancreas.
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.