Sunitha Vege

1.9k citations
82 papers · 1.4k · h-index 18

Impact in

  • Hematology top 1%
    • Blood groups and transfusion
    • Iron Metabolism and Disorders
  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders
    • Blood disorders and treatments
    • Genetic diversity and population structure

Papers in

    • Blood groups and transfusion 67
    • Platelet Disorders and Treatments 5
    • Hemoglobinopathies and Related Disorders 21
    • Blood disorders and treatments 6

Sunitha Vege

75 papers receiving 1.4k citations

Peers

Sunitha Vege
Comparison fields: 5 of 75
  • Hematology 1.1k
  • Genetics 539
  • Physiology 576
  • Biochemistry 36
  • Genetics 142
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Citations per year

Countries citing papers authored by Sunitha Vege

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sunitha Vege Line = papers co-authored together Sunitha Vege links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013399
2 2018100
3 201873
4 201569
5 201769
6 201061
7 201047
8 199844
9 201937
10 201029
11 201324
12 200821
13 202121
14 200620
15 201720
16 202120
17 201219
18
Microsatellite genotypes of big brown bats (Eptesicus fuscus: Vespertilionidae, Chiroptera) obtained from their feces
200118
19 202018
20 201517

About Sunitha Vege

Sunitha Vege is a scholar working on Hematology, Genetics, Physiology, Genetics and Immunology, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Blood groups and transfusion (67 papers), Erythrocyte Function and Pathophysiology (33 papers), Hemoglobinopathies and Related Disorders (21 papers), Blood disorders and treatments (6 papers), Platelet Disorders and Treatments (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Parvovirus B19 Infection Studies (3 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (539 citations), Physiology (576 citations), Biochemistry (36 citations) and Genetics (142 citations). Sunitha Vege has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Connie M. Westhoff, Stella T. Chou, David F. Friedman, Tannoa Jackson, Kim Smith‐Whitley, Christine Lomas‐Francis, Marion E. Reid, Kim Hue‐Roye, Margaret Keller and Perry Evans. Their work appears in journals such as Transfusion, Blood, Vox Sanguinis, Blood Advances 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.

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