Deepa Trivedi

415 citations
21 papers · 273 · h-index 6

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 7
    • Blood groups and transfusion 2
    • Hemoglobinopathies and Related Disorders 8

Deepa Trivedi

18 papers receiving 272 citations

Peers

Deepa Trivedi
Comparison fields: 5 of 61
  • Hematology 39
  • Oncology 89
  • Immunology 65
  • Epidemiology 93
  • Genetics 50
Replace Dhaval Dixit with:
Dhaval Dixit United States
Roseta Teijeiro Spain
Minghuan Yu United States
Emma L. Cambridge United Kingdom
Kathryn D. Tuttle United States
M. C. Alonso Spain
Nágela Ghabdan Zanluqui Brazil
Gabrielle Boucher Canada
Peter Dias United States
Tatsuo Oyake Japan
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Citations per field
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Citations per year

Countries citing papers authored by Deepa Trivedi

Since Specialization
Citations

This map shows the geographic impact of Deepa Trivedi'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 Deepa Trivedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepa Trivedi more than expected).

Fields of papers citing papers by Deepa Trivedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepa Trivedi. 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 Deepa Trivedi. The network helps show where Deepa Trivedi may publish in the future.

Co-authors

The 22 scholars most cited alongside Deepa Trivedi, 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 Deepa Trivedi Line = papers co-authored together Deepa Trivedi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200471
2 198769
3 200740
4 198035
5 200925
6 20039
7 20215
8 20214
9 20204
10 20222
11 20072
12 20181
13 20191
14 20221
15 20051
16 20041
17 20061
18 20181
19 20250
20 20230

About Deepa Trivedi

Deepa Trivedi is a scholar working on Hematology, Genetics, Oncology, Epidemiology and Immunology, having authored 21 papers that have together received 273 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Cytomegalovirus and herpesvirus research (6 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (4 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Hematology (39 citations), Oncology (89 citations), Immunology (65 citations), Epidemiology (93 citations) and Genetics (50 citations). Deepa Trivedi has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Richard J. O’Reilly, Guenther Koehne, Roxanne Y. Williams, Michael J.O. Wakelam, Gerard J. Murphy, Miles D. Houslay, Victor J. Hruby, Wouter J.W. Kollen, Aisha Hasan and O Ylikorkala. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Annals of Hematology, The Journal of Immunology and Journal of Allergy and Clinical Immunology.

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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