Deepa Bhavsar

431 citations
14 papers · 263 · h-index 7

Impact in

Papers in

    • Molecular Biology Techniques and Applications 3
    • RNA regulation and disease 3
    • Protein Degradation and Inhibitors 1
    • Iron Metabolism and Disorders 5

Deepa Bhavsar

13 papers receiving 260 citations

Peers

Deepa Bhavsar
Comparison fields: 5 of 60
  • Genetics 31
  • Organic Chemistry 73
  • Molecular Biology 155
  • Immunology 43
  • Oncology 47
Replace Hiroyuki Moritomo with:
Hiroyuki Moritomo Japan
Jean-Pierre Evenou Switzerland
Pierre Champelovier France
David Koditek United States
Joshua A. Ballard United States
Wendy R. Tate United States
Andiliy Lai United States
Kerrie B. Spencer United States
Hugues Bernard United States
Abel Tesfaye Anshabo Australia
Deepa Bhavsar relative to Hiroyuki Moritomo Japan Hiroyuki Moritomo's profile →
Citations per field
00.5×1.5×
Hiroyuki Moritomo · 1×
Citations per year

Countries citing papers authored by Deepa Bhavsar

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Bhavsar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepa Bhavsar, 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 Bhavsar Line = papers co-authored together Deepa Bhavsar links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200583
2 201373
3 202057
4 199710
5 20209
6 19948
7 19946
8 19926
9 19953
10 20233
11 20142
12
Preliminary observations on the isolation and identification of rinderpest virus from an ovine outbreak in Karnataka state.
19901
13 19941
14 20251

About Deepa Bhavsar

Deepa Bhavsar is a scholar working on Molecular Biology, Hematology, Oncology, Organic Chemistry and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 263 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (5 papers), Molecular Biology Techniques and Applications (3 papers), RNA regulation and disease (3 papers), Trace Elements in Health (2 papers), Click Chemistry and Applications (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Genetics (31 citations), Organic Chemistry (73 citations), Molecular Biology (155 citations), Immunology (43 citations) and Oncology (47 citations). Deepa Bhavsar has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include George Perides, Powen Tu, Jhung W. Jhung, Robert Homer, Mariano Severgnini, Amy Simon, Satoe Takahashi, Brent Cochran, J Drysdale and Hongyu Zheng. Their work appears in journals such as Clinical Cancer Research, Blood, Advances in experimental medicine and biology, Molecular Cancer Therapeutics and Journal of the American Chemical Society.

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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