Sandeep S. Davé

21.7k citations
93 papers · 4.0k indexed · 1 hit paper · h-index 28
Topics
Lymphoma Diagnosis and Treatment (46 papers)Viral-associated cancers and disorders (25 papers)Chronic Lymphocytic Leukemia Research (18 papers)

In The Last Decade

Sandeep S. Davé

85 papers receiving 3.9k citations

Hit Papers

IRF4 addiction in multiple myeloma20082026201420202008100200300400500

Peers

Sandeep S. Davé
Comparison fields: 5 of 112
  • Molecular Biology 1.8k
  • Oncology 1.5k
  • Pathology and Forensic Medicine 1.3k
  • Immunology 993
  • Cancer Research 942
Replace Shimin Hu with:
Shimin Hu United States
Chris M. Bacon United Kingdom
Roderick A.F. MacLeod Germany
Elizabeth Hyjek United States
Vu N. Ngo United States
E. Solomon United Kingdom
Šárka Pospı́šilová Czechia
C M Croce United States
Paul K. Pattengale United States
Jeremy Stinson United States
Sandeep S. Davé relative to Shimin Hu United States Shimin Hu's profile →
Citations per field
00.5×1.5×1.9×
Shimin Hu · 1×
Citations per year

Countries citing papers authored by Sandeep S. Davé

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep S. Davé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandeep S. Davé. 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 Sandeep S. Davé. The network helps show where Sandeep S. Davé may publish in the future.

Co-authorship network of co-authors of Sandeep S. Davé

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep S. Davé. A scholar is included among the top collaborators of Sandeep S. Davé based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sandeep S. Davé. Sandeep S. Davé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 5
3 1
4 45
5 8
6 7
7 0
8 10
9 11
10 0
11 34
12 2
13 3
14 101
15 45
16 111
17 254
18 371
19 139
20 173

About Sandeep S. Davé

Sandeep S. Davé is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology, having authored 93 papers that have together received 4.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (46 papers), Viral-associated cancers and disorders (25 papers) and Chronic Lymphocytic Leukemia Research (18 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.3k citations), Cancer Research (942 citations) and Genetics (644 citations). Sandeep S. Davé has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Louis M. Staudt, George W. Wright, Xin Yu, John Powell, Vu N. Ngo, Laurence Lamy, Cassandra Love, Dereje D. Jima, Elaine S. Jaffe and Georg Lenz. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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