Bhagwan Yadav

4.4k citations
38 papers · 1.7k indexed · 1 hit paper · h-index 20
Topics
Computational Drug Discovery Methods (8 papers)Bioinformatics and Genomic Networks (7 papers)Chronic Myeloid Leukemia Treatments (7 papers)

In The Last Decade

Bhagwan Yadav

37 papers receiving 1.7k citations

Hit Papers

Searching for Drug Synergy in Complex Dose–Response Lands...20152026201820222015100200300400500

Peers

Bhagwan Yadav
Comparison fields: 5 of 118
  • Molecular Biology 1.1k
  • Oncology 392
  • Hematology 364
  • Computational Theory and Mathematics 307
  • Cancer Research 234
Replace Monica Schenone with:
Monica Schenone United States
Anthony M. Giannetti United States
Shingo Dan Japan
Mårten Fryknäs Sweden
David H. Drewry United States
Xiaoyun Lu China
Muntasir Mamun Majumder Finland
Pietro Ciceri Spain
Paul Nimmer United States
Alexander R. Shoemaker United States
Bhagwan Yadav relative to Monica Schenone United States Monica Schenone's profile →
Citations per field
00.5×1.5×
Monica Schenone · 1×
Citations per year

Countries citing papers authored by Bhagwan Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Bhagwan Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bhagwan Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Bhagwan Yadav. A scholar is included among the top collaborators of Bhagwan Yadav 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 Bhagwan Yadav. Bhagwan Yadav 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 4
2 41
3 28
4 106
5 21
6 32
7 41
8 1
9 27
10 56
11 66
12 44
13 72
14 52
15 18
16
Searching for Drug Synergy in Complex Dose–Response Landscapes Using an Interaction Potency Modelbreakdown →
506
17 16
18 19
19 214
20 76

About Bhagwan Yadav

Bhagwan Yadav is a scholar working on Hematology, Computational Theory and Mathematics and Pharmacology, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Bioinformatics and Genomic Networks (7 papers) and Chronic Myeloid Leukemia Treatments (7 papers). The work is most often cited by research in Hematology (364 citations), Computational Theory and Mathematics (307 citations) and Genetics (198 citations). Bhagwan Yadav has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Krister Wennerberg, Tero Aittokallio, Jing Tang, Caroline A. Heckman, Olli Kallioniemi, Agnieszka Szwajda, Kimmo Porkka, Mika Kontro, Muntasir Mamun Majumder and Disha Malani. Their work appears in journals such as Nature, Journal of Biological Chemistry and Blood.

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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