Ashwini Patil

2.3k citations
52 papers · 1.5k indexed · h-index 20
Topics
Bioinformatics and Genomic Networks (14 papers)Protein Structure and Dynamics (13 papers)Machine Learning in Bioinformatics (8 papers)
Partner nations
JapanIndiaUnited States

In The Last Decade

Ashwini Patil

49 papers receiving 1.5k citations

Peers

Ashwini Patil
Comparison fields: 5 of 113
  • Molecular Biology 1.2k
  • Computational Theory and Mathematics 157
  • Immunology 133
  • Materials Chemistry 127
  • Cell Biology 109
Replace Michael D. Ward with:
Michael D. Ward United States
Seth F. Harris United States
Inbal Paz Israel
Fabien Petel France
Catherine L. Worth Germany
Simona Panni Italy
Shiying Chen China
Andreas Zanzoni France
Elisabetta Moroni Italy
Jonathan A. Lee United States
Ashwini Patil relative to Michael D. Ward United States Michael D. Ward's profile →
Citations per field
00.5×7.3×
Michael D. Ward · 1×
Citations per year

Countries citing papers authored by Ashwini Patil

Since Specialization
Citations

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

Fields of papers citing papers by Ashwini Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashwini Patil

This figure shows the co-authorship network connecting the top 25 collaborators of Ashwini Patil. A scholar is included among the top collaborators of Ashwini Patil 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 Ashwini Patil. Ashwini Patil 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 1
3 5
4 12
5 17
6 12
7 16
8 9
9 1
10 141
11 41
12 63
13 27
14 2
15 85
16 19
17 20
18 44
19 231
20 117

About Ashwini Patil

Ashwini Patil is a scholar working on Molecular Biology, Immunology and Cell Biology, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (14 papers), Protein Structure and Dynamics (13 papers) and Machine Learning in Bioinformatics (8 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Computational Theory and Mathematics (157 citations) and Cancer Research (102 citations). Ashwini Patil has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Haruki Nakamura, Kenta Nakai, Kengo Kinoshita, Alok Sharma, Tatsuhiko Tsunoda, Ronesh Sharma, Yosvany López, Hariharan Easwaran, Stephen B. Baylin and Ioannis Kagiampakis. Their work appears in journals such as Cell, Nucleic Acids Research 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026