Apurba Bhattarai

1.1k citations
16 papers · 590 indexed · 1 hit paper · h-index 11
Topics
Computational Drug Discovery Methods (8 papers)Receptor Mechanisms and Signaling (8 papers)Protein Structure and Dynamics (7 papers)
Journals
Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaScientific Reports
Partner nations
United StatesAustralia

In The Last Decade

Apurba Bhattarai

16 papers receiving 587 citations

Hit Papers

Gaussian accelerated molecular dynamics: Principles and a...2021202620222024202150100150

Peers

Apurba Bhattarai
Comparison fields: 5 of 92
  • Molecular Biology 462
  • Computational Theory and Mathematics 157
  • Materials Chemistry 80
  • Spectroscopy 73
  • Physiology 63
Replace L. Michel Espinoza‐Fonseca with:
L. Michel Espinoza‐Fonseca United States
Madoka Akimoto Canada
Andy Merritt United Kingdom
Henrik Keränen Sweden
Kong T. Nguyen Canada
Anna Berteotti Italy
R. N. V. Krishna Deepak Singapore
Sangbae Lee United States
O.V. Gnedenko Russia
Christophe Fromont United Kingdom
Apurba Bhattarai relative to L. Michel Espinoza‐Fonseca United States L. Michel Espinoza‐Fonseca's profile →
Citations per field
00.5×3.9×
L. Michel Espinoza‐Fonseca · 1×
Citations per year

Countries citing papers authored by Apurba Bhattarai

Since Specialization
Citations

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

Fields of papers citing papers by Apurba Bhattarai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Apurba Bhattarai

This figure shows the co-authorship network connecting the top 25 collaborators of Apurba Bhattarai. A scholar is included among the top collaborators of Apurba Bhattarai 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 Apurba Bhattarai. Apurba Bhattarai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 17
2 1
3 10
4 22
5 38
6 8
7
Gaussian accelerated molecular dynamics: Principles and applicationsbreakdown →
189
8 1
9 4
10 15
11 128
12 11
13 33
14 30
15 45
16 38

About Apurba Bhattarai

Apurba Bhattarai is a scholar working on Computational Theory and Mathematics, Physiology and Molecular Biology, having authored 16 papers that have together received 590 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Receptor Mechanisms and Signaling (8 papers) and Protein Structure and Dynamics (7 papers). The work is most often cited by research in Computational Theory and Mathematics (157 citations), Physiology (34 citations) and Molecular Biology (462 citations). Apurba Bhattarai has collaborated with scholars based in United States and Australia. Frequent co-authors include Yinglong Miao, Jinan Wang, Shristi Pawnikar, Giulia Palermo, Pablo Arantes, Yu‐ming M. Huang, Rohaine V. Hsu, N. Hung, Michael S. Wolfe and Sanjay Bhattarai. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Scientific Reports.

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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