Puja Adhikari

999 total citations
36 papers, 668 citations indexed

About

Puja Adhikari is a scholar working on Materials Chemistry, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Puja Adhikari has authored 36 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 12 papers in Molecular Biology and 11 papers in Infectious Diseases. Recurrent topics in Puja Adhikari's work include SARS-CoV-2 and COVID-19 Research (11 papers), Protein Structure and Dynamics (7 papers) and Computational Drug Discovery Methods (5 papers). Puja Adhikari is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (11 papers), Protein Structure and Dynamics (7 papers) and Computational Drug Discovery Methods (5 papers). Puja Adhikari collaborates with scholars based in United States, China and Iraq. Puja Adhikari's co-authors include W. Y. Ching, Rudolf Podgornik, Bahaa Jawad, Neng Li, Paul Rulis, Nicole F. Steinmetz, Saro San, Mo Xiong, Xiujian Zhao and Chamila C. Dharmawardhana and has published in prestigious journals such as Journal of Applied Physics, Advanced Functional Materials and Scientific Reports.

In The Last Decade

Puja Adhikari

35 papers receiving 661 citations

Peers

Puja Adhikari
Comparison fields: 5 of 80
  • Infectious Diseases 269
  • Molecular Biology 225
  • Materials Chemistry 193
  • Computational Theory and Mathematics 96
  • Electrical and Electronic Engineering 78
Yu‐Ming Chang Taiwan
Huanming Chen China
Pei Du China
Seung-Yub Lee United States
Fei Xiong China
Yanran Liu China
Weicheng Cai China
Michael A. O’Connell United Kingdom
Binh Vu United States
Amal Kasry Egypt
Yu‐Ming Chang Taiwan View profile →
Citations per field, relative to Puja Adhikari
Puja Adhikari · 1×
Citations per year, relative to Puja Adhikari
Puja Adhikari · 1×

Countries citing papers authored by Puja Adhikari

Since Specialization
Citations

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

Fields of papers citing papers by Puja Adhikari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Puja Adhikari

This figure shows the co-authorship network connecting the top 25 collaborators of Puja Adhikari. A scholar is included among the top collaborators of Puja Adhikari 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 Puja Adhikari. Puja Adhikari 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
# Work Indexed citations
1 2
2 2
3 25
4 4
5 5
6 4
7 6
8 8
9 0
10 16
11 10
12 53
13 14
14 10
15 21
16 11
17 16
18 18
19 24
20 32

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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