Aditya K. Padhi

1.5k citations
55 papers · 983 indexed · h-index 18
Topics
SARS-CoV-2 and COVID-19 Research (19 papers)vaccines and immunoinformatics approaches (15 papers)Amyotrophic Lateral Sclerosis Research (12 papers)
Partner nations
IndiaJapanSaudi Arabia

In The Last Decade

Aditya K. Padhi

48 papers receiving 971 citations

Peers

Aditya K. Padhi
Comparison fields: 5 of 88
  • Molecular Biology 571
  • Infectious Diseases 437
  • Computational Theory and Mathematics 156
  • Immunology 126
  • Radiology, Nuclear Medicine and Imaging 122
Replace Dhaval N. Gosalia with:
Dhaval N. Gosalia United States
Kornelia Hardes Germany
Jana Schmitzová Germany
Prakasha Kempaiah United States
Marco R. Straus United States
Fikadu Tafesse United States
David Shum South Korea
Gwo‐Yu Chuang United States
Jinkui Niu United States
Lucas Farnung Germany
Aditya K. Padhi relative to Dhaval N. Gosalia United States Dhaval N. Gosalia's profile →
Citations per field
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Dhaval N. Gosalia · 1×
Citations per year

Countries citing papers authored by Aditya K. Padhi

Since Specialization
Citations

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

Fields of papers citing papers by Aditya K. Padhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aditya K. Padhi. 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 Aditya K. Padhi. The network helps show where Aditya K. Padhi may publish in the future.

Co-authorship network of co-authors of Aditya K. Padhi

This figure shows the co-authorship network connecting the top 25 collaborators of Aditya K. Padhi. A scholar is included among the top collaborators of Aditya K. Padhi 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 Aditya K. Padhi. Aditya K. Padhi 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 0
2 3
3 0
4 5
5 3
6 12
7 4
8 2
9 1
10 12
11 2
12 6
13 25
14 27
15 40
16 24
17 48
18 64
19 157
20 57

About Aditya K. Padhi

Aditya K. Padhi is a scholar working on Infectious Diseases, Neurology and Molecular Biology, having authored 55 papers that have together received 983 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (19 papers), vaccines and immunoinformatics approaches (15 papers) and Amyotrophic Lateral Sclerosis Research (12 papers). The work is most often cited by research in Infectious Diseases (437 citations), Computational Theory and Mathematics (156 citations) and Molecular Biology (571 citations). Aditya K. Padhi has collaborated with scholars based in India, Japan and Saudi Arabia. Frequent co-authors include Timir Tripathi, Parismita Kalita, Kam Y. J. Zhang, James Gomes, B. Jayaram, Prakash Saudagar, Suhas Vasaikar, Rohit Shukla, James Gomes and Harish Shukla. Their work appears in journals such as Journal of the American Chemical Society, Nature Immunology and PLoS ONE.

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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