Amit Kaushik

1.3k citations
51 papers · 953 indexed · h-index 18
Topics
Tuberculosis Research and Epidemiology (23 papers)Mycobacterium research and diagnosis (17 papers)Antibiotic Resistance in Bacteria (8 papers)
Journals
SHILAP Revista de lepidopterologíaApplied Physics LettersPLoS ONE

In The Last Decade

Amit Kaushik

44 papers receiving 922 citations

Peers

Amit Kaushik
Comparison fields: 5 of 101
  • Infectious Diseases 507
  • Epidemiology 478
  • Organic Chemistry 182
  • Molecular Medicine 161
  • Molecular Biology 154
Replace Christopher Vinnard with:
Christopher Vinnard United States
Paul Bien United States
Varsha Moudgal United States
Devyani Deshpande United States
Sungweon Ryoo South Korea
Yifeng Ma China
L B Heifets United States
Jerry M. Zuckerman United States
Joseph Newman United States
Hossein Fazeli Iran
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Citations per field
00.5×3.9×
Christopher Vinnard · 1×
Citations per year

Countries citing papers authored by Amit Kaushik

Since Specialization
Citations

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

Fields of papers citing papers by Amit Kaushik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Kaushik

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Kaushik. A scholar is included among the top collaborators of Amit Kaushik 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 Amit Kaushik. Amit Kaushik 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
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6 2
7 1
8 5
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11 13
12 53
13 24
14
Analysis of AT&C Loss Reduction Techniques in 11 KV Electrical Distribution System (BSES Yamuna Power Ltd., Delhi)
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15 111
16 98
17 1
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20 6

About Amit Kaushik

Amit Kaushik is a scholar working on Molecular Medicine, Infectious Diseases and Epidemiology, having authored 51 papers that have together received 953 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (23 papers), Mycobacterium research and diagnosis (17 papers) and Antibiotic Resistance in Bacteria (8 papers). The work is most often cited by research in Molecular Medicine (161 citations), Infectious Diseases (507 citations) and Epidemiology (478 citations). Amit Kaushik has collaborated with scholars based in United States, India and Belgium. Frequent co-authors include Gyanu Lamichhane, Nicole Parrish, Nicole C. Ammerman, Eric L. Nuermberger, Urvashi B. Singh, Andrés Tovar, John E. Renaud, Neal Patel, Pankaj Kumar and Elizabeth Story‐Roller. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters 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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