Amit Kumar Singh

724 citations
41 papers · 482 · h-index 13

Impact in

Papers in

Amit Kumar Singh

39 papers receiving 474 citations

Peers

Amit Kumar Singh
Comparison fields: 5 of 76
  • Pharmaceutical Science 107
  • Infectious Diseases 173
  • Pulmonary and Respiratory Medicine 201
  • Molecular Medicine 29
  • Microbiology 26
Replace Diana H. Quan with:
Diana H. Quan Australia
Elizabeth J. Brooks United States
Yinuo Gu China
K. Mehta United States
Marinette Moynier France
Jorge M. B. Vítor Portugal
Ellen Lanckacker Belgium
Joana Magalhães Portugal
Jodi M. Lestner United Kingdom
Shufang Yang United States
Amit Kumar Singh relative to Diana H. Quan Australia Diana H. Quan's profile →
Citations per field
00.5×2.7×
Diana H. Quan · 1×
Citations per year

Countries citing papers authored by Amit Kumar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Amit Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amit Kumar Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amit Kumar Singh Line = papers co-authored together Amit Kumar Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202059
2 201857
3 201245
4 202033
5 201227
6 201025
7 201322
8 202320
9 202116
10 201013
11 202313
12 201113
13 201612
14 202211
15 202010
16 202010
17 20209
18 20138
19 20247
20 20237

About Amit Kumar Singh

Amit Kumar Singh is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases, Epidemiology, Surgery and Immunology, having authored 41 papers that have together received 482 indexed citations. Recurring topics across this work include Inhalation and Respiratory Drug Delivery (17 papers), Tuberculosis Research and Epidemiology (14 papers), Pneumonia and Respiratory Infections (6 papers), Mycobacterium research and diagnosis (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Advanced Drug Delivery Systems (4 papers), Computational Drug Discovery Methods (3 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Pharmaceutical Science (107 citations), Infectious Diseases (173 citations), Pulmonary and Respiratory Medicine (201 citations), Molecular Medicine (29 citations) and Microbiology (26 citations). Amit Kumar Singh has collaborated with scholars based in India, South Korea and Malaysia. Frequent co-authors include Rahul Kumar Verma, Umesh Gupta, Amit Misra, Pushpa Gupta, Umesh Datta Gupta, Atul Agrawal, Kalpesh Vaghasiya, Mradul Mohan, Ankur Sharma and Awadh Bihari Yadav. Their work appears in journals such as Tuberculosis, Journal of Controlled Release, Microbiology Spectrum, Pharmacogenomics 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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