Amit Kumar Singh

724 total citations
41 papers, 482 citations indexed

About

Amit Kumar Singh is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Epidemiology. According to data from OpenAlex, Amit Kumar Singh has authored 41 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 17 papers in Infectious Diseases and 17 papers in Epidemiology. Recurrent topics in Amit Kumar Singh's work include Inhalation and Respiratory Drug Delivery (17 papers), Tuberculosis Research and Epidemiology (14 papers) and Mycobacterium research and diagnosis (6 papers). Amit Kumar Singh is often cited by papers focused on Inhalation and Respiratory Drug Delivery (17 papers), Tuberculosis Research and Epidemiology (14 papers) and Mycobacterium research and diagnosis (6 papers). Amit Kumar Singh collaborates with scholars based in India, Malaysia and Chile. Amit Kumar Singh's 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 and has published in prestigious journals such as Scientific Reports, Journal of Controlled Release and Nanoscale.

In The Last Decade

Amit Kumar Singh

39 papers receiving 474 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amit Kumar Singh India 13 201 173 143 107 75 41 482
Diana H. Quan Australia 13 75 0.4× 129 0.7× 102 0.7× 39 0.4× 123 1.6× 20 411
Elizabeth J. Brooks United States 11 68 0.3× 343 2.0× 270 1.9× 41 0.4× 129 1.7× 11 526
Ellen Lanckacker Belgium 14 84 0.4× 137 0.8× 148 1.0× 14 0.1× 136 1.8× 18 519
Yinuo Gu China 12 116 0.6× 82 0.5× 174 1.2× 22 0.2× 245 3.3× 16 635
Shufang Yang United States 13 64 0.3× 163 0.9× 133 0.9× 56 0.5× 134 1.8× 29 640
Tomoyuki Masaki Japan 11 106 0.5× 79 0.5× 164 1.1× 12 0.1× 168 2.2× 17 649
Jodi M. Lestner United Kingdom 16 75 0.4× 567 3.3× 450 3.1× 23 0.2× 82 1.1× 18 818
Barnali Majumdar India 12 64 0.3× 184 1.1× 100 0.7× 14 0.1× 76 1.0× 20 474
Dagmar Fischer Germany 7 97 0.5× 14 0.1× 73 0.5× 168 1.6× 116 1.5× 11 506
K. Mehta United States 2 51 0.3× 142 0.8× 101 0.7× 38 0.4× 97 1.3× 6 367

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-authorship network of co-authors of Amit Kumar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Kumar Singh. A scholar is included among the top collaborators of Amit Kumar Singh 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 Kumar Singh. Amit Kumar Singh 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
1.
2.
Jadhav, Krishna, et al.. (2025). Host-Directed Therapy with Inhalable Lovastatin Microspheres for Matrix Metalloproteinase Inhibition in Tuberculosis. ACS Applied Bio Materials. 8(2). 1533–1546. 3 indexed citations
3.
Jadhav, Krishna, et al.. (2024). Effective cerebral tuberculosis treatment via nose-to-brain transport of anti-TB drugs using mucoadhesive nano-aggregates. Nanoscale. 16(35). 16485–16499. 7 indexed citations
4.
Jadhav, Krishna, Raghuraj Singh, Shweta Sharma, et al.. (2024). Trans-nasal brain delivery of anti-TB drugs by methyl-β-cyclodextrin microparticles show efficient mycobacterial clearance from central nervous system. Journal of Controlled Release. 378. 671–686. 6 indexed citations
5.
Das, Ritam, et al.. (2024). Insights into the genomic features and lifestyle of B1 subcluster mycobacteriophages. Journal of Basic Microbiology. 64(6). e2400027–e2400027.
6.
Sofi, Hasham S., Sonia Verma, Sanjay Singh, et al.. (2024). Macrophage-targeted versus free calcitriol as host-directed adjunct therapy against Mycobacterium tuberculosis infection in mice is bacteriostatic and mitigates tissue pathology. Tuberculosis. 148. 102536–102536. 3 indexed citations
7.
Jadhav, Krishna, Raghuraj Singh, Eupa Ray, et al.. (2023). Clofazimine nanoclusters show high efficacy in experimental TB with amelioration in paradoxical lung inflammation. Biomaterials Advances. 154. 213594–213594. 20 indexed citations
8.
Verma, Sonia, Hasham S. Sofi, Trisha Roy, et al.. (2023). Inhaled Adjunct Therapy with Second-Line Drug Candidates for Dose Reduction in Chemotherapeutic Regimens for Multi-drug-Resistant Tuberculosis. AAPS PharmSciTech. 24(5). 130–130. 7 indexed citations
9.
Singh, Amit Kumar, et al.. (2022). Management of Subclinical Mastitis for Better Yield in Dairy Animals: A Review. 84–91. 1 indexed citations
10.
11.
Verma, Sonia, Hasham S. Sofi, Lubna Azmi, et al.. (2022). Transient, inhaled gene therapy with gamma interferon mitigates pathology induced by host response in a mouse model of tuberculosis. Tuberculosis. 134. 102198–102198. 11 indexed citations
12.
Singh, Amit Kumar, Rahul Kumar Verma, Jatinder Kaur Mukker, et al.. (2021). Inhalable particles containing isoniazid and rifabutin as adjunct therapy for safe, efficacious and relapse-free cure of experimental animal tuberculosis in one month. Tuberculosis. 128. 102081–102081. 16 indexed citations
13.
Sharma, Neelesh, et al.. (2020). Putative biomarkers for early detection of mastitis in cattle. Animal Production Science. 60(14). 1721–1736. 10 indexed citations
14.
Sofi, Hasham S., Sonia Verma, Amit Kumar Singh, et al.. (2020). Transient Transfection of the Respiratory Epithelium with Gamma Interferon for Host-Directed Therapy in Pulmonary Tuberculosis. Molecular Therapy — Nucleic Acids. 22. 1121–1128. 9 indexed citations
15.
Singh, Amit Kumar & Umesh Gupta. (2018). Animal models of tuberculosis. The Indian Journal of Medical Research. 147(5). 456–463. 57 indexed citations
16.
Trehan, Vijay, et al.. (2017). Hydrogen peroxide test for intraoperative bile leak detection. Medical Journal Armed Forces India. 73(3). 256–260. 1 indexed citations
17.
Singh, Krishan P., et al.. (2017). Effect of wrist cooling on aerobic and anaerobic performance in elite sportsmen. Medical Journal Armed Forces India. 74(1). 38–43. 2 indexed citations
18.
Gaur, Amit, et al.. (2016). The effect of laparoscopic sleeve gastrectomy (LSG) on glycemic control in morbidly obese patients. International Journal of Surgery. 28. 131–135. 12 indexed citations
19.
Verma, Rahul Kumar, Atul Agrawal, Amit Kumar Singh, et al.. (2013). Inhalable microparticles of nitric oxide donors induce phagosome maturation and kill Mycobacterium tuberculosis. Tuberculosis. 93(4). 412–417. 22 indexed citations
20.
Yadav, Awadh Bihari, Amit Kumar Singh, Rahul Kumar Verma, et al.. (2010). The devil’s advocacy: When and why inhaled therapies for tuberculosis may not work. Tuberculosis. 91(1). 65–66. 13 indexed citations

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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