Moti Chapagain

1.2k citations
26 papers · 879 · h-index 14

Impact in

    • Tuberculosis Research and Epidemiology
    • Viral Infections and Vectors
    • Antimicrobial Resistance in Staphylococcus
    • Antibiotic Resistance in Bacteria

Papers in

Moti Chapagain

26 papers receiving 858 citations

Peers

Moti Chapagain
Comparison fields: 5 of 91
  • Infectious Diseases 317
  • Molecular Medicine 81
  • Applied Microbiology and Biotechnology 26
  • Oncology 189
  • Public Health, Environmental and Occupational Health 175
Replace Miki Kawada with:
Miki Kawada Japan
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Lucy J. Hathaway Switzerland
Stacey X. Xu Canada
Girish Ramachandran United States
Reed Pifer United States
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Huilan Chang Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Moti Chapagain

Since Specialization
Citations

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

Fields of papers citing papers by Moti Chapagain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Moti Chapagain, 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 Moti Chapagain Line = papers co-authored together Moti Chapagain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009199
2 201095
3 201471
4 200764
5 201557
6 201856
7 201752
8 201148
9 201543
10 201733
11 200827
12 200624
13 202223
14 202018
15 202012
16 201412
17 20209
18 20217
19 20237
20 20217

About Moti Chapagain

Moti Chapagain is a scholar working on Epidemiology, Infectious Diseases, Oncology, Electrical and Electronic Engineering and Molecular Biology, having authored 26 papers that have together received 879 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (10 papers), Tuberculosis Research and Epidemiology (7 papers), Polyomavirus and related diseases (4 papers), Full-Duplex Wireless Communications (4 papers), Streptococcal Infections and Treatments (2 papers), Antenna Design and Analysis (2 papers), Neonatal and Maternal Infections (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Infectious Diseases (317 citations), Molecular Medicine (81 citations), Applied Microbiology and Biotechnology (26 citations), Oncology (189 citations) and Public Health, Environmental and Occupational Health (175 citations). Moti Chapagain has collaborated with scholars based in United States, South Africa and Nepal. Frequent co-authors include Vivek R. Nerurkar, Saguna Verma, Tawanda Gumbo, Ulziijargal Gurjav, Hari Prasad Nepal, Rajendra Gautam, Sony Shrestha, Shamshul Ansari, Mukesh Kumar and Shashikant Srivastava. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Antimicrobial Agents and Chemotherapy, The Journal of Infectious Diseases, Virology 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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