Geeta Shakya

1.2k citations
39 papers · 814 indexed · h-index 16
Topics
Vibrio bacteria research studies (7 papers)Antibiotic Resistance in Bacteria (7 papers)Viral Infections and Vectors (6 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Infectious Diseases

In The Last Decade

Geeta Shakya

38 papers receiving 781 citations

Peers

Geeta Shakya
Comparison fields: 5 of 97
  • Endocrinology 261
  • Infectious Diseases 223
  • Public Health, Environmental and Occupational Health 194
  • Epidemiology 170
  • Food Science 140
Replace Juno Thomas with:
Juno Thomas South Africa
Maia A. Rabaa Vietnam
В. Г. Акимкин Russia
Janice Y.C. Lo China
Corinne N. Thompson Vietnam
Mathieu Tourdjman France
Barbara Barbé Belgium
Thomas F. Wierzba United States
Nguyen Vu Trung Vietnam
Ursula Panzner South Korea
Geeta Shakya relative to Juno Thomas South Africa Juno Thomas's profile →
Citations per field
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Citations per year

Countries citing papers authored by Geeta Shakya

Since Specialization
Citations

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

Fields of papers citing papers by Geeta Shakya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geeta Shakya

This figure shows the co-authorship network connecting the top 25 collaborators of Geeta Shakya. A scholar is included among the top collaborators of Geeta Shakya 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 Geeta Shakya. Geeta Shakya 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 2
2 9
3 24
4 18
5 26
6 26
7 13
8 14
9 17
10 33
11
Co-infection of Hepatitis C Among HIV-infected Population with DifferentRisk Groups in Kathmandu, Nepal.
3
12 0
13 13
14
Extended spectrum â-lactamase producing multidrug resistant clinical bacterial isolates at National Public Health Laboratory, Nepal.
15
15 19
16 10
17 28
18 74
19 14
20 29

About Geeta Shakya

Geeta Shakya is a scholar working on Applied Microbiology and Biotechnology, Endocrinology and Molecular Medicine, having authored 39 papers that have together received 814 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (7 papers), Antibiotic Resistance in Bacteria (7 papers) and Viral Infections and Vectors (6 papers). The work is most often cited by research in Endocrinology (261 citations), Applied Microbiology and Biotechnology (50 citations) and Molecular Medicine (117 citations). Geeta Shakya has collaborated with scholars based in Nepal, Thailand and United States. Frequent co-authors include Shailaja Adhikari, Bishnu Prasad Upadhyay, Sirjana Shrestha, Shyam Prakash Dumre, René S. Hendriksen, Lance B. Price, Talima Pearson, Paul Keim, Frank M. Aarestrup and Valeria Bortolaia. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Infectious Diseases.

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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