Naresh Chand Sharma

1.0k citations
26 papers · 572 indexed · h-index 13

Naresh Chand Sharma

24 papers receiving 551 citations

Peers

Naresh Chand Sharma
Comparison fields: 5 of 75
  • Endocrinology 386
  • Molecular Medicine 116
  • Food Science 135
  • Applied Microbiology and Biotechnology 12
  • Clinical Biochemistry 39
Replace Jun Yatsuyanagi with:
Jun Yatsuyanagi Japan
Tatsuya Nakayama Japan
Helen Tabor Canada
Vicente de Paulo Martins Brazil
Aline I. Moser Switzerland
Khaled Mohamed United Kingdom
M. Kmeťová Slovakia
Michaela Gutacker United States
S. Schubert Germany
Brett Weaver United States
Naresh Chand Sharma relative to Jun Yatsuyanagi Japan Jun Yatsuyanagi's profile →
Citations per field
00.5×4.3×
Jun Yatsuyanagi · 1×
Citations per year

Countries citing papers authored by Naresh Chand Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Naresh Chand Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naresh Chand Sharma. 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 Naresh Chand Sharma. The network helps show where Naresh Chand Sharma may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202214
3 20210
4 202118
5 20193
6 2019122
7 201729
8 20179
9 201610
10 201512
11 201513
12 201431
13 201312
14 201311
15 201114
16 20099
17 20085
18 200840
19
Changing profile of Vibrio cholerae O1, O139 in Delhi & its periphery (2003-2005).
200745
20 200536

About Naresh Chand Sharma

Naresh Chand Sharma is a scholar working on Endocrinology, Molecular Medicine and Horticulture, having authored 26 papers that have together received 572 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (10 papers), Aquaculture disease management and microbiota (7 papers), Salmonella and Campylobacter epidemiology (7 papers), Antibiotic Resistance in Bacteria (6 papers), Diphtheria, Corynebacterium, and Tetanus (5 papers), Plant Virus Research Studies (3 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Endocrinology (386 citations), Molecular Medicine (116 citations) and Food Science (135 citations). Naresh Chand Sharma has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Thandavarayan Ramamurthy, Bhabatosh Das, Ankur Mutreja, Thandavarayan Ramamurthy, Androulla Efstratiou, Igor Mokrousov, Madhu Jain, Pintu Kumar Mandal, Dhirendra Kumar and Asish K. Mukhopadhyay. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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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