Prashant Sharma

459 citations
20 papers · 360 indexed · h-index 10

Impact in

Papers in

Prashant Sharma

19 papers receiving 344 citations

Peers

Prashant Sharma
Comparison fields: 5 of 80
  • Parasitology 43
  • Biomaterials 57
  • Immunology 80
  • Infectious Diseases 52
  • Biomedical Engineering 120
Replace Kulachart Jangpatarapongsa with:
Kulachart Jangpatarapongsa Thailand
Mauricio C. De Marzi Argentina
Saikat Manna United States
Venkata Raveendra Pothineni United States
Qing-Gong Nian China
Ann Harmsen United States
Antonino S. Cavallaro Australia
Alice F. Versiani Brazil
Neeta Jain United States
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Prashant Sharma relative to Kulachart Jangpatarapongsa Thailand Kulachart Jangpatarapongsa's profile →
Citations per field
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Kulachart Jangpatarapongsa · 1×
Citations per year

Countries citing papers authored by Prashant Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202336
2 202214
3 202125
4 20211
5 20211
6 201936
7 201943
8 20189
9 20184
10 201724
11 201624
12 201635
13 201546
14 201433
15
Detection of Equine Herpesvirus Infection: Sensitivity Assay of Polymerase Chain Reaction
20123
16 20127
17 20095
18 20095
19 19898
20
Immunological response of RM/65 sheep-pox vaccine in lambs
19871

About Prashant Sharma

Prashant Sharma is a scholar working on Microbiology, Parasitology, Animal Science and Zoology, Infectious Diseases and Immunology, having authored 20 papers that have together received 360 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (5 papers), Immunotherapy and Immune Responses (4 papers), Animal Virus Infections Studies (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Vector-borne infectious diseases (2 papers), Mosquito-borne diseases and control (2 papers), Antimicrobial Peptides and Activities (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Parasitology (43 citations), Biomaterials (57 citations), Immunology (80 citations), Infectious Diseases (52 citations) and Biomedical Engineering (120 citations). Prashant Sharma has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Nam‐Hyuk Cho, Young Keun Kim, Mario Otto, Bum Chul Park, Yuri Kim, Myung‐Sik Choi, Yu Jin Kim, Na‐Young Ha, Chan-Ki Min and Gwanghun Kim. Their work appears in journals such as Advanced Functional Materials, Nanoscale, Pharmaceutics, Bioactive Materials and Advanced Science.

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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