Harsh Sharma

709 citations
32 papers · 506 · h-index 9

Impact in

Papers in

Harsh Sharma

26 papers receiving 493 citations

Peers

Harsh Sharma
Comparison fields: 5 of 89
  • Biomedical Engineering 252
  • Bioengineering 27
  • Electrochemistry 26
  • Biotechnology 33
  • Molecular Biology 245
Replace Ayyappasamy Sudalaiyadum Perumal with:
Ayyappasamy Sudalaiyadum Perumal Canada
Il-Hoon Cho United States
Pranveer Singh India
Richard Swartwout United States
Sean Carim United States
Daniel Zabetakis United States
Xiaoyi Wang China
Shengjun Bu China
Miso Park South Korea
Romy Kirby United States
Harsh Sharma relative to Ayyappasamy Sudalaiyadum Perumal Canada Ayyappasamy Sudalaiyadum Perumal's profile →
Citations per field
00.5×4.9×
Ayyappasamy Sudalaiyadum Perumal · 1×
Citations per year

Countries citing papers authored by Harsh Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Harsh Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013168
2 201371
3 201368
4 201337
5 201929
6 201925
7 202323
8 202222
9 202410
10 20198
11 20226
12 20246
13 20195
14 20234
15 20234
16 20224
17
Role of enzyme linked immunosorbent assay in the diagnosis of suspected cases of genito urinary tuberculosis.
19993
18 20232
19 20222
20 20122

About Harsh Sharma

Harsh Sharma is a scholar working on Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering, Genetics and Electronic, Optical and Magnetic Materials, having authored 32 papers that have together received 506 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (4 papers), Forensic and Genetic Research (4 papers), Acoustic Wave Resonator Technologies (3 papers), Supercapacitor Materials and Fabrication (3 papers), Artificial Intelligence in Healthcare (2 papers), Advancements in Battery Materials (2 papers), Traffic Prediction and Management Techniques (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Biomedical Engineering (252 citations), Bioengineering (27 citations), Electrochemistry (26 citations), Biotechnology (33 citations) and Molecular Biology (245 citations). Harsh Sharma has collaborated with scholars based in India, United States and Russia. Frequent co-authors include Raj Mutharasan, Neelkanth Nirmalkar, Milan Kumar, Shivani Dixit, Pankaj Shrivastava, Kamlesh Kaitholia, Gargi Dey, A. Aijaz, Hirak Ranjan Dash and R. K. Kumawat. Their work appears in journals such as International Journal of Legal Medicine, Analytical Chemistry, International Journal of Sensor Networks, Sensors and Actuators B Chemical and Marine Mammal 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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