S. Sharma

1.8k citations
58 papers · 924 · h-index 14

Impact in

    • Mass Spectrometry Techniques and Applications
    • Advanced Proteomics Techniques and Applications
    • Analytical Chemistry and Chromatography
    • Composite Structure Analysis and Optimization

Papers in

S. Sharma

47 papers receiving 870 citations

Peers

S. Sharma
Comparison fields: 5 of 119
  • Spectroscopy 287
  • Mechanics of Materials 145
  • Materials Chemistry 241
  • Complementary and alternative medicine 35
  • Molecular Biology 281
Replace Hanjun Zhang with:
Hanjun Zhang China
Waltraud Kessler Germany
Huajun Hu China
Yujun Kim South Korea
Abhishek Pal India
H. Kaufmann Germany
Meiying Zhang China
Zhiyu Xie China
Fenglei Wang China
Xue Mei Li China
S. Sharma relative to Hanjun Zhang China Hanjun Zhang's profile →
Citations per field
00.5×11.7×
Hanjun Zhang · 1×
Citations per year

Countries citing papers authored by S. Sharma

Since Specialization
Citations

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

Fields of papers citing papers by S. Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012236
2 2018122
3 200675
4 201561
5 201556
6 200648
7 200741
8 201731
9 201122
10 201017
11 201217
12 201316
13 202316
14 202413
15 201512
16 202111
17 20129
18 20209
19 20189
20 20229

About S. Sharma

S. Sharma is a scholar working on Molecular Biology, Mechanics of Materials, Control and Systems Engineering, Spectroscopy and Biomedical Engineering, having authored 58 papers that have together received 924 indexed citations. Recurring topics across this work include Composite Structure Analysis and Optimization (10 papers), Vibration and Dynamic Analysis (8 papers), Mass Spectrometry Techniques and Applications (8 papers), Nanofluid Flow and Heat Transfer (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Supply Chain and Inventory Management (5 papers), Structural Load-Bearing Analysis (5 papers) and Advanced Proteomics Techniques and Applications (5 papers). The work is most often cited by research in Spectroscopy (287 citations), Mechanics of Materials (145 citations), Materials Chemistry (241 citations), Complementary and alternative medicine (35 citations) and Molecular Biology (281 citations). S. Sharma has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Naheed Ahmad, Utkarsh Gupta, Vlad Zabrouskov, Roshan Lal, Christopher Mullen, Luca Fornelli, Philip D. Compton, Neil L. Kelleher, Ryan T. Fellers and Roshan Lal. Their work appears in journals such as Journal of Proteome Research, Analytical Chemistry, Engineering With Computers, International Journal of Procurement Management and Molecular & Cellular Proteomics.

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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