S. Sharma

1.2k total citations
19 papers, 615 citations indexed

About

S. Sharma is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, S. Sharma has authored 19 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Spectroscopy and 2 papers in Oncology. Recurrent topics in S. Sharma's work include Mass Spectrometry Techniques and Applications (8 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Advanced Proteomics Techniques and Applications (5 papers). S. Sharma is often cited by papers focused on Mass Spectrometry Techniques and Applications (8 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Advanced Proteomics Techniques and Applications (5 papers). S. Sharma collaborates with scholars based in United States, India and Czechia. S. Sharma's co-authors include Naheed Ahmad, Vlad Zabrouskov, Christopher Mullen, Ryan T. Fellers, Luca Fornelli, Neil L. Kelleher, Philip D. Compton, Romain Huguet, Michael W. Senko and Kenneth R. Durbin and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Chemistry and Molecules.

In The Last Decade

S. Sharma

19 papers receiving 602 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Sharma United States 10 277 274 192 97 52 19 615
Joo Yeon Oh South Korea 14 262 0.9× 211 0.8× 68 0.4× 77 0.8× 22 0.4× 25 607
Wenjie Gao China 13 61 0.2× 333 1.2× 45 0.2× 52 0.5× 17 0.3× 32 510
Kefeng Wu China 17 86 0.3× 623 2.3× 251 1.3× 262 2.7× 46 0.9× 45 815
Anuj K. Yadav United States 14 65 0.2× 285 1.0× 99 0.5× 237 2.4× 17 0.3× 33 652
Qianyi Wang United States 12 157 0.6× 117 0.4× 40 0.2× 88 0.9× 13 0.3× 29 348
Qichen Cao China 13 117 0.4× 287 1.0× 24 0.1× 43 0.4× 18 0.3× 23 424
Xiluan Yan China 11 28 0.1× 269 1.0× 79 0.4× 145 1.5× 14 0.3× 25 381
Mohsen Alipour Iran 7 27 0.1× 181 0.7× 238 1.2× 56 0.6× 38 0.7× 10 424
Yanrong Wen China 11 207 0.7× 311 1.1× 75 0.4× 265 2.7× 5 0.1× 20 616

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-authorship network of co-authors of S. Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of S. Sharma. A scholar is included among the top collaborators of S. Sharma 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 S. Sharma. S. Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Manna, P. K., et al.. (2025). Lightweight 3d-element-rich high-entropy alloy superconductor with high critical field and current density. Physical Review Materials. 9(9). 1 indexed citations
2.
Brademan, Dain R., Katherine A. Overmyer, Yuchen He, et al.. (2023). Improved Structural Characterization of Glycerophospholipids and Sphingomyelins with Real-Time Library Searching. Analytical Chemistry. 95(20). 7813–7821. 4 indexed citations
3.
Sharma, S.. (2023). Probing elementary particles at the CMS experiment. The European Physical Journal Special Topics. 232(17). 2797–2830. 1 indexed citations
4.
Barshop, William D., S. Sharma, Jesse D. Canterbury, et al.. (2022). Novel Real-Time Library Search Driven Data Acquisition Strategy for Identification and Characterization of Metabolites. Analytical Chemistry. 94(9). 3749–3755. 9 indexed citations
5.
Sharma, S., et al.. (2020). Pulmonary clofazimine-induced crystal-storing histiocytosis. The Indian Journal of Medical Research. 152(Suppl 1). S169–S169. 3 indexed citations
6.
Panse, Christian, S. Sharma, Romain Huguet, et al.. (2020). Ultraviolet Photodissociation for Non-Target Screening-Based Identification of Organic Micro-Pollutants in Water Samples. Molecules. 25(18). 4189–4189. 7 indexed citations
7.
Ma, Shuguang, et al.. (2019). Enhanced metabolite identification using orbitrap tribrid mass spectrometer. Drug Metabolism and Pharmacokinetics. 34(1). S32–S33. 1 indexed citations
8.
Sharma, S., et al.. (2018). Development and validation of Hplc-Uv method for quantification of podophyllotoxin in Podophyllum hexandrum Royle. Journal of Pharmacognosy and Phytochemistry. 7(2). 3748–3752. 4 indexed citations
9.
Sharma, S., et al.. (2018). Role of E-cadherin in Progression of Oral Squamous Cell Carcinoma: A Retrospective Immunohistochemical Study. The Journal of Contemporary Dental Practice. 19(9). 1105–1110. 8 indexed citations
10.
Fornelli, Luca, Kristina Srzentić, Romain Huguet, et al.. (2018). Accurate Sequence Analysis of a Monoclonal Antibody by Top-Down and Middle-Down Orbitrap Mass Spectrometry Applying Multiple Ion Activation Techniques. Analytical Chemistry. 90(14). 8421–8429. 114 indexed citations
11.
Sharma, S., et al.. (2018). Ultra high resolution MS for confident metabolite structure identification. Drug Metabolism and Pharmacokinetics. 33(1). S24–S24. 1 indexed citations
12.
Lee, Linda, Martial Rey, Vladimir Sarpe, et al.. (2017). Neprosin, a Selective Prolyl Endoprotease for Bottom-up Proteomics and Histone Mapping. Molecular & Cellular Proteomics. 16(6). 1162–1171. 31 indexed citations
13.
Zheng, Yupeng, Luca Fornelli, Philip D. Compton, et al.. (2015). Unabridged Analysis of Human Histone H3 by Differential Top-Down Mass Spectrometry Reveals Hypermethylated Proteoforms from MMSET/NSD2 Overexpression. Molecular & Cellular Proteomics. 15(3). 776–790. 58 indexed citations
14.
Riley, Nicholas M., Christopher Mullen, Chad R. Weisbrod, et al.. (2015). Enhanced Dissociation of Intact Proteins with High Capacity Electron Transfer Dissociation. Journal of the American Society for Mass Spectrometry. 27(3). 520–531. 56 indexed citations
15.
Huang, Xin, Lin Huang, Hong Peng, et al.. (2013). ISPTM: An Iterative Search Algorithm for Systematic Identification of Post-translational Modifications from Complex Proteome Mixtures. Journal of Proteome Research. 12(9). 3831–3842. 15 indexed citations
16.
Huang, Xin, Changhai Tian, Miao Liu, et al.. (2012). Quantitative Proteomic Analysis of Mouse Embryonic Fibroblasts and Induced Pluripotent Stem Cells Using 16O/18O Labeling. Journal of Proteome Research. 11(4). 2091–2102. 9 indexed citations
17.
Ahmad, Naheed & S. Sharma. (2012). Green Synthesis of Silver Nanoparticles Using Extracts of <i>Ananas comosus</i>. Green and Sustainable Chemistry. 2(4). 141–147. 200 indexed citations
18.
Xiong, Lei, Agus Darwanto, S. Sharma, et al.. (2011). Mass Spectrometric Studies on Epigenetic Interaction Networks in Cell Differentiation. Journal of Biological Chemistry. 286(15). 13657–13668. 22 indexed citations
19.
Sharma, S., David C. Simpson, Nikola Tolić, et al.. (2006). Proteomic Profiling of Intact Proteins Using WAX-RPLC 2-D Separations and FTICR Mass Spectrometry. Journal of Proteome Research. 6(2). 602–610. 71 indexed citations

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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