Deepak Sharma

104 papers receiving 2.0k citations

Peers

Deepak Sharma
Comparison fields: 5 of 136
  • Structural Biology 37
  • Infectious Diseases 356
  • Biotechnology 138
  • Aging 27
  • Molecular Medicine 73
Replace Anil Kumar Verma with:
Anil Kumar Verma India
Yujia Zhai China
Pamela V. Chang United States
Pier Carlo Braga Italy
Lin‐Woo Kang South Korea
Xavier Fernàndez‐Busquets Spain
Cosmin Mihai Romania
Menachem Shoham United States
Julian Weghuber Austria
Israr Khan Pakistan
Deepak Sharma relative to Anil Kumar Verma India Anil Kumar Verma's profile →
Citations per field
00.5×6.2×
Anil Kumar Verma · 1×
Citations per year

Countries citing papers authored by Deepak Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005209
2 2009113
3 2006108
4 2007104
5 2004100
6 200788
7 200865
8 200963
9 200557
10 201152
11 201149
12 200946
13 201335
14 201634
15 200833
16 200833
17
Signal transduction systems of mycobacteria with special reference to M. tuberculosis
200431
18 201431
19 200631
20 200830

About Deepak Sharma

Deepak Sharma is a scholar working on Molecular Biology, Infectious Diseases, Atomic and Molecular Physics, and Optics, Genetics and Epidemiology, having authored 115 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 papers), Tuberculosis Research and Epidemiology (14 papers), Heat shock proteins research (13 papers), Force Microscopy Techniques and Applications (9 papers), Mycobacterium research and diagnosis (7 papers), Prion Diseases and Protein Misfolding (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Enzyme Structure and Function (6 papers). The work is most often cited by research in Structural Biology (37 citations), Infectious Diseases (356 citations), Biotechnology (138 citations), Aging (27 citations) and Molecular Medicine (73 citations). Deepak Sharma has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Daniel C. Masison, Hongbin Li, Jaya Sivaswami Tyagi, Amar Jyoti, Yi Cao, Swapandeep Singh Chimni, Harvinder Singh Saini, Bhupinder Singh Chadha, Santosh Chauhan and M. M. Balamurali. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, International Journal of Biological Macromolecules, PLoS Genetics and Biophysical Chemistry.

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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