Disha Sharma

1.4k citations
58 papers · 372 · h-index 9

Impact in

  • Periodontics top 10%
    • Oral microbiology and periodontitis research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Circular RNAs in diseases 5
    • Single-cell and spatial transcriptomics 4
    • Genomics and Rare Diseases 4
    • Genetic Associations and Epidemiology 3

Disha Sharma

48 papers receiving 360 citations

Peers

Disha Sharma
Comparison fields: 5 of 95
  • Periodontics 30
  • Cancer Research 95
  • Biological Psychiatry 6
  • Molecular Biology 171
  • Pharmacology 16
Replace Sarah E. Kleinstein with:
Sarah E. Kleinstein United States
Hongyan Wang China
Aneta Ševčíková Slovakia
Zi‐Ran Kang China
Fernando Henrique Galvão Tessaro Brazil
Songpo Yao China
Yingxue Li China
Xinyan Xu China
Yanmin Liu China
Mario Rodríguez Rodríguez Spain
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Citations per field
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Sarah E. Kleinstein · 1×
Citations per year

Countries citing papers authored by Disha Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Disha Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Disha 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 Disha Sharma Line = papers co-authored together Disha 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 202057
2 201538
3 201937
4 202232
5 201920
6 202217
7 202316
8 202315
9 202412
10 20198
11 20208
12 19748
13 20207
14 20226
15 20216
16 20216
17 20235
18 20215
19 20185
20 20205

About Disha Sharma

Disha Sharma is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Cancer Research and Epidemiology, having authored 58 papers that have together received 372 indexed citations. Recurring topics across this work include Circular RNAs in diseases (5 papers), Single-cell and spatial transcriptomics (4 papers), Cancer-related molecular mechanisms research (4 papers), Oral microbiology and periodontitis research (4 papers), Genomics and Rare Diseases (4 papers), MicroRNA in disease regulation (4 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Periodontics (30 citations), Cancer Research (95 citations), Biological Psychiatry (6 citations), Molecular Biology (171 citations) and Pharmacology (16 citations). Disha Sharma has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Vinod Scaria, Mercy Rophina, M. Damodara Poojary, Debashish Danda, Pulukool Sandhya, Sridhar Sivasubbu, Shamsudheen Karuthedath Vellarikkal, Thomas Quertermous, Paul Cheng and Paras Sehgal. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Oral Diseases, Scientific Reports, Pharmacogenomics and Archives of Disease in Childhood.

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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