Roshan Sharma

4.4k citations
30 papers · 2.0k indexed · 1 hit paper · h-index 15
Topics
Single-cell and spatial transcriptomics (12 papers)Immune Cell Function and Interaction (6 papers)T-cell and B-cell Immunology (6 papers)

In The Last Decade

Roshan Sharma

27 papers receiving 2.0k citations

Hit Papers

Recovering Gene Interactions from Single-Cell Data Using ...20182026202020232018250500750

Peers

Roshan Sharma
Comparison fields: 5 of 117
  • Molecular Biology 1.2k
  • Oncology 566
  • Immunology 523
  • Cancer Research 330
  • Biophysics 143
Replace Vaidotas Kiseliovas with:
Vaidotas Kiseliovas Lithuania
Alicia N. Schep United States
Dalia Barkley United States
Raúl Catena Spain
Assieh Saadatpour United States
Oren Litvin United States
Nemanja D. Marjanovic United States
Jeffrey M. Granja United States
Andrew L. Ji United States
Valentina Proserpio Italy
Roshan Sharma relative to Vaidotas Kiseliovas Lithuania Vaidotas Kiseliovas's profile →
Citations per field
00.5×1.5×
Vaidotas Kiseliovas · 1×
Citations per year

Countries citing papers authored by Roshan Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Roshan Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roshan Sharma

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 0
4 3
5 1
6 1
7 17
8 1
9 53
10 20
11 36
12 58
13 238
14 61
15 68
16 37
17 33
18 12
19
Recovering Gene Interactions from Single-Cell Data Using Data Diffusionbreakdown →
945
20 2

About Roshan Sharma

Roshan Sharma is a scholar working on Immunology, Cancer Research and Oncology, having authored 30 papers that have together received 2.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (12 papers), Immune Cell Function and Interaction (6 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Biophysics (143 citations), Immunology (523 citations) and Cancer Research (330 citations). Roshan Sharma has collaborated with scholars based in United States, Canada and Lithuania. Frequent co-authors include Dana Pe’er, Linas Mažutis, Smita Krishnaswamy, Brian Bierie, Pooja Kathail, Christine L. Chaffer, Ambrose Carr, Cassandra Burdziak, Kevin R. Moon and David van Dijk. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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