Suveena Sharma

2.3k total citations
18 papers, 1.8k citations indexed

About

Suveena Sharma is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Suveena Sharma has authored 18 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Immunology and 3 papers in Genetics. Recurrent topics in Suveena Sharma's work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (4 papers) and Heat shock proteins research (4 papers). Suveena Sharma is often cited by papers focused on Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (4 papers) and Heat shock proteins research (4 papers). Suveena Sharma collaborates with scholars based in United States, China and United Kingdom. Suveena Sharma's co-authors include Jinfang Zhu, Keji Zhao, Fang Yu, Gangqing Hu, Ryoji Yagi, Qingsong Tang, Lionel Feigenbaum, Daniel Northrup, Thelma M. Escobar and Stefan A. Muljo and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Suveena Sharma

18 papers receiving 1.8k citations

Peers

Suveena Sharma
Comparison fields: 5 of 88
  • Immunology 1.2k
  • Molecular Biology 641
  • Cancer Research 334
  • Surgery 268
  • Oncology 191
Replace Vladimir Ramirez-Carrozzi with:
Vladimir Ramirez-Carrozzi United States
Ji‐Yang Wang Japan
Jeff D. Colbert United States
Hans-Joachim Schoenfeld Switzerland
Monica Yabal Germany
Nancy A. Hong United States
Pengyan Xia China
Timo Burster Germany
Marika De Acetis Italy
Shivkumar Venkatasubrahmanyam United States
Vladimir Ramirez-Carrozzi United States View profile →
Citations per field, relative to Suveena Sharma
Suveena Sharma · 1×
Citations per year, relative to Suveena Sharma
Suveena Sharma · 1×

Countries citing papers authored by Suveena Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Suveena Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suveena Sharma

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 7
2 46
3 92
4 2
5 303
6 193
7 106
8 22
9 341
10 260
11 258
12 23
13 28
14 11
15 34
16 39
17 35
18 36

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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