Parirokh Awasthi

1.2k citations
18 papers · 483 indexed · h-index 11
Topics
Immune Cell Function and Interaction (7 papers)T-cell and B-cell Immunology (5 papers)Genomics and Chromatin Dynamics (4 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Parirokh Awasthi

17 papers receiving 480 citations

Peers

Parirokh Awasthi
Comparison fields: 5 of 70
  • Molecular Biology 307
  • Immunology 129
  • Genetics 77
  • Cell Biology 68
  • Oncology 51
Replace Kumiko Yoshinobu with:
Kumiko Yoshinobu Japan
Xueying Liang China
Sonal Datta India
Yotam Harnik Israel
Ilaria Gori United Kingdom
Gundula Streubel Ireland
H. Annika Siitonen Finland
Shigemi Sasawatari Japan
David Crawford United States
Yuki Yoshino Japan
Parirokh Awasthi relative to Kumiko Yoshinobu Japan Kumiko Yoshinobu's profile →
Citations per field
00.5×3.8×
Kumiko Yoshinobu · 1×
Citations per year

Countries citing papers authored by Parirokh Awasthi

Since Specialization
Citations

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

Fields of papers citing papers by Parirokh Awasthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parirokh Awasthi

This figure shows the co-authorship network connecting the top 25 collaborators of Parirokh Awasthi. A scholar is included among the top collaborators of Parirokh Awasthi 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 Parirokh Awasthi. Parirokh Awasthi 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
#WorkIndexed citations
1 0
2 1
3 52
4 11
5 8
6 14
7 8
8 5
9 88
10 27
11 17
12 29
13 121
14 58
15
Co-expression of IL-15 and IL-15R{alpha} on pancreatic {beta} islet cells induced insulin dependent diabetes mellitus in mice
1
16 1
17
Frozen sperm as an alternative to shipping live mice.
11
18 31

About Parirokh Awasthi

Parirokh Awasthi is a scholar working on Immunology, Genetics and Molecular Biology, having authored 18 papers that have together received 483 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (5 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Immunology (129 citations), Molecular Biology (307 citations) and Cell Biology (68 citations). Parirokh Awasthi has collaborated with scholars based in United States, China and France. Frequent co-authors include Qianming Chen, Yao Yuan, Ramiro Iglesias‐Bartolomé, Zhiyong Wang, Lionel Feigenbaum, Rafael Casellas, Russell Bandle, Wim Vermeulen, Jan H.J. Hoeijmakers and Hirotaka Nakahashi. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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