Pooja Arora

53 total papers · 1.4k total citations
30 papers, 990 citations indexed

About

Pooja Arora is a scholar working on Immunology, Molecular Biology and Pharmacology. According to data from OpenAlex, Pooja Arora has authored 30 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 7 papers in Molecular Biology and 5 papers in Pharmacology. Recurrent topics in Pooja Arora's work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (6 papers). Pooja Arora is often cited by papers focused on T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (6 papers). Pooja Arora collaborates with scholars based in United States, India and Singapore. Pooja Arora's co-authors include Rajesh S. Gokhale, Debasisa Mohanty, Vijayalakshmi Sridharan, Steven A. Porcelli, Archana Vats, Richard A. Festa, Susan M. Butler‐Wu, Mohd Zeeshan Ansari, K. Heran Darwin and Michael J. Pearce and has published in prestigious journals such as Nature, Journal of the American Chemical Society and The EMBO Journal.

In The Last Decade

Pooja Arora

29 papers receiving 976 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pooja Arora 451 306 289 232 200 30 990
Yaqi Zhu 457 1.0× 149 0.5× 655 2.3× 469 2.0× 65 0.3× 32 1.1k
A. Adam 360 0.8× 254 0.8× 172 0.6× 249 1.1× 42 0.2× 26 1.1k
John F. Gerster 354 0.8× 342 1.1× 103 0.4× 414 1.8× 75 0.4× 22 1.2k
Tobias Hertlein 423 0.9× 128 0.4× 327 1.1× 117 0.5× 48 0.2× 35 820
Damien Portevin 444 1.0× 184 0.6× 751 2.6× 627 2.7× 98 0.5× 29 1.2k
Preeti Saini 820 1.8× 67 0.2× 248 0.9× 217 0.9× 88 0.4× 27 1.2k
Akash Ranjan 576 1.3× 184 0.6× 214 0.7× 225 1.0× 34 0.2× 59 1.1k
Zhonghe Sun 406 0.9× 74 0.2× 502 1.7× 446 1.9× 44 0.2× 36 1.1k
Puneet Chopra 419 0.9× 97 0.3× 221 0.8× 165 0.7× 31 0.2× 44 849
Arshad Khan 407 0.9× 308 1.0× 453 1.6× 288 1.2× 20 0.1× 46 1.1k

Countries citing papers authored by Pooja Arora

Since Specialization
Citations

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

Fields of papers citing papers by Pooja Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pooja Arora

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

All Works

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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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