Neha Parikh

14 total papers · 662 total citations
11 papers, 430 citations indexed

About

Neha Parikh is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Neha Parikh has authored 11 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Neha Parikh's work include Cancer-related Molecular Pathways (5 papers), Cell death mechanisms and regulation (3 papers) and NF-κB Signaling Pathways (2 papers). Neha Parikh is often cited by papers focused on Cancer-related Molecular Pathways (5 papers), Cell death mechanisms and regulation (3 papers) and NF-κB Signaling Pathways (2 papers). Neha Parikh collaborates with scholars based in United States and India. Neha Parikh's co-authors include Lawrence A. Donehower, George Hinkal, Ryan L. Shuck, Priyadharsini Nagarajan, Satrajit Sinha, Susan G. Hilsenbeck, Lee Ann Garrett‐Sinha, Tajhal Dayaram, Catherine E. Gatza and Richard A. Gibbs and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and The Journal of Pathology.

In The Last Decade

Neha Parikh

11 papers receiving 419 citations

Author Peers

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

Author Last Decade Papers Cites
Neha Parikh 277 130 129 39 33 11 430
Amr H. Allam 191 0.7× 110 0.8× 170 1.3× 57 1.5× 18 0.5× 15 418
Dana Ishay-Ronen 198 0.7× 104 0.8× 186 1.4× 31 0.8× 18 0.5× 11 378
Hongxia Sun 238 0.9× 115 0.9× 150 1.2× 44 1.1× 13 0.4× 17 410
Neil Gray 252 0.9× 76 0.6× 138 1.1× 68 1.7× 15 0.5× 9 420
Yohei Hamaguchi 190 0.7× 136 1.0× 138 1.1× 37 0.9× 17 0.5× 16 409
Benjamin Green 149 0.5× 119 0.9× 117 0.9× 65 1.7× 28 0.8× 23 372
Shiyu Duan 278 1.0× 137 1.1× 84 0.7× 48 1.2× 11 0.3× 23 447
Agnese A. Pollice 206 0.7× 131 1.0× 121 0.9× 43 1.1× 20 0.6× 15 389
Claudia Capdevila 172 0.6× 145 1.1× 161 1.2× 72 1.8× 10 0.3× 8 406
Christopher J. Sevinsky 252 0.9× 109 0.8× 115 0.9× 29 0.7× 14 0.4× 13 404

Countries citing papers authored by Neha Parikh

Since Specialization
Citations

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

Fields of papers citing papers by Neha Parikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Parikh

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Parikh. A scholar is included among the top collaborators of Neha Parikh 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 Neha Parikh. Neha Parikh 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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