Neha Agarwal

72 total papers · 1.7k total citations
31 papers, 1.2k citations indexed

About

Neha Agarwal is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Neha Agarwal has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Plant Science. Recurrent topics in Neha Agarwal's work include RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (5 papers) and Genomics and Chromatin Dynamics (3 papers). Neha Agarwal is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (5 papers) and Genomics and Chromatin Dynamics (3 papers). Neha Agarwal collaborates with scholars based in United States, India and Israel. Neha Agarwal's co-authors include Athar Ansari, Elena Chepurko, Prabhu Mathiyalagan, Erik Kohlbrenner, Susmita Sahoo, Roger J. Hajjar, Mateusz Adamiak, Divya Jha, Yaxuan Liang and Rihab Bouchareb and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Neha Agarwal

31 papers receiving 1.2k citations

Hit Papers

FTO-Dependent N 6 -Methyl... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Neha Agarwal 726 266 223 180 121 31 1.2k
Haihong Zhou 553 0.8× 123 0.5× 66 0.3× 255 1.4× 13 0.1× 44 1.3k
Reena V. Kartha 739 1.0× 150 0.6× 29 0.1× 492 2.7× 44 0.4× 48 1.3k
Chun‐Yi Wu 453 0.6× 186 0.7× 66 0.3× 85 0.5× 27 0.2× 31 955
Anna Caretti 740 1.0× 187 0.7× 29 0.1× 130 0.7× 48 0.4× 59 1.2k
Xinyuan Wang 891 1.2× 81 0.3× 25 0.1× 325 1.8× 34 0.3× 41 1.2k
Aditya Bhagwat 412 0.6× 107 0.4× 64 0.3× 117 0.7× 35 0.3× 37 1.1k
J. C. K. Lai 472 0.7× 219 0.8× 31 0.1× 18 0.1× 47 0.4× 34 1.3k
Wenyong Long 949 1.3× 167 0.6× 40 0.2× 374 2.1× 14 0.1× 37 1.4k
Diana Hernandez 746 1.0× 122 0.5× 22 0.1× 101 0.6× 60 0.5× 51 1.4k
Tae Gyu Choi 631 0.9× 138 0.5× 23 0.1× 163 0.9× 110 0.9× 39 1.3k

Countries citing papers authored by Neha Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Neha Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Agarwal

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