Madhvi Menon

62 total papers · 5.3k total citations
22 papers, 3.0k citations indexed

About

Madhvi Menon is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics and Rheumatology. According to data from OpenAlex, Madhvi Menon has authored 22 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Rheumatology. Recurrent topics in Madhvi Menon's work include T-cell and B-cell Immunology (8 papers), Bryophyte Studies and Records (5 papers) and Immune Cell Function and Interaction (5 papers). Madhvi Menon is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Bryophyte Studies and Records (5 papers) and Immune Cell Function and Interaction (5 papers). Madhvi Menon collaborates with scholars based in United Kingdom, United States and India. Madhvi Menon's co-authors include Claudia Mauri, Brian P. Hafler, José Dávila-Velderrain, Shahin Mohammadi, Manolis Kellis, Liang He, Anthony J. Martorell, Hansruedi Mathys, Jennie Z. Young and Xueqiao Jiang and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Madhvi Menon

22 papers receiving 2.9k citations

Hit Papers

Single-cell transcriptomi... 2019 2026 2021 2023 2019 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Madhvi Menon 1.1k 1.1k 777 606 219 22 3.0k
J E Merrill 1.5k 1.4× 721 0.7× 1.2k 1.5× 626 1.0× 405 1.8× 28 3.6k
Eileen McMahon 2.1k 1.9× 571 0.5× 664 0.9× 393 0.6× 325 1.5× 21 3.0k
Leonie A. Boven 875 0.8× 766 0.7× 835 1.1× 788 1.3× 191 0.9× 32 2.8k
Sunhee C. Lee 950 0.9× 826 0.8× 1.4k 1.8× 561 0.9× 173 0.8× 22 3.2k
Marjan van Meurs 1.5k 1.4× 878 0.8× 529 0.7× 865 1.4× 385 1.8× 64 3.3k
Stefano Angiari 878 0.8× 1.1k 1.0× 621 0.8× 556 0.9× 189 0.9× 31 2.8k
Shalina S. Ousman 748 0.7× 1.0k 1.0× 726 0.9× 355 0.6× 207 0.9× 40 2.7k
David Gate 650 0.6× 804 0.8× 1000 1.3× 944 1.6× 113 0.5× 38 2.7k
Bert van het Hof 869 0.8× 1.5k 1.4× 821 1.1× 303 0.5× 338 1.5× 48 3.1k
Sigrid R. Ruuls 1.3k 1.2× 489 0.5× 853 1.1× 244 0.4× 361 1.6× 25 2.5k

Countries citing papers authored by Madhvi Menon

Since Specialization
Citations

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

Fields of papers citing papers by Madhvi Menon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhvi Menon

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