Monalisa Chatterji

24 total papers · 1.1k total citations
14 papers, 573 citations indexed

About

Monalisa Chatterji is a scholar working on Molecular Biology, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, Monalisa Chatterji has authored 14 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Infectious Diseases and 5 papers in Molecular Medicine. Recurrent topics in Monalisa Chatterji's work include Cancer therapeutics and mechanisms (7 papers), Antibiotic Resistance in Bacteria (5 papers) and Tuberculosis Research and Epidemiology (5 papers). Monalisa Chatterji is often cited by papers focused on Cancer therapeutics and mechanisms (7 papers), Antibiotic Resistance in Bacteria (5 papers) and Tuberculosis Research and Epidemiology (5 papers). Monalisa Chatterji collaborates with scholars based in United States, India and United Kingdom. Monalisa Chatterji's co-authors include Valakunja Nagaraja, Shyam Unniraman, David G. Schatz, Chia‐Lun Tsai, Sugopa Sengupta, Ashwini Narayan, Anthony Maxwell, Jyothi Bhat, Vasanthi Ramachandran and Sreevalli Sharma and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Monalisa Chatterji

14 papers receiving 554 citations

Author Peers

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

Author Last Decade Papers Cites
Monalisa Chatterji 363 159 141 109 92 14 573
Chen‐Yi Cheung 331 0.9× 217 1.4× 170 1.2× 75 0.7× 91 1.0× 32 579
Brian M. Lacey 414 1.1× 102 0.6× 67 0.5× 179 1.6× 55 0.6× 15 690
Krishna Sarva 387 1.1× 152 1.0× 150 1.1× 214 2.0× 39 0.4× 22 668
Joseph D. Chao 387 1.1× 319 2.0× 229 1.6× 51 0.5× 47 0.5× 14 644
Jason E. Cummings 304 0.8× 102 0.6× 97 0.7× 70 0.6× 134 1.5× 34 573
Dirk A. Lamprecht 368 1.0× 401 2.5× 275 2.0× 121 1.1× 42 0.5× 15 689
Inna V. Krieger 391 1.1× 252 1.6× 166 1.2× 42 0.4× 48 0.5× 28 668
Arnab China 360 1.0× 160 1.0× 115 0.8× 53 0.5× 201 2.2× 24 568
Ben Gold 283 0.8× 409 2.6× 268 1.9× 84 0.8× 106 1.2× 18 692
Frédéric Frénois 417 1.1× 224 1.4× 132 0.9× 97 0.9× 39 0.4× 22 653

Countries citing papers authored by Monalisa Chatterji

Since Specialization
Citations

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

Fields of papers citing papers by Monalisa Chatterji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monalisa Chatterji

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026