Susmita Chatterjee

71 papers receiving 2.7k citations

Susmita Chatterjee's Hit Papers

High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response 2015 · 1.1k citations
1.1k0+3+7Years since publication2505007501000

Peers

Susmita Chatterjee
Comparison fields: 5 of 159
  • Business and International Management 95
  • Cancer Research 321
  • Oncology 491
  • Modeling and Simulation 78
  • Cellular and Molecular Neuroscience 271
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Fred David Ledley United States
John Eric Humphries United States
Ana Bela Sarmento‐Ribeiro Portugal
Lu Li China
Hyojin Kim South Korea
Christopher T. Dunwiddie United States
Eliot Marshall United Kingdom
Daniel S. Mytelka United States
Xiaoyu Song China
Louise M. Kelly Ireland
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Citations per field
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Citations per year

Countries citing papers authored by Susmita Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Susmita Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Susmita Chatterjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Susmita Chatterjee Line = papers co-authored together Susmita Chatterjee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response
Hit paper breakdown →
20151087
2 2020110
3 201197
4 201395
5 201094
6 201789
7 201083
8 201079
9 201675
10 201172
11 201750
12 202348
13 201746
14 201341
15 201440
16 200836
17 201335
18 201634
19 201233
20 201130

About Susmita Chatterjee

Susmita Chatterjee is a scholar working on Economics and Econometrics, Health, Infectious Diseases, Finance and Business and International Management, having authored 76 papers that have together received 2.8k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (10 papers), Tuberculosis Research and Epidemiology (9 papers), Healthcare Systems and Reforms (8 papers), Microfinance and Financial Inclusion (7 papers), Nicotinic Acetylcholine Receptors Study (6 papers), Innovation and Socioeconomic Development (6 papers), Receptor Mechanisms and Signaling (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). The work is most often cited by research in Business and International Management (95 citations), Cancer Research (321 citations), Oncology (491 citations), Modeling and Simulation (78 citations) and Cellular and Molecular Neuroscience (271 citations). Susmita Chatterjee has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Selena E. Bartlett, Ramanan Laxminarayan, Parijat Upadhyay, Sangita Dutta Gupta, Joan Y. Holgate, Jeffrey A. Simms, Carol Levin, Selena E. Bartlett, Arthorn Riewpaiboon and Arindam Nandi. Their work appears in journals such as Health Policy and Planning, Trials, BMJ Open, The International Journal of Tuberculosis and Lung Disease and Neuropsychopharmacology.

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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