Samrat Chatterjee

74 papers receiving 2.8k citations

Samrat Chatterjee's Hit Papers

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 2021 · 2.1k citations
2.1k0+1+3Years since publication5001k1.5k2k

Peers

Samrat Chatterjee
Comparison fields: 5 of 136
  • Epidemiology 1.1k
  • Aging 35
  • Public Health, Environmental and Occupational Health 427
  • Infectious Diseases 195
  • Molecular Biology 490
Replace Manlio Di Cristina with:
Manlio Di Cristina Italy
Sumit Rathore India
Xiaopeng Qi China
Abhilash I. Chiramel United States
Clarissa M. Maya‐Monteiro Brazil
Valentina Massa Italy
Nandadulal Bairagi India
Yee‐Shin Lin Taiwan
Kai Er Eng Sweden
Mélanie Denizot France
Samrat Chatterjee relative to Manlio Di Cristina Italy Manlio Di Cristina's profile →
Citations per field
00.5×1.5×1.9×
Manlio Di Cristina · 1×
Citations per year

Countries citing papers authored by Samrat Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Samrat Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Samrat 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 Samrat Chatterjee Line = papers co-authored together Samrat Chatterjee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1
Hit paper breakdown →
20212067
2 201488
3 201549
4 200748
5 200643
6 200842
7 200738
8 200838
9 200933
10 200827
11 200623
12 202122
13 200621
14 201518
15 200817
16 201416
17 201516
18 200615
19 202015
20 201014

About Samrat Chatterjee

Samrat Chatterjee is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Modeling and Simulation, Molecular Biology and Epidemiology, having authored 81 papers that have together received 2.9k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (30 papers), Tuberculosis Research and Epidemiology (11 papers), Bioinformatics and Genomic Networks (8 papers), Gene Regulatory Network Analysis (7 papers), Pancreatic function and diabetes (5 papers), Mathematical Biology Tumor Growth (4 papers), Autophagy in Disease and Therapy (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Epidemiology (1.1k citations), Aging (35 citations), Public Health, Environmental and Occupational Health (427 citations), Infectious Diseases (195 citations) and Molecular Biology (490 citations). Samrat Chatterjee has collaborated with scholars based in India, Italy and South Africa. Frequent co-authors include Joydev Chattopadhyay, Joydev Chattopadhyay, Ezio Venturino, Kanury V. S. Rao, Nandadulal Bairagi, Marco Isaia, Samares Pal, Krishna Pada Das, Subhendu Chakraborty and Dipanka Tanu Sarmah. Their work appears in journals such as Journal of Theoretical Biology, Applied Mathematical Modelling, Nonlinear Analysis Real World Applications, BMC Systems Biology and Mathematical Biosciences.

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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