Suvo Chatterjee

3.1k citations
16 papers · 1.5k indexed · 1 hit paper · h-index 10
Topics
Birth, Development, and Health (10 papers)Pregnancy and preeclampsia studies (7 papers)Gestational Diabetes Research and Management (7 papers)

In The Last Decade

Suvo Chatterjee

15 papers receiving 1.5k citations

Hit Papers

Multivariable association discovery in population-scale m...202120262022202420214008001.2k

Peers

Suvo Chatterjee
Comparison fields: 5 of 128
  • Molecular Biology 928
  • Physiology 280
  • Infectious Diseases 188
  • Epidemiology 170
  • Food Science 122
Replace Shyamal Peddada with:
Shyamal Peddada United States
Siyuan Ma United States
Jennifer M. Fettweis United States
Gabriel da Rocha Fernandes Brazil
Kelsey N. Thompson United States
Vicente Pérez‐Brocal Spain
Jeremy E. Wilkinson United States
Filipa Godoy‐Vitorino Puerto Rico
Himel Mallick United States
Cameron Martino United States
Suvo Chatterjee relative to Shyamal Peddada United States Shyamal Peddada's profile →
Citations per field
00.5×1.5×
Shyamal Peddada · 1×
Citations per year

Countries citing papers authored by Suvo Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Suvo Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suvo Chatterjee

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 39
3 11
4 13
5 12
6 16
7 21
8
Multivariable association discovery in population-scale meta-omics studiesbreakdown →
1302
9 0
10 11
11 10
12 5
13 1
14 1
15 1
16 13

About Suvo Chatterjee

Suvo Chatterjee is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Speech and Hearing, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Birth, Development, and Health (10 papers), Pregnancy and preeclampsia studies (7 papers) and Gestational Diabetes Research and Management (7 papers). The work is most often cited by research in Biological Psychiatry (63 citations), Periodontics (85 citations) and Molecular Biology (928 citations). Suvo Chatterjee has collaborated with scholars based in United States, Singapore and Ethiopia. Frequent co-authors include Ali Rahnavard, Himel Mallick, Boyu Ren, Curtis Huttenhower, Levi Waldron, Joseph N. Paulson, Lauren J. McIver, Yancong Zhang, Kelsey N. Thompson and Ayshwarya Subramanian. Their work appears in journals such as Nature Communications, Bioinformatics and American Journal of Clinical Nutrition.

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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