Devyani Chowdhury

58 papers receiving 868 citations

Peers

Devyani Chowdhury
Comparison fields: 5 of 110
  • Obstetrics and Gynecology 82
  • Cardiology and Cardiovascular Medicine 220
  • Pulmonary and Respiratory Medicine 259
  • Surgery 338
  • Health Informatics 8
Replace Neil Patel with:
Neil Patel United States
Jennifer Nadal Germany
James R. Stubbs United States
Juan Cosı́n-Sales Spain
Irfan Ahmad India
Alice Blet France
Eleni Korompoki Greece
Sterling T. Bennett United States
María Luaces Spain
Barbara A. Cockrill United States
Devyani Chowdhury relative to Neil Patel United States Neil Patel's profile →
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Citations per year

Countries citing papers authored by Devyani Chowdhury

Since Specialization
Citations

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

Fields of papers citing papers by Devyani Chowdhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Infliximab as a novel therapy for refractory Kawasaki disease.
2004106
2 202082
3 200673
4 200168
5 201960
6 202048
7 202042
8 200536
9 199931
10 201728
11 200826
12 202126
13 200825
14 202022
15 202119
16
Antifertility effect of Piper betle Linn. extract on ovary and testis of albino rats.
198919
17 202113
18 200811
19 200310
20 20189

About Devyani Chowdhury

Devyani Chowdhury is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Pulmonary and Respiratory Medicine, Surgery and Pediatrics, Perinatology and Child Health, having authored 63 papers that have together received 901 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (20 papers), Mechanical Circulatory Support Devices (6 papers), Kawasaki Disease and Coronary Complications (5 papers), Gestational Diabetes Research and Management (5 papers), Coronary Artery Anomalies (5 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiac Valve Diseases and Treatments (5 papers) and Healthcare Policy and Management (4 papers). The work is most often cited by research in Obstetrics and Gynecology (82 citations), Cardiology and Cardiovascular Medicine (220 citations), Pulmonary and Respiratory Medicine (259 citations), Surgery (338 citations) and Health Informatics (8 citations). Devyani Chowdhury has collaborated with scholars based in United States, Pakistan and Spain. Frequent co-authors include Vincent Parnell, Kaie Ojamaa, B. Anne Eberhard, Beth S. Gottlieb, Jennifer E. Weiss, Babar Hasan, Zahra Hoodbhoy, Savita Pahwa, Irwin Klein and Cristina Sison. Their work appears in journals such as Journal of the American Heart Association, PEDIATRICS, Circulation, Congenital Heart Disease and BMJ Open.

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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