Devyani Chowdhury

59 papers receiving 928 citations

Peers

Devyani Chowdhury
Comparison fields: 5 of 101
  • Obstetrics and Gynecology 75
  • Cardiology and Cardiovascular Medicine 164
  • Surgery 302
  • Health Informatics 10
  • Endocrinology, Diabetes and Metabolism 99
Replace Ki Hoon Ahn with:
Ki Hoon Ahn South Korea
Adrija Hajra United States
Merel E. Hellemons Netherlands
Juan Cosı́n-Sales Spain
Eva Rodríguez Spain
Silvia Titan Brazil
Iziah E Sama Netherlands
Alessandro Rizzi Italy
Gaurav Kapur United States
Charalampos Chrelias Greece
Devyani Chowdhury relative to Ki Hoon Ahn South Korea Ki Hoon Ahn's profile →
Citations per field
00.5×4.6×
Ki Hoon Ahn · 1×
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 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Infliximab as a novel therapy for refractory Kawasaki disease.
2004112
2 202083
3 200678
4 200178
5 201967
6 202054
7 202042
8 200537
9 199937
10 201733
11 202128
12 200826
13 200826
14 202022
15 202121
16
Antifertility effect of Piper betle Linn. extract on ovary and testis of albino rats.
198920
17 202115
18 200811
19 200310
20 20189

About Devyani Chowdhury

Devyani Chowdhury is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Surgery, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 64 papers that have together received 971 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (14 papers), Mechanical Circulatory Support Devices (5 papers), Kawasaki Disease and Coronary Complications (5 papers), Coronary Artery Anomalies (5 papers), Neuroscience of respiration and sleep (4 papers), Cardiovascular Effects of Exercise (4 papers), Cardiac Valve Diseases and Treatments (4 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Obstetrics and Gynecology (75 citations), Cardiology and Cardiovascular Medicine (164 citations), Surgery (302 citations), Health Informatics (10 citations) and Endocrinology, Diabetes and Metabolism (99 citations). Devyani Chowdhury has collaborated with scholars based in United States, Pakistan and Spain. Frequent co-authors include Vincent Parnell, Kaie Ojamaa, Jennifer E. Weiss, B. Anne Eberhard, Beth S. Gottlieb, Babar Hasan, Zahra Hoodbhoy, Irwin Klein, Savita Pahwa and Cristina Sison. Their work appears in journals such as Circulation, PEDIATRICS, Journal of the American Heart Association, Congenital Heart Disease and Journal of Thoracic and Cardiovascular Surgery.

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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