D.S. Chadha

1.8k citations
43 papers · 561 · h-index 11

Impact in

Papers in

D.S. Chadha

39 papers receiving 542 citations

Peers

D.S. Chadha
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 128
  • Physiology 163
  • Cardiology and Cardiovascular Medicine 123
  • Epidemiology 149
  • Pulmonary and Respiratory Medicine 107
Replace Angélica Domínguez with:
Angélica Domínguez Chile
Young Suk Shim South Korea
Maria Rita Spreghini Italy
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Kuller Lh United States
Citrawati Dyah Kencono Wungu Indonesia
Akiko Ohshima Japan
Arthur Isnani Saudi Arabia
Pamela Aidelsburger Germany
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Citations per field
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Citations per year

Countries citing papers authored by D.S. Chadha

Since Specialization
Citations

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

Fields of papers citing papers by D.S. Chadha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.S. Chadha. 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 D.S. Chadha. The network helps show where D.S. Chadha may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201193
2 199888
3 201482
4 201359
5
Seizures in patients with human immunodeficiency virus infection.
200037
6
Diabetes Technology & Therapeutics
201127
7 201023
8 200919
9
WPW and preexcitation syndromes.
200718
10 201413
11
Screening coronary angiography prior to surgery in rheumatic valvular heart disease: a study of 2,188 patients.
200911
12 201310
13 20158
14 20097
15 20076
16 20166
17 20205
18 20105
19 20165
20 20134

About D.S. Chadha

D.S. Chadha is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 561 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (5 papers), Cardiovascular Effects of Exercise (5 papers), Coronary Interventions and Diagnostics (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Acute Myocardial Infarction Research (4 papers), Cardiac Arrhythmias and Treatments (3 papers) and Tracheal and airway disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (128 citations), Physiology (163 citations), Cardiology and Cardiovascular Medicine (123 citations), Epidemiology (149 citations) and Pulmonary and Respiratory Medicine (107 citations). D.S. Chadha has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Priyanka Nigam, Anoop Misra, K. Parameswaran, A.J. Hildreth, N. P. Keaney, Ian Taylor, Qadar Pasha, Surya P. Bhatt, Surya Prakash Bhatt and Andrew P. Hills. Their work appears in journals such as Diabetes Technology & Therapeutics, Scientific Reports, Frontiers in Cardiovascular Medicine, Journal of Hypertension and The Journal of Laryngology & Otology.

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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