S. Vaidya

25 papers receiving 331 citations

Peers

S. Vaidya
Comparison fields: 5 of 70
  • Transplantation 21
  • Immunology and Allergy 45
  • Cardiology and Cardiovascular Medicine 118
  • Nephrology 25
  • Immunology 71
Replace Ángel Robles‐Marhuenda with:
Ángel Robles‐Marhuenda Spain
Susana Sampaio Portugal
Paola Piccolo Italy
M Nagase Japan
J López-Pedret Spain
D. Morel France
C. Ross United Kingdom
Rommel Sagana United States
Daniela Libertucci Italy
Gérard Champion France
S. Vaidya relative to Ángel Robles‐Marhuenda Spain Ángel Robles‐Marhuenda's profile →
Citations per field
00.5×7.5×
Ángel Robles‐Marhuenda · 1×
Citations per year

Countries citing papers authored by S. Vaidya

Since Specialization
Citations

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

Fields of papers citing papers by S. Vaidya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009101
2 201758
3 199531
4 201728
5 199022
6 201714
7 201712
8 199911
9 200111
10 20179
11 20186
12 20056
13 20015
14 20055
15 20024
16 20173
17 20163
18
Chronic Renal Failure (Nursing)
20213
19
Chronic Renal Failure
20192
20 19862

About S. Vaidya

S. Vaidya is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology, Surgery, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 342 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (5 papers), Systemic Lupus Erythematosus Research (5 papers), Cardiac Imaging and Diagnostics (4 papers), Infective Endocarditis Diagnosis and Management (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Coronary Interventions and Diagnostics (3 papers), Acute Myocardial Infarction Research (3 papers) and Cardiac Valve Diseases and Treatments (3 papers). The work is most often cited by research in Transplantation (21 citations), Immunology and Allergy (45 citations), Cardiology and Cardiovascular Medicine (118 citations), Nephrology (25 citations) and Immunology (71 citations). S. Vaidya has collaborated with scholars based in United States and India. Frequent co-authors include Sameer Arora, Amol Bahekar, Sonu Gupta, Gary R. Klimpel, S.L. Abramson, David B. Corry, George L. Delclos, Sumanth Polikepahad, Farrah Kheradmand and Attila Kiss. Their work appears in journals such as Coronary Artery Disease, Medicine, Infection and Immunity, Journal of Allergy and Clinical Immunology and Clinical Transplantation.

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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