Sunitha Vimalesvaran

956 citations
25 papers · 549 · h-index 12

Impact in

Papers in

    • Organ Transplantation Techniques and Outcomes 5
    • Pediatric Hepatobiliary Diseases and Treatments 4
    • Surgical Simulation and Training 3
    • Liver Disease Diagnosis and Treatment 5

Sunitha Vimalesvaran

22 papers receiving 541 citations

Peers

Sunitha Vimalesvaran
Comparison fields: 5 of 96
  • Hepatology 94
  • Human-Computer Interaction 62
  • Reproductive Medicine 86
  • Health Informatics 12
  • General Dentistry 14
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Citations per field
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Citations per year

Countries citing papers authored by Sunitha Vimalesvaran

Since Specialization
Citations

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

Fields of papers citing papers by Sunitha Vimalesvaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021120
2 2012114
3 201750
4 201941
5 202240
6 202138
7 201435
8 202220
9 202117
10 202115
11 201615
12 202213
13 20128
14 20237
15 20244
16 20223
17 20232
18 20132
19 20231
20 20251

About Sunitha Vimalesvaran

Sunitha Vimalesvaran is a scholar working on Surgery, Epidemiology, Pulmonary and Respiratory Medicine, Hepatology and Infectious Diseases, having authored 25 papers that have together received 549 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Organ Transplantation Techniques and Outcomes (5 papers), Liver Disease and Transplantation (4 papers), Pediatric Hepatobiliary Diseases and Treatments (4 papers), Simulation-Based Education in Healthcare (3 papers), Surgical Simulation and Training (3 papers), Ovarian function and disorders (3 papers) and Anatomy and Medical Technology (2 papers). The work is most often cited by research in Hepatology (94 citations), Human-Computer Interaction (62 citations), Reproductive Medicine (86 citations), Health Informatics (12 citations) and General Dentistry (14 citations). Sunitha Vimalesvaran has collaborated with scholars based in United Kingdom, Singapore and United States. Frequent co-authors include Anil Dhawan, Lorainne Tudor Car, Emer Fitzpatrick, Alberto Quaglia, Maria Sole Basso, Sreenivasulu Reddy Mogali, Bhone Myint Kyaw, Anita Verma, Thomas Krasemann and Ali Abbara. Their work appears in journals such as Pediatric Transplantation, BMJ Open, Journal of Hepatology, Hepatology International and JMIR Serious Games.

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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