Amara Sarwal

804 citations
30 papers · 532 · h-index 6

Impact in

Papers in

Amara Sarwal

23 papers receiving 521 citations

Peers

Amara Sarwal
Comparison fields: 5 of 86
  • Cognitive Neuroscience 247
  • Experimental and Cognitive Psychology 111
  • Computer Science Applications 28
  • Developmental and Educational Psychology 54
  • Oncology 95
Replace Daniel Stricker with:
Daniel Stricker Switzerland
Chenchen Zhang China
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Elizabeth Hart United States
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Amara Sarwal relative to Daniel Stricker Switzerland Daniel Stricker's profile →
Citations per field
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Citations per year

Countries citing papers authored by Amara Sarwal

Since Specialization
Citations

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

Fields of papers citing papers by Amara Sarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011309
2 2019131
3 201221
4 202113
5 202012
6 20198
7 20235
8 20205
9 20234
10 20203
11 20243
12 20233
13 20232
14 20252
15 20252
16 20252
17 20261
18 20211
19 20201
20 20251

About Amara Sarwal

Amara Sarwal is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases, Pulmonary and Respiratory Medicine, Nephrology and Pediatrics, Perinatology and Child Health, having authored 30 papers that have together received 532 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Electrolyte and hormonal disorders (3 papers), Metabolism and Genetic Disorders (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Pediatric Urology and Nephrology Studies (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), COVID-19 Clinical Research Studies (2 papers) and Renal function and acid-base balance (2 papers). The work is most often cited by research in Cognitive Neuroscience (247 citations), Experimental and Cognitive Psychology (111 citations), Computer Science Applications (28 citations), Developmental and Educational Psychology (54 citations) and Oncology (95 citations). Amara Sarwal has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Alan Kingstone, Evan F. Risko, Nicola Anderson, Megan J. Engelhardt, M. Hassan Murad, Halis Kaan Aktürk, Lilian Hoffecker, Aaron W. Michels, Michael D. Dodd and Nehad Shabarek. Their work appears in journals such as Nephrology Dialysis Transplantation, Diabetes Obesity and Metabolism, Journal of the American Society of Nephrology, Kidney International and JACC Heart Failure.

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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