Arun Singhal

1.9k citations
55 papers · 1.4k indexed · h-index 21

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Surgery top 5%
    • Transplantation: Methods and Outcomes
    • Organ Transplantation Techniques and Outcomes

Papers in

Arun Singhal

54 papers receiving 1.4k citations

Peers

Arun Singhal
Comparison fields: 5 of 103
  • Transplantation 217
  • Surgery 560
  • Cancer Research 139
  • Biotechnology 79
  • Molecular Biology 517
Replace Salvador F. Aliño with:
Salvador F. Aliño Spain
Stephan Arni Switzerland
Dorothee Wernet Germany
Angela Holder United Kingdom
Tianshu Zhang United States
Y Iwaki United States
Parviz Lalezari United States
Akira Shimizu United States
Liudmila Kulik United States
Peter J. Dawson United States
Arun Singhal relative to Salvador F. Aliño Spain Salvador F. Aliño's profile →
Citations per field
00.5×2.8×
Salvador F. Aliño · 1×
Citations per year

Countries citing papers authored by Arun Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Arun Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999256
2 2010102
3 200587
4 200664
5 198959
6 200957
7 200455
8 200651
9 200949
10 198744
11 200540
12 199840
13 199940
14 200339
15 200837
16 198637
17 199334
18 200931
19 198430
20
Sleeve lobectomy: current indications and future directions.
201024

About Arun Singhal

Arun Singhal is a scholar working on Transplantation, Medical Laboratory Technology, Internal Medicine, Cardiology and Cardiovascular Medicine and Surgery, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (11 papers), Mechanical Circulatory Support Devices (9 papers), Renal Transplantation Outcomes and Treatments (8 papers), Cardiac Structural Anomalies and Repair (6 papers), Organ Transplantation Techniques and Outcomes (6 papers), Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (5 papers) and Lipid Membrane Structure and Behavior (5 papers). The work is most often cited by research in Transplantation (217 citations), Surgery (560 citations), Cancer Research (139 citations), Biotechnology (79 citations) and Molecular Biology (517 citations). Arun Singhal has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Chhitar M. Gupta, Carol A. Fisher, Paul Blezinger, Alain Rolland, Jijun Wang, Ajay Agrawal, Martha French, Robert Ralston, Min Wang and Margaret Gondo. Their work appears in journals such as The Journal of Heart and Lung Transplantation, FEBS Letters, The Annals of Thoracic Surgery, Human Gene Therapy and Biochemistry.

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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