Amit Banerjee

1.6k citations
114 papers · 1.2k · h-index 16

Impact in

Papers in

Amit Banerjee

101 papers receiving 1.1k citations

Peers

Amit Banerjee
Comparison fields: 5 of 126
  • Anesthesiology and Pain Medicine 85
  • Cardiology and Cardiovascular Medicine 159
  • Structural Biology 11
  • Surgery 228
  • Neurology 76
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Charlotte Bell United States
Kenji Kodama Japan
William C. Culp United States
André Constantinesco France
G. Wiesinger Austria
Bhajan Singh India
Oliver Haase Germany
John Eugene United States
Emma M.L. Chung United Kingdom
Cheung Soo Shin South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Amit Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Amit Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018270
2 198898
3 199870
4 201142
5 200941
6 200335
7 201032
8 201430
9 200928
10 201227
11 200925
12 199622
13 201119
14 200818
15 198817
16 201017
17 201715
18 200912
19 201312
20 200511

About Amit Banerjee

Amit Banerjee is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 114 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (18 papers), Mechanical and Optical Resonators (10 papers), Cardiac tumors and thrombi (8 papers), Infective Endocarditis Diagnosis and Management (7 papers), Force Microscopy Techniques and Applications (7 papers), Cardiac Structural Anomalies and Repair (7 papers), Cardiac Arrhythmias and Treatments (6 papers) and Advanced Memory and Neural Computing (5 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (85 citations), Cardiology and Cardiovascular Medicine (159 citations), Structural Biology (11 citations), Surgery (228 citations) and Neurology (76 citations). Amit Banerjee has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Yang Lü, Jian Lü, Ming Dao, Daniel Bernoulli, Wenjun Zhang, Jichen Dong, Jiabin Liu, Feng Ding, Hongti Zhang and Muk‐Fung Yuen. Their work appears in journals such as Journal of Cardiothoracic and Vascular Anesthesia, Journal of Applied Physics, Japanese Journal of Applied Physics, Nanotechnology and AIP Advances.

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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