Amit Vaish

605 citations
23 papers · 477 · h-index 14

Impact in

Papers in

Amit Vaish

21 papers receiving 469 citations

Peers

Amit Vaish
Comparison fields: 5 of 56
  • Surfaces, Coatings and Films 37
  • Renewable Energy, Sustainability and the Environment 71
  • Molecular Medicine 19
  • Molecular Biology 206
  • Biomedical Engineering 127
Replace Eliza M. Warszawik with:
Eliza M. Warszawik Netherlands
Zhiyong Zhao China
Jian-Min Li China
Na Kong China
J.A. DuPont United States
Nicholas Clark United States
Christopher M. Earhart United States
Jean‐Noël Chazalviel France
Fengli Gao China
Amit Vaish relative to Eliza M. Warszawik Netherlands Eliza M. Warszawik's profile →
Citations per field
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Eliza M. Warszawik · 1×
Citations per year

Countries citing papers authored by Amit Vaish

Since Specialization
Citations

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

Fields of papers citing papers by Amit Vaish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010114
2 202373
3 200736
4 201032
5 200829
6 201126
7 201125
8 201519
9 201116
10 202115
11 201815
12 201114
13 201314
14 201813
15 201812
16 20149
17 20145
18 20205
19 20233
20 20241

About Amit Vaish

Amit Vaish is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Oncology, having authored 23 papers that have together received 477 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Molecular Junctions and Nanostructures (7 papers), Lipid Membrane Structure and Behavior (4 papers), Nanofabrication and Lithography Techniques (4 papers), Protein Degradation and Inhibitors (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Ubiquitin and proteasome pathways (2 papers) and Polymer Surface Interaction Studies (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (37 citations), Renewable Energy, Sustainability and the Environment (71 citations), Molecular Medicine (19 citations), Molecular Biology (206 citations) and Biomedical Engineering (127 citations). Amit Vaish has collaborated with scholars based in United States, India and Nepal. Frequent co-authors include Anne M. Andrews, Paul S. Weiss, James I. Basham, Gopal K. Mor, Oomman K. Varghese, Sanghoon Kim, Craig A. Grimes, Sorachon Yoriya, Maggie Paulose and Sarawut Cheunkar. Their work appears in journals such as Chemical Communications, Analytical Biochemistry, Cancer Research, Analytical Chemistry and European Polymer Journal.

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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