Kevan Shah

912 citations
7 papers · 546 indexed · 1 hit paper · h-index 7

Impact in

  • Biophysics top 1%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
    • Image Processing Techniques and Applications

Papers in

Kevan Shah

7 papers receiving 537 citations

Hit Papers

In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images 2018 · 394 citations
3942018202620202023100200300

Peers

Kevan Shah
Comparison fields: 5 of 92
  • Biophysics 264
  • Media Technology 98
  • Structural Biology 8
  • Health Informatics 6
  • Biomedical Engineering 183
Replace Joe Chalfoun with:
Joe Chalfoun United States
Oliver Hilsenbeck Switzerland
Nico Scherf Germany
Thomas Blasi Germany
Linpeng Wei United States
Chengbo Yin United States
Martin Maška Czechia
Estibaliz Gómez‐de‐Mariscal Portugal
Chenfei Hu United States
Brian Loranger United Kingdom
Kevan Shah relative to Joe Chalfoun United States Joe Chalfoun's profile →
Citations per field
00.5×1.5×
Joe Chalfoun · 1×
Citations per year

Countries citing papers authored by Kevan Shah

Since Specialization
Citations

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

Fields of papers citing papers by Kevan Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 202117
2 202112
3
In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images
Hit paper breakdown →
2018394
4 201612
5 20106
6 200962
7 200943

About Kevan Shah

Kevan Shah is a scholar working on Biophysics, Hepatology, Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 546 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), 3D Printing in Biomedical Research (3 papers), CRISPR and Genetic Engineering (3 papers), Cell Image Analysis Techniques (2 papers), Pancreatic function and diabetes (1 paper), Bacillus and Francisella bacterial research (1 paper), Mitochondrial Function and Pathology (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Biophysics (264 citations), Media Technology (98 citations), Structural Biology (8 citations), Health Informatics (6 citations) and Biomedical Engineering (183 citations). Kevan Shah has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Ashkan Javaherian, Steven Finkbeiner, Lee L. Rubin, Marc Berndl, D. Michael Ando, Samuel Yang, Alison O’Neil, Eric Christiansen, Philip Nelson and Piyush Goyal. Their work appears in journals such as Science Advances, Current Molecular Medicine, Stem Cells and Development, Cell and Nature Communications.

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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