Punit Shah
Impact in
- Cognitive Neuroscience top 1%
- Autism Spectrum Disorder Research
- Face Recognition and Perception
- Orthodontics top 2%
Papers in
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- Autism Spectrum Disorder Research 36
- Face Recognition and Perception 13
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- Glycosylation and Glycoproteins Research 23
- Co-authors
- Geoffrey Bird (14 shared papers)Lucy A. Livingston (30 shared papers)Hui Zhang (30 shared papers)Richard Cook (7 shared papers)D.W. Bartlett (1 shared paper)Francesca Happé (6 shared papers)Caroline Catmur (5 shared papers)Weiming Yang (12 shared papers)
- Journals
- Analytical Chemistry (12 papers)Scientific Reports (8 papers)Clinical Proteomics (6 papers)PROTEOMICS (6 papers)Cortex (5 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Punit Shah
123 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 176
- Cognitive Neuroscience 1.4k
- Orthodontics 205
- Spectroscopy 658
- Psychiatry and Mental health 429
- Clinical Psychology 626
Countries citing papers authored by Punit Shah
This map shows the geographic impact of Punit 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 Punit Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Punit Shah more than expected).
Fields of papers citing papers by Punit Shah
This network shows the impact of papers produced by Punit 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 Punit Shah. The network helps show where Punit Shah may publish in the future.
Co-authors
The 25 scholars most cited alongside Punit Shah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 266 | |
| 2 | 2006 | 247 | |
| 3 | 2016 | 226 | |
| 4 | 2019 | 203 | |
| 5 | 2015 | 184 | |
| 6 | 2015 | 153 | |
| 7 | 2015 | 144 | |
| 8 | 2010 | 125 | |
| 9 | 2015 | 109 | |
| 10 | 2020 | 104 | |
| 11 | 2017 | 96 | |
| 12 | 2009 | 88 | |
| 13 | 2016 | 81 | |
| 14 | 2015 | 79 | |
| 15 | 2019 | 75 | |
| 16 | 2013 | 72 | |
| 17 | 2014 | 71 | |
| 18 | 2013 | 66 | |
| 19 | 2012 | 65 | |
| 20 | 2017 | 65 |
About Punit Shah
Punit Shah is a scholar working on Cognitive Neuroscience, Molecular Biology, Clinical Psychology, Spectroscopy and Experimental and Cognitive Psychology, having authored 127 papers that have together received 4.5k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (36 papers), Glycosylation and Glycoproteins Research (23 papers), Advanced Proteomics Techniques and Applications (14 papers), Face Recognition and Perception (13 papers), Obsessive-Compulsive Spectrum Disorders (12 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Carbohydrate Chemistry and Synthesis (7 papers) and Attention Deficit Hyperactivity Disorder (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Orthodontics (205 citations), Spectroscopy (658 citations), Psychiatry and Mental health (429 citations) and Clinical Psychology (626 citations). Punit Shah has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Geoffrey Bird, Lucy A. Livingston, Hui Zhang, Richard Cook, D.W. Bartlett, Francesca Happé, Caroline Catmur, Weiming Yang, Shadi Toghi Eshghi and Shisheng Sun. Their work appears in journals such as Analytical Chemistry, Scientific Reports, Clinical Proteomics, PROTEOMICS and Cortex.
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.