Tejas Mehta

561 citations
32 papers · 349 · h-index 11

Impact in

Papers in

    • Amyotrophic Lateral Sclerosis Research 2
    • Botulinum Toxin and Related Neurological Disorders 2

Tejas Mehta

27 papers receiving 338 citations

Peers

Tejas Mehta
Comparison fields: 5 of 83
  • Internal Medicine 21
  • Psychiatry and Mental health 70
  • Neurology 59
  • Cognitive Neuroscience 44
  • Surgery 74
Replace Keith Dombrowski with:
Keith Dombrowski United States
Marian Gómez-Beldarrain Spain
Mohammed Alhatou Qatar
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İpek Midi Türkiye
Zhuoming Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Tejas Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Tejas Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200259
2 201955
3 202128
4
Current Trends in Biomarkers for Traumatic Brain Injury.
202026
5 202022
6 200620
7 201720
8 200220
9 201818
10 202017
11 201414
12 20209
13 20077
14 20215
15 20144
16 20173
17 20193
18 20223
19 20193
20 20083

About Tejas Mehta

Tejas Mehta is a scholar working on Neurology, Surgery, Cellular and Molecular Neuroscience, Physiology and Psychiatry and Mental health, having authored 32 papers that have together received 349 indexed citations. Recurring topics across this work include Attention Deficit Hyperactivity Disorder (5 papers), Mechanical Circulatory Support Devices (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Streptococcal Infections and Treatments (2 papers), Natural Language Processing Techniques (2 papers), Autism Spectrum Disorder Research (2 papers), AI-based Problem Solving and Planning (2 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). The work is most often cited by research in Internal Medicine (21 citations), Psychiatry and Mental health (70 citations), Neurology (59 citations), Cognitive Neuroscience (44 citations) and Surgery (74 citations). Tejas Mehta has collaborated with scholars based in United States, Qatar and India. Frequent co-authors include Pradeep C. Bollu, Muniba Fayyaz, Niraj Arora, Thomas McNamara, Gary M. Ansel, Barry S. George, Steven Ramee, Charles F. Botti, Kenneth Rosenfield and J. Stephen Jenkins. Their work appears in journals such as Neurology, Journal of Endovascular Therapy, Clinical Neurology and Neurosurgery, International Journal of Infectious Diseases and Frontiers in Pediatrics.

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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