Tejas Mehta

493 citations
29 papers · 300 · h-index 9

Impact in

Papers in

    • Long-Term Effects of COVID-19 2
    • Botulinum Toxin and Related Neurological Disorders 2
    • Amyotrophic Lateral Sclerosis Research 2
    • Cardiac Structural Anomalies and Repair 2

Tejas Mehta

23 papers receiving 292 citations

Peers

Tejas Mehta
Comparison fields: 5 of 80
  • Internal Medicine 40
  • Psychiatry and Mental health 73
  • Neurology 62
  • Cognitive Neuroscience 51
  • Pulmonary and Respiratory Medicine 64
Replace Jun Takeshita with:
Jun Takeshita Japan
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Keith Dombrowski United States
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Tejas Mehta relative to Jun Takeshita Japan Jun Takeshita's profile →
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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200259
2 201949
3 202128
4
Current Trends in Biomarkers for Traumatic Brain Injury.
202026
5 202022
6 200220
7 201719
8 201817
9 202017
10 20208
11 20077
12 20144
13 20193
14 20213
15 20193
16 20223
17 20173
18 20212
19 20172
20 20222

About Tejas Mehta

Tejas Mehta is a scholar working on Neurology, Surgery, Cellular and Molecular Neuroscience, Physiology and Psychiatry and Mental health, having authored 29 papers that have together received 300 indexed citations. Recurring topics across this work include Attention Deficit Hyperactivity Disorder (5 papers), Mechanical Circulatory Support Devices (3 papers), Long-Term Effects of COVID-19 (2 papers), Hereditary Neurological Disorders (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Cardiac Structural Anomalies and Repair (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Internal Medicine (40 citations), Psychiatry and Mental health (73 citations), Neurology (62 citations), Cognitive Neuroscience (51 citations) and Pulmonary and Respiratory Medicine (64 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, Kenneth Rosenfield, Charles F. Botti, Steven Ramee, Barry S. George, Gary M. Ansel, Thomas McNamara and J. Stephen Jenkins. Their work appears in journals such as Neurology, Journal of Endovascular Therapy, Clinical Infectious Diseases, Computational Linguistics 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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