Mihir Parmar

76 total papers · 1.1k total citations
33 papers, 585 citations indexed

About

Mihir Parmar is a scholar working on Pharmacology, Artificial Intelligence and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mihir Parmar has authored 33 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pharmacology, 9 papers in Artificial Intelligence and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mihir Parmar's work include Natural Antidiabetic Agents Studies (8 papers), Drug-Induced Hepatotoxicity and Protection (7 papers) and Topic Modeling (7 papers). Mihir Parmar is often cited by papers focused on Natural Antidiabetic Agents Studies (8 papers), Drug-Induced Hepatotoxicity and Protection (7 papers) and Topic Modeling (7 papers). Mihir Parmar collaborates with scholars based in Saudi Arabia, India and United States. Mihir Parmar's co-authors include Mohammed M. Ahmed, Hatem M. Abuohashish, Salim S. Al‐Rejaie, Mohammad Shamsul Ola, Abdulaziz M. Aleisa, Amal J. Fatani, Abdullah S. Alhomida, Khaled Alhosaini, Abdullah Alassaf and Chitta Baral and has published in prestigious journals such as The FASEB Journal, BMC Complementary and Alternative Medicine and Neurological Research.

In The Last Decade

Mihir Parmar

26 papers receiving 562 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mihir Parmar 154 117 101 88 86 33 585
Junping Wei 267 1.7× 172 1.5× 89 0.9× 94 1.1× 91 1.1× 29 677
Zahra Hajializadeh 106 0.7× 83 0.7× 57 0.6× 132 1.5× 61 0.7× 34 547
André Lopes Saraiva 204 1.3× 100 0.9× 51 0.5× 59 0.7× 100 1.2× 34 661
Masahito Tsubata 155 1.0× 80 0.7× 96 1.0× 77 0.9× 100 1.2× 28 519
Kehkashan Parveen 184 1.2× 128 1.1× 51 0.5× 165 1.9× 70 0.8× 29 681
Yuanda Zhou 235 1.5× 111 0.9× 61 0.6× 109 1.2× 80 0.9× 24 629
Prahalathan Pichavaram 274 1.8× 78 0.7× 63 0.6× 91 1.0× 86 1.0× 26 684
Xiong Lu 267 1.7× 67 0.6× 102 1.0× 94 1.1× 80 0.9× 34 664
Sun‐Young Kim 250 1.6× 106 0.9× 87 0.9× 83 0.9× 88 1.0× 31 673
B.P. Srinivasan 197 1.3× 216 1.8× 51 0.5× 62 0.7× 60 0.7× 29 677

Countries citing papers authored by Mihir Parmar

Since Specialization
Citations

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

Fields of papers citing papers by Mihir Parmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mihir Parmar

This figure shows the co-authorship network connecting the top 25 collaborators of Mihir Parmar. A scholar is included among the top collaborators of Mihir Parmar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mihir Parmar. Mihir Parmar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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