Manish Gutch

140 total papers · 1.7k total citations
92 papers, 1.2k citations indexed

About

Manish Gutch is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, Manish Gutch has authored 92 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Endocrinology, Diabetes and Metabolism, 17 papers in Molecular Biology and 16 papers in Genetics. Recurrent topics in Manish Gutch's work include Thyroid Disorders and Treatments (10 papers), Diabetes and associated disorders (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). Manish Gutch is often cited by papers focused on Thyroid Disorders and Treatments (10 papers), Diabetes and associated disorders (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). Manish Gutch collaborates with scholars based in India, United States and United Kingdom. Manish Gutch's co-authors include Sukriti Kumar, Syed Mohd Razi, Abhinav Gupta, Kumar Gupta, Nirdesh Jain, Sanjay Saran, Avinash Agarwal, Arvind Kumar Vaish, Avinash Kumar Ágarwal and Atul Kumar Pandey and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Radiology and Emergency Medicine Journal.

In The Last Decade

Manish Gutch

85 papers receiving 1.1k citations

Hit Papers

Assessment of insulin sen... 2014 2026 2018 2022 2014 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Manish Gutch 440 195 195 181 176 92 1.2k
Valentina Guarnotta 587 1.3× 162 0.8× 254 1.3× 164 0.9× 217 1.2× 81 1.2k
Silvia Ippolito 436 1.0× 273 1.4× 166 0.9× 103 0.6× 161 0.9× 57 1.3k
Ji Sung Yoon 291 0.7× 280 1.4× 163 0.8× 212 1.2× 217 1.2× 69 1.2k
Theocharis Koufakis 499 1.1× 267 1.4× 164 0.8× 319 1.8× 266 1.5× 155 1.3k
Corin Badiu 315 0.7× 219 1.1× 180 0.9× 99 0.5× 192 1.1× 83 1.3k
Ebaa Al‐Ozairi 384 0.9× 140 0.7× 234 1.2× 275 1.5× 172 1.0× 94 1.2k
A. Collier 431 1.0× 167 0.9× 164 0.8× 177 1.0× 175 1.0× 49 1.2k
Beata Pyrżak 326 0.7× 168 0.9× 287 1.5× 296 1.6× 124 0.7× 89 1.1k
Neeraj Agrawal 296 0.7× 320 1.6× 178 0.9× 99 0.5× 150 0.9× 104 1.3k
Mala Dharmalingam 625 1.4× 181 0.9× 226 1.2× 146 0.8× 224 1.3× 83 1.1k

Countries citing papers authored by Manish Gutch

Since Specialization
Citations

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

Fields of papers citing papers by Manish Gutch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Gutch

This figure shows the co-authorship network connecting the top 25 collaborators of Manish Gutch. A scholar is included among the top collaborators of Manish Gutch 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 Manish Gutch. Manish Gutch 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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