Amit Mehta

31 total papers · 925 total citations
18 papers, 664 citations indexed

About

Amit Mehta is a scholar working on Oncology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Amit Mehta has authored 18 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Molecular Biology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Amit Mehta's work include Thyroid Cancer Diagnosis and Treatment (4 papers), Pituitary Gland Disorders and Treatments (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Amit Mehta is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (4 papers), Pituitary Gland Disorders and Treatments (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Amit Mehta collaborates with scholars based in United States, Czechia and India. Amit Mehta's co-authors include Grace L. Lu‐Yao, Yu‐Hsuan Joni Shao, Calpurnyia B. Roberts, Mark N. Stein, Robert S. DiPaola, Electron Kebebew, Weichung Joe Shih, Kitaw Demissie, Myriem Boufraqech and Naris Nilubol and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Amit Mehta

18 papers receiving 650 citations

Author Peers

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

Author Last Decade Papers Cites
Amit Mehta 299 196 184 126 114 18 664
Stefano Battaglia 272 0.9× 260 1.3× 121 0.7× 87 0.7× 122 1.1× 18 594
Maria Merino 136 0.5× 208 1.1× 243 1.3× 199 1.6× 152 1.3× 12 590
Edem Agamah 147 0.5× 149 0.8× 171 0.9× 101 0.8× 118 1.0× 16 553
F. E. Neal 136 0.5× 118 0.6× 267 1.5× 132 1.0× 77 0.7× 21 672
Christopher Cheng 458 1.5× 222 1.1× 102 0.6× 111 0.9× 106 0.9× 36 659
Elie Antebi 465 1.6× 262 1.3× 99 0.5× 159 1.3× 81 0.7× 23 696
Veronica Papavero 189 0.6× 169 0.9× 159 0.9× 201 1.6× 95 0.8× 12 582
Peter Choyke 133 0.4× 271 1.4× 211 1.1× 206 1.6× 275 2.4× 20 645
C.A. Hoefnagel 158 0.5× 130 0.7× 147 0.8× 170 1.3× 201 1.8× 35 751
Yulia Strenov 74 0.2× 150 0.8× 192 1.0× 141 1.1× 126 1.1× 19 616

Countries citing papers authored by Amit Mehta

Since Specialization
Citations

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

Fields of papers citing papers by Amit Mehta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Mehta

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