Mohammad Hayat Bhat

62 total papers · 496 total citations
35 papers, 345 citations indexed

About

Mohammad Hayat Bhat is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, Mohammad Hayat Bhat has authored 35 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Surgery and 7 papers in Epidemiology. Recurrent topics in Mohammad Hayat Bhat's work include Growth Hormone and Insulin-like Growth Factors (7 papers), Pituitary Gland Disorders and Treatments (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). Mohammad Hayat Bhat is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (7 papers), Pituitary Gland Disorders and Treatments (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). Mohammad Hayat Bhat collaborates with scholars based in India and Saudi Arabia. Mohammad Hayat Bhat's co-authors include Bashir Ahmad Laway, Shariq Rashid Masoodi, Abdul Hamid Zargar, Arshad Iqbal Wani, Mir Iftikhar Bashir, M I Sheikh, Farooq Ahmad Dar, Pinaki Dutta, K. Nalini and Anil Bhansali and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Fertility and Sterility.

In The Last Decade

Mohammad Hayat Bhat

31 papers receiving 320 citations

Author Peers

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

Author						Papers	Cites
Mohammad Hayat Bhat	143	131	118	44	36	35	345
Natasha Garfield	225 1.6×	88 0.7×	194 1.6×	45 1.0×	38 1.1×	25	403
Shuai Yang	96 0.7×	78 0.6×	75 0.6×	20 0.5×	59 1.6×	25	346
Sergio Donnay	127 0.9×	157 1.2×	55 0.5×	21 0.5×	40 1.1×	29	322
Süheyla Görar	107 0.7×	65 0.5×	49 0.4×	41 0.9×	52 1.4×	26	322
Patrik Šimják	51 0.4×	139 1.1×	70 0.6×	57 1.3×	45 1.3×	34	314
Paola Galoppi	84 0.6×	69 0.5×	46 0.4×	43 1.0×	32 0.9×	42	342
Rita Bettencourt‐Silva	127 0.9×	87 0.7×	208 1.8×	31 0.7×	27 0.8×	21	401
Paweł Jan Stanirowski	57 0.4×	209 1.6×	136 1.2×	18 0.4×	50 1.4×	37	389
Muzaffer Temür	126 0.9×	91 0.7×	37 0.3×	41 0.9×	46 1.3×	46	396
Gönül Koç	80 0.6×	31 0.2×	99 0.8×	26 0.6×	18 0.5×	28	367

Countries citing papers authored by Mohammad Hayat Bhat

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Hayat Bhat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Hayat Bhat. 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 Mohammad Hayat Bhat. The network helps show where Mohammad Hayat Bhat may publish in the future.

Co-authorship network of co-authors of Mohammad Hayat Bhat

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Hayat Bhat. A scholar is included among the top collaborators of Mohammad Hayat Bhat 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 Mohammad Hayat Bhat. Mohammad Hayat Bhat 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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