Mohammad Ghatei

40 papers receiving 1.4k citations

Peers

Mohammad Ghatei
Comparison fields: 5 of 80
  • Endocrine and Autonomic Systems 539
  • Cellular and Molecular Neuroscience 433
  • Reproductive Medicine 187
  • Pharmacology 274
  • Endocrinology, Diabetes and Metabolism 214
Replace B Baranowska with:
B Baranowska Poland
J.K. Chang United States
Didier Bagnol United States
Liying Fu United States
Kyriaki Gerozissis France
Guibao Gu United States
Jennifer E. Richard Sweden
Christa M. Patterson United States
Joan Y. Summy‐Long United States
Ellen E. Ladenheim United States
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Ghatei

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ghatei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammad Ghatei, 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 Mohammad Ghatei Line = papers co-authored together Mohammad Ghatei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002271
2 1998163
3 2000142
4 2006109
5 199172
6 198566
7 199162
8 200158
9 201255
10 200354
11 199840
12 200337
13 199726
14 201126
15 200725
16 199522
17 201120
18 201218
19 201718
20 200717

About Mohammad Ghatei

Mohammad Ghatei is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Physiology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (14 papers), Neuropeptides and Animal Physiology (13 papers), Hypothalamic control of reproductive hormones (10 papers), Ovarian function and disorders (6 papers), Diabetes Treatment and Management (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Sleep and Wakefulness Research (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (539 citations), Cellular and Molecular Neuroscience (433 citations), Reproductive Medicine (187 citations), Pharmacology (274 citations) and Endocrinology, Diabetes and Metabolism (214 citations). Mohammad Ghatei has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Stephen R. Bloom, Shahrad Taheri, C. L. Dakin, Kevin G. Murphy, Waljit S. Dhillo, James Gardiner, Mark A. Cohen, A Sajedi, Adam Kennedy and Leighton Seal. Their work appears in journals such as Regulatory Peptides, Endocrinology, Proceedings of The Nutrition Society, Obesity and Neuroreport.

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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