Samad Hedayat

766 citations
13 papers · 665 · h-index 10

Impact in

Papers in

Samad Hedayat

13 papers receiving 625 citations

Peers

Samad Hedayat
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 255
  • Pathology and Forensic Medicine 132
  • Nutrition and Dietetics 117
  • Transplantation 17
  • Discrete Mathematics and Combinatorics 20
Replace Anik Girard-Globa with:
Anik Girard-Globa France
T. T. Nguyen United States
Eero Helve Finland
Aylin Sepici Türkiye
Mong-Heng Wang United States
Marı́a Cristina Carrillo Argentina
Hiroko Tomoyori Japan
Ziwei Wang United States
Juan Alberto Monti Argentina
Ankit Pravin Laddha India
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Citations per field
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Anik Girard-Globa · 1×
Citations per year

Countries citing papers authored by Samad Hedayat

Since Specialization
Citations

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

Fields of papers citing papers by Samad Hedayat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2009149
2 2006124
3 200582
4 200270
5 200661
6 200454
7 200734
8 201033
9 200928
10 199618
11 19977
12 20064
13 20091

About Samad Hedayat

Samad Hedayat is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Transplantation, Cardiology and Cardiovascular Medicine and Management of Technology and Innovation, having authored 13 papers that have together received 665 indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Lipid metabolism and disorders (2 papers), Estrogen and related hormone effects (2 papers), Phytoestrogen effects and research (2 papers), Pancreatic function and diabetes (1 paper), Renal Transplantation Outcomes and Treatments (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (255 citations), Pathology and Forensic Medicine (132 citations), Nutrition and Dietetics (117 citations), Transplantation (17 citations) and Discrete Mathematics and Combinatorics (20 citations). Samad Hedayat has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Steven M. Swanson, Gail S. Prins, Vera Ray, Konstantin T. Christov, Judy L. Bolton, Richard Bruce van Breemen, Norman R. Farnsworth, Terry G. Unterman, Veda Diwadkar‐Navsariwala and Alan Mark Diamond. Their work appears in journals such as Endocrinology, Proceedings of the National Academy of Sciences, Menopause The Journal of The North American Menopause Society, Discrete Mathematics and Carcinogenesis.

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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