Jamshid Kermanchi

553 citations
11 papers · 359 · h-index 8

Impact in

Papers in

Jamshid Kermanchi

11 papers receiving 358 citations

Peers

Jamshid Kermanchi
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 184
  • Family Practice 8
  • Pathology and Forensic Medicine 55
  • Epidemiology 87
  • Clinical Biochemistry 13
Replace Fatemeh Ghaemi with:
Fatemeh Ghaemi Iran
Thaddäus Tönnies Germany
Zahid Naeem Pakistan
Rowan Hillson United Kingdom
Selda Gedik Türkiye
Cihangir Özcan Türkiye
Sang Ah Chang South Korea
Ahmet M. Şengül Türkiye
Santiago Domínguez Coello Spain
Abdulghani Al Saeed Saudi Arabia
Jamshid Kermanchi relative to Fatemeh Ghaemi Iran Fatemeh Ghaemi's profile →
Citations per field
00.5×4.2×
Fatemeh Ghaemi · 1×
Citations per year

Countries citing papers authored by Jamshid Kermanchi

Since Specialization
Citations

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

Fields of papers citing papers by Jamshid Kermanchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2017208
2 202134
3 201926
4 202221
5 201920
6 201919
7 202110
8 20219
9
Evaluation of an urban phase of the specialized care program for diabetes in iran: providers' perspectives.
20147
10
Estimation of Parkinson's Disease Prevalence and Its Geographical Variation in Iran
20213
11 20202

About Jamshid Kermanchi

Jamshid Kermanchi is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Rheumatology, Neurology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 359 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diabetes Management and Education (3 papers), Multiple Sclerosis Research Studies (3 papers), Diabetes Management and Research (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Diabetes Treatment and Management (2 papers), Diet, Metabolism, and Disease (1 paper) and Heart Failure Treatment and Management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (184 citations), Family Practice (8 citations), Pathology and Forensic Medicine (55 citations), Epidemiology (87 citations) and Clinical Biochemistry (13 citations). Jamshid Kermanchi has collaborated with scholars based in Iran, United States and China. Frequent co-authors include Alireza Esteghamati, Fatemeh Ghaemi, Faramarz Ismail‐Beigi, Mohsen Afarideh, Jeffrey I. Mechanick, Mohammad Haji Aghajani, Behnam Heidari, Elias Khajeh, Bagher Larijani and Ensieh Nasli‐Esfahani. Their work appears in journals such as Primary care diabetes, Multiple Sclerosis and Related Disorders, Scientific Reports, BMC Neurology and Nutrition Journal.

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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