Iraj Ghadiminejad

559 citations
20 papers · 417 indexed · h-index 11

Iraj Ghadiminejad

19 papers receiving 405 citations

Peers

Iraj Ghadiminejad
Comparison fields: 5 of 63
  • Clinical Biochemistry 167
  • Hepatology 47
  • Molecular Biology 284
  • Epidemiology 109
  • Virology 9
Replace K. C. Chadha with:
K. C. Chadha United States
Kazuhiro Tomita Japan
Ariel Basulto Perdomo Italy
Young‐Suk Yoo South Korea
Shrabani Basu United States
Xiao-Sheng Jiang United States
Corey N. Cunningham United States
Kai Yasukawa Japan
Katharina Roß Germany
Ian Logan United Kingdom
Iraj Ghadiminejad relative to K. C. Chadha United States K. C. Chadha's profile →
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Citations per year

Countries citing papers authored by Iraj Ghadiminejad

Since Specialization
Citations

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

Fields of papers citing papers by Iraj Ghadiminejad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Iraj Ghadiminejad, 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 Iraj Ghadiminejad Line = papers co-authored together Iraj Ghadiminejad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200051
2 199511
3 19926
4 199244
5 19925
6 19912
7 199120
8 199115
9 199021
10 199028
11 19892
12 198813
13 19880
14 198710
15 198722
16 19871
17 1987156
18 19863
19 19853
20 19854

About Iraj Ghadiminejad

Iraj Ghadiminejad is a scholar working on Clinical Biochemistry, Hepatology, Epidemiology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 417 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Metabolism and Genetic Disorders (10 papers), Mitochondrial Function and Pathology (9 papers), Liver Diseases and Immunity (6 papers), Liver Disease and Transplantation (3 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers). The work is most often cited by research in Clinical Biochemistry (167 citations), Hepatology (47 citations), Molecular Biology (284 citations), Epidemiology (109 citations) and Virology (9 citations). Iraj Ghadiminejad has collaborated with scholars based in United Kingdom, Australia and Italy. Frequent co-authors include David Saggerson, E D Saggerson, Harold Baum, Muhammad Uzair Awan, Martine Denis, H. Dunckley, Zorka Mikloška, Anthony L. Cunningham, H. Baum and E Pisi. Their work appears in journals such as Biochemical Society Transactions, FEBS Letters, Biochemical Journal, Journal of Bioenergetics and Biomembranes and Bioscience Reports.

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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