Reza Hakkak

1.9k citations
88 papers · 1.5k indexed · h-index 23
Topics
Liver Disease Diagnosis and Treatment (25 papers)Diet and metabolism studies (22 papers)Phytoestrogen effects and research (22 papers)
Partner nations
United StatesSwedenChina

In The Last Decade

Reza Hakkak

83 papers receiving 1.5k citations

Peers

Reza Hakkak
Comparison fields: 5 of 108
  • Pathology and Forensic Medicine 597
  • Molecular Biology 427
  • Epidemiology 390
  • Physiology 325
  • Endocrinology, Diabetes and Metabolism 303
Replace Halina Cichoż‐Lach with:
Halina Cichoż‐Lach Poland
William J. Banz United States
Yang Song China
Li Tang United States
J. Bernadette Moore United Kingdom
Schohraya Spahis Canada
Zhanxiang Zhou United States
Bing Chang China
Kimberly F. Allred United States
Oddrun Anita Gudbrandsen Norway
Reza Hakkak relative to Halina Cichoż‐Lach Poland Halina Cichoż‐Lach's profile →
Citations per field
00.5×
Halina Cichoż‐Lach · 1×
Citations per year

Countries citing papers authored by Reza Hakkak

Since Specialization
Citations

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

Fields of papers citing papers by Reza Hakkak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reza Hakkak

This figure shows the co-authorship network connecting the top 25 collaborators of Reza Hakkak. A scholar is included among the top collaborators of Reza Hakkak 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 Reza Hakkak. Reza Hakkak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 1
4 4
5 2
6 2
7 59
8 2
9 13
10 19
11 2
12 5
13 58
14 27
15 2
16 1
17 74
18 33
19 17
20 24

About Reza Hakkak

Reza Hakkak is a scholar working on Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (25 papers), Diet and metabolism studies (22 papers) and Phytoestrogen effects and research (22 papers). The work is most often cited by research in Pathology and Forensic Medicine (597 citations), Endocrinology, Diabetes and Metabolism (303 citations) and Pharmacology (138 citations). Reza Hakkak has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Thomas M. Badger, Martin J. J. Ronis, Soheila Korourian, J. Craig Rowlands, Magnus Ingelman‐Sundberg, Susan R. Shelnutt, Huawei Zeng, Andrea Bell, Wen‐Hsing Cheng and Chan-Hee Jo. Their work appears in journals such as Gastroenterology, PLoS ONE and The FASEB 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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