Milad Rezvani

1.1k citations
17 papers · 803 indexed · h-index 8
Topics
Liver physiology and pathology (7 papers)Pancreatic function and diabetes (4 papers)Organ Transplantation Techniques and Outcomes (3 papers)

In The Last Decade

Milad Rezvani

14 papers receiving 798 citations

Peers

Milad Rezvani
Comparison fields: 5 of 71
  • Hepatology 431
  • Surgery 366
  • Molecular Biology 317
  • Epidemiology 173
  • Biomedical Engineering 103
Replace Lucía Cordero-Espinoza with:
Lucía Cordero-Espinoza United Kingdom
Chengang Xiang China
Patricia Nohemí Olivares Ponce United States
Suomi M.G. Fouraschen Netherlands
Michihiko Takesue Japan
Tongyu Lu China
Amy W. Rachfal United States
Daiki Yoshii Japan
Marike Marjolijn van Beuge Netherlands
Huilin Jin China
Milad Rezvani relative to Lucía Cordero-Espinoza United Kingdom Lucía Cordero-Espinoza's profile →
Citations per field
00.5×12.3×
Lucía Cordero-Espinoza · 1×
Citations per year

Countries citing papers authored by Milad Rezvani

Since Specialization
Citations

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

Fields of papers citing papers by Milad Rezvani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milad Rezvani

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 6
3 2
4 0
5 2
6 17
7 0
8 1
9 1
10 208
11 105
12 36
13 146
14 199
15 30
16
Prevalence of HCV and high-risk behaviors in drug addiction inmates in Rasht, Iran
3
17
Prevalence of hepatitis C virus infection and risk factors of drug using prisoners in Guilan province.
47

About Milad Rezvani

Milad Rezvani is a scholar working on Hepatology, Biological Psychiatry and Behavioral Neuroscience, having authored 17 papers that have together received 803 indexed citations. Recurring topics across this work include Liver physiology and pathology (7 papers), Pancreatic function and diabetes (4 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Hepatology (431 citations), Surgery (366 citations) and Cell Biology (101 citations). Milad Rezvani has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Holger Willenbring, Aras N. Mattis, Alan R. Wolfe, Saiyong Zhu, Leslie Z. Benet, Jack W. Harbell, Sheng Ding, Regina Español‐Suñer, Yann Malato and Andrew A. Grimm. Their work appears in journals such as Nature, Advanced Materials and Hepatology.

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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