Vahid Arabkari

660 citations
14 papers · 495 indexed · h-index 8
Topics
MicroRNA in disease regulation (5 papers)Cancer-related molecular mechanisms research (4 papers)Endoplasmic Reticulum Stress and Disease (3 papers)
Partner nations
IrelandSwedenIran

In The Last Decade

Vahid Arabkari

13 papers receiving 493 citations

Peers

Vahid Arabkari
Comparison fields: 5 of 76
  • Molecular Biology 317
  • Surgery 127
  • Food Science 107
  • Cancer Research 82
  • Oncology 56
Replace Isabella Spagnuolo with:
Isabella Spagnuolo Italy
Yifeng Lin China
Xia Yang China
Judeng Zeng China
Chuanyang Liu China
Shih Wee Seow Singapore
Tianying Tong China
Meifang Huang China
Sophie Van Welden Belgium
María J. Lorenzo Pisarello United States
Vahid Arabkari relative to Isabella Spagnuolo Italy Isabella Spagnuolo's profile →
Citations per field
00.5×3.1×
Isabella Spagnuolo · 1×
Citations per year

Countries citing papers authored by Vahid Arabkari

Since Specialization
Citations

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

Fields of papers citing papers by Vahid Arabkari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vahid Arabkari

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 5
2 6
3 0
4 69
5 58
6 23
7 42
8 223
9 3
10 7
11 1
12 32
13
Changes in ACTN3 gene expression and fiber type composition in flexor hallucis longus muscle after eight weeks progressive resistance training in Sprague-Dawley rats
2
14 24

About Vahid Arabkari

Vahid Arabkari is a scholar working on Cancer Research, Genetics and Cell Biology, having authored 14 papers that have together received 495 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Food Science (107 citations), Cancer Research (82 citations) and Gastroenterology (28 citations). Vahid Arabkari has collaborated with scholars based in Ireland, Sweden and Iran. Frequent co-authors include Parviz Kokhaei, Bahman Yousefi, Majid Eslami, Maral Hemati, Afshin Namdar, Abdolmajid Ghasemian, Terry Smith, Michael J. Kerin, Róisín M. Dwyer and Alireza Rezaiemanesh. Their work appears in journals such as Cancer Research, International Journal of Molecular Sciences and Journal of Cellular Physiology.

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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