Javad Verdi

563 citations
17 papers · 423 indexed · h-index 10
Topics
Mesenchymal stem cell research (5 papers)Immune Cell Function and Interaction (5 papers)Cancer, Hypoxia, and Metabolism (3 papers)
Journals
SHILAP Revista de lepidopterologíaStem Cell Research & TherapyBiotechnology Progress
Partner nations
IranBelgiumKazakhstan

In The Last Decade

Javad Verdi

17 papers receiving 420 citations

Peers

Javad Verdi
Comparison fields: 5 of 76
  • Molecular Biology 236
  • Cancer Research 177
  • Genetics 84
  • Immunology 66
  • Oncology 60
Replace Amir Zamani with:
Amir Zamani Iran
Shaowei Lan China
Isa Mohamed Rose Malaysia
Huo Tan China
Xiaoyue Cao China
Caroline Duhem Luxembourg
Jin Seok Park South Korea
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Javad Verdi relative to Amir Zamani Iran Amir Zamani's profile →
Citations per field
00.5×1.5×2.1×
Amir Zamani · 1×
Citations per year

Countries citing papers authored by Javad Verdi

Since Specialization
Citations

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

Fields of papers citing papers by Javad Verdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javad Verdi

This figure shows the co-authorship network connecting the top 25 collaborators of Javad Verdi. A scholar is included among the top collaborators of Javad Verdi 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 Javad Verdi. Javad Verdi 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 1
2 15
3 4
4 3
5 14
6 6
7 14
8 55
9 24
10 15
11 17
12 9
13 31
14 11
15 201
16
Venous catheter infection of patients admitted to ICU and its related factors
2
17
Epidemiology of urinary tract infection at the pediatric section of Shahid Beheshti Hospital of Kashan
1

About Javad Verdi

Javad Verdi is a scholar working on Genetics, Hepatology and Cancer Research, having authored 17 papers that have together received 423 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Immune Cell Function and Interaction (5 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (177 citations), Genetics (84 citations) and Molecular Biology (236 citations). Javad Verdi has collaborated with scholars based in Iran, Belgium and Kazakhstan. Frequent co-authors include Maria Kavianpour, Leila Saadatpour, Reyhaneh Nassiri Mansour, Mohammad Goodarzi, Seyed Mojtaba Mousavi, Sara Fadaei, Mohsen Mohammadi, Hamed Mirzaei, Mahshid Saleh and Jafar Ai. Their work appears in journals such as SHILAP Revista de lepidopterología, Stem Cell Research & Therapy and Biotechnology Progress.

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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