Javad Verdi

1.9k total citations
69 papers, 1.5k citations indexed

About

Javad Verdi is a scholar working on Molecular Biology, Genetics and Biomaterials. According to data from OpenAlex, Javad Verdi has authored 69 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Genetics and 14 papers in Biomaterials. Recurrent topics in Javad Verdi's work include Mesenchymal stem cell research (14 papers), Tissue Engineering and Regenerative Medicine (12 papers) and Electrospun Nanofibers in Biomedical Applications (11 papers). Javad Verdi is often cited by papers focused on Mesenchymal stem cell research (14 papers), Tissue Engineering and Regenerative Medicine (12 papers) and Electrospun Nanofibers in Biomedical Applications (11 papers). Javad Verdi collaborates with scholars based in Iran, United Kingdom and Canada. Javad Verdi's co-authors include Jafar Ai, Alexander M. Seifalian, Seyed Abdolreza Mortazavi‐Tabatabaei, Mahsa Mollapour Sisakht, Mahdi Noureddini, Hamid Reza Banafshe, Alí Samadikuchaksaraei, Behrang Alani, Majid Nejati and Farzaneh Sharifzad and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Javad Verdi

67 papers receiving 1.5k citations

Peers

Javad Verdi
Comparison fields: 5 of 110
  • Molecular Biology 465
  • Biomaterials 339
  • Genetics 312
  • Biomedical Engineering 285
  • Surgery 254
Replace Paola Campagnolo with:
Paola Campagnolo United Kingdom
Brenton Cavanagh Ireland
Xiao‐Tao He China
Yoojin Seo South Korea
Chi Ma China
Monia Orciani Italy
Sarah Strauß Germany
Janette N. Zara United States
Shu Guo China
Paola Campagnolo United Kingdom View profile →
Citations per field, relative to Javad Verdi
Javad Verdi · 1×
Citations per year, relative to Javad Verdi
Javad Verdi · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 2
4 5
5 15
6 12
7 55
8 21
9 17
10 9
11 132
12 15
13 44
14 18
15 19
16 17
17 23
18 1
19 1
20 12

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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