Shahrokh Navidpour

652 citations
37 papers · 492 indexed · h-index 15

Shahrokh Navidpour

36 papers receiving 470 citations

Peers

Shahrokh Navidpour
Comparison fields: 5 of 35
  • Genetics 440
  • Virology 49
  • Ecological Modeling 33
  • Pharmacology 67
  • Microbiology 22
Replace Javad Rafinejad with:
Javad Rafinejad Iran
Rejâne Maria Lira-da-Silva Brazil
Andrew J. Mason United States
M.C. Guarnieri Brazil
Schyler A. Ellsworth United States
José A. Portes-Junior Brazil
Miguel Borja Mexico
Hipócrates de Menezes Chalkidis Brazil
María Elisa Peichoto Argentina
Aarón Gómez Costa Rica
Shahrokh Navidpour relative to Javad Rafinejad Iran Javad Rafinejad's profile →
Citations per field
00.5×7.3×
Javad Rafinejad · 1×
Citations per year

Countries citing papers authored by Shahrokh Navidpour

Since Specialization
Citations

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

Fields of papers citing papers by Shahrokh Navidpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Shahrokh Navidpour, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shahrokh Navidpour Line = papers co-authored together Shahrokh Navidpour links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20219
2 20202
3 202027
4 201914
5
Spatial Distribution of Medically Important Scorpions in North West of Iran
201711
6 201710
7 201624
8 20168
9 20149
10 201319
11 201222
12 201118
13 201122
14 201017
15 20109
16 200828
17 200832
18 200817
19 200836
20 200812

About Shahrokh Navidpour

Shahrokh Navidpour is a scholar working on Genetics, Virology and Cancer Research, having authored 37 papers that have together received 492 indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (33 papers), Spider Taxonomy and Behavior Studies (10 papers), Yersinia bacterium, plague, ectoparasites research (9 papers), Ion channel regulation and function (5 papers), Entomological Studies and Ecology (4 papers), Leech Biology and Applications (4 papers), Beetle Biology and Toxicology Studies (3 papers) and Biochemical and Structural Characterization (3 papers). The work is most often cited by research in Genetics (440 citations), Virology (49 citations) and Ecological Modeling (33 citations). Shahrokh Navidpour has collaborated with scholars based in Iran, United States and Pakistan. Frequent co-authors include František Kovařík, Victor Fet, Michael Soleglad, Omid Mirshamsi, Javad Rafinejad, Mansour Aliabadian, Mehran Shahi, Graeme Lowe, Khodadad Pirali‐Kheirabadi and Roohollah Siahsarvie. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Investigative Ophthalmology & Visual Science.

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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