Roya Navab

2.8k citations
46 papers · 2.0k · h-index 26

Impact in

    • Protease and Inhibitor Mechanisms
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Cell Adhesion Molecules Research

Papers in

    • TGF-β signaling in diseases 6
    • Protein Kinase Regulation and GTPase Signaling 3
    • Cancer Cells and Metastasis 4

Roya Navab

45 papers receiving 1.9k citations

Peers

Roya Navab
Comparison fields: 5 of 101
  • Cancer Research 561
  • Immunology and Allergy 185
  • Oncology 602
  • Biophysics 81
  • Molecular Biology 949
Replace James Hulit with:
James Hulit United States
Danielle Murphy United States
David R. Croucher Australia
Yi Fan United States
Olav Engebraaten Norway
Nathaniel D. Kirkpatrick United States
Maria Vinci Italy
Volker Ehemann Germany
Stephanie Hehlgans Germany
Siqing Shan United States
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Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by Roya Navab

Since Specialization
Citations

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

Fields of papers citing papers by Roya Navab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roya Navab, 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 Roya Navab Line = papers co-authored together Roya Navab links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011297
2 2014174
3 2007126
4 2016102
5 201093
6 200887
7 201381
8 200080
9
Regulation of the Mr 72,000 type IV collagenase by the type I insulin-like growth factor receptor.
199865
10 200962
11 201956
12 199756
13 199754
14 201250
15 200850
16 201445
17 200744
18 200141
19 201941
20 200440

About Roya Navab

Roya Navab is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Immunology and Allergy, having authored 46 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (9 papers), Cell Adhesion Molecules Research (8 papers), Advanced Fluorescence Microscopy Techniques (6 papers), TGF-β signaling in diseases (6 papers), Cellular Mechanics and Interactions (5 papers), Cancer Cells and Metastasis (4 papers), Liver physiology and pathology (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Cancer Research (561 citations), Immunology and Allergy (185 citations), Oncology (602 citations), Biophysics (81 citations) and Molecular Biology (949 citations). Roya Navab has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Ming‐Sound Tsao, Pnina Brodt, Bizhan Bandarchi, Chang‐Qi Zhu, Igor Jurišica, Emin Ibrahimov, Nikolina Radulovich, Qi-Shun Zhu, Yan Chen and Amir Samani. Their work appears in journals such as Cancer Research, Cancers, Oncogene, PLoS ONE and Proceedings of the National Academy of Sciences.

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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