Nadia Arang
Impact in
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
-
- Neuropeptides and Animal Physiology
Papers in
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- Cell Adhesion Molecules Research 4
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- Ocular Oncology and Treatments 4
- Co-authors
- J. Silvio GutkindFrancesco RaimondiAsuka InoueYuji ShinjoTakayuki KishiSatoru IshidaGurdeep SinghFrancois Marie Ngako Kadji
- Journals
- Cancer Cell (2 papers)Infection and Immunity (2 papers)Journal of Biological Chemistry (2 papers)Science Signaling (2 papers)Molecular Therapy (1 paper)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Nadia Arang
26 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Cell Biology 216
- Cellular and Molecular Neuroscience 224
- Molecular Biology 772
- Immunology and Allergy 64
- Ophthalmology 89
Countries citing papers authored by Nadia Arang
This map shows the geographic impact of Nadia Arang'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 Nadia Arang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Arang more than expected).
Fields of papers citing papers by Nadia Arang
This network shows the impact of papers produced by Nadia Arang. 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 Nadia Arang. The network helps show where Nadia Arang may publish in the future.
Co-authors
The 25 scholars most cited alongside Nadia Arang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 11 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 29 | |
| 9 | 2022 | 10 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 54 | |
| 12 | 2021 | 38 | |
| 13 | 2021 | 37 | |
| 14 | 2020 | 29 | |
| 15 | Illuminating G-Protein-Coupling Selectivity of GPCRs Hit paper breakdown → | 2019 | 396 |
| 16 | 2019 | 69 | |
| 17 | 2019 | 172 | |
| 18 | 2019 | 7 | |
| 19 | 2017 | 34 | |
| 20 | 2015 | 25 |
About Nadia Arang
Nadia Arang is a scholar working on Immunology and Allergy, Ophthalmology, Cell Biology, Transplantation and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Malaria Research and Control (7 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Retinal Development and Disorders (4 papers), Cell Adhesion Molecules Research (4 papers), Ocular Oncology and Treatments (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Cell Biology (216 citations), Cellular and Molecular Neuroscience (224 citations), Molecular Biology (772 citations), Immunology and Allergy (64 citations) and Ophthalmology (89 citations). Nadia Arang has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include J. Silvio Gutkind, Francesco Raimondi, Asuka Inoue, Yuji Shinjo, Takayuki Kishi, Satoru Ishida, Gurdeep Singh, Francois Marie Ngako Kadji, Kouki Kawakami and Yuki Ono. Their work appears in journals such as Cancer Cell, Infection and Immunity, Journal of Biological Chemistry, Science Signaling and Molecular Therapy.
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.