Nadia Arang

1.9k citations
27 papers · 1.2k indexed · 1 hit paper · h-index 15

Impact in

Papers in

Nadia Arang

26 papers receiving 1.2k citations

Hit Papers

Illuminating G-Protein-Coupling Selectivity of GPCRs 2019 · 396 citations
3962019202620212023100200300

Peers

Nadia Arang
Comparison fields: 5 of 86
  • Cell Biology 216
  • Cellular and Molecular Neuroscience 224
  • Molecular Biology 772
  • Immunology and Allergy 64
  • Ophthalmology 89
Replace Suresh Shenoy with:
Suresh Shenoy United States
Hanita Khaner Israel
Linda Julian United Kingdom
Christina Meyer United States
David X. Liu United States
Aparna Lakkaraju United States
Anna Tsapara Greece
Quintus G. Medley United States
Rui Lin United States
May M. Paing United States
Nadia Arang relative to Suresh Shenoy United States Suresh Shenoy's profile →
Citations per field
00.5×7.1×
Suresh Shenoy · 1×
Citations per year

Countries citing papers authored by Nadia Arang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202511
3 20242
4 20243
5 20241
6 202311
7 202212
8 202229
9 202210
10 20218
11 202154
12 202138
13 202137
14 202029
15
Illuminating G-Protein-Coupling Selectivity of GPCRs
Hit paper breakdown →
2019396
16 201969
17 2019172
18 20197
19 201734
20 201525

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026