Sanaz Darbalaei

8 papers receiving 524 citations

Hit Papers

G protein-coupled receptors: structure- and function-base...20212026202220242021100200300

Peers

Sanaz Darbalaei
Comparison fields: 5 of 78
  • Molecular Biology 420
  • Cellular and Molecular Neuroscience 198
  • Endocrinology, Diabetes and Metabolism 107
  • Radiology, Nuclear Medicine and Imaging 62
  • Computational Theory and Mathematics 59
Replace Elita Yuliantie with:
Elita Yuliantie Australia
Linshan Xie China
Rudi Prihandoko United Kingdom
James Kean United Kingdom
Rory Sleno Canada
Edward Rosser United Kingdom
Qingya Shen China
Zsombor Kőszegi United Kingdom
Élie Besserer‐Offroy Canada
Madeleine Héroux Canada
Sanaz Darbalaei relative to Elita Yuliantie Australia Elita Yuliantie's profile →
Citations per field
00.5×1.5×
Elita Yuliantie · 1×
Citations per year

Countries citing papers authored by Sanaz Darbalaei

Since Specialization
Citations

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

Fields of papers citing papers by Sanaz Darbalaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanaz Darbalaei

This figure shows the co-authorship network connecting the top 25 collaborators of Sanaz Darbalaei. A scholar is included among the top collaborators of Sanaz Darbalaei 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 Sanaz Darbalaei. Sanaz Darbalaei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 49
2 5
3 9
4
G protein-coupled receptors: structure- and function-based drug discoverybreakdown →
395
5 25
6 40
7 1
8 2

About Sanaz Darbalaei

Sanaz Darbalaei is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 8 papers that have together received 526 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (5 papers) and Diabetes Treatment and Management (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (198 citations), Endocrinology, Diabetes and Metabolism (107 citations) and Molecular Biology (420 citations). Sanaz Darbalaei has collaborated with scholars based in China, Australia and Denmark. Frequent co-authors include Dehua Yang, Ming‐Wei Wang, Elita Yuliantie, Qingtong Zhou, Wenqing Shui, Qing Liu, Linshan Xie, Houchao Tao, Shanshan Qin and Suwen Zhao. Their work appears in journals such as Trends in Pharmacological Sciences, Biochemical Pharmacology and Signal Transduction and Targeted 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