Aashish Manglik
- Cellular and Molecular Neuroscience top 0.1%
- Neuropeptides and Animal Physiology 32
- Neuroscience and Neuropharmacology Research 4
- Molecular Biology top 0.5%
- Receptor Mechanisms and Signaling 39
- Pharmacological Receptor Mechanisms and Effects 7
- Lipid Membrane Structure and Behavior 6
- Glycosylation and Glycoproteins Research 5
- Hedgehog Signaling Pathway Studies 4
-
- Monoclonal and Polyclonal Antibodies Research 8
- Computational Theory and Mathematics top 0.5%
- Spectroscopy top 1%
Aashish Manglik
54 papers receiving 10.7k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cellular and Molecular Neuroscience 5.6k
- Molecular Biology 9.4k
- Radiology, Nuclear Medicine and Imaging 1.8k
- Computational Theory and Mathematics 945
- Spectroscopy 791
Countries citing papers authored by Aashish Manglik
This map shows the geographic impact of Aashish Manglik'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 Aashish Manglik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aashish Manglik more than expected).
Fields of papers citing papers by Aashish Manglik
This network shows the impact of papers produced by Aashish Manglik. 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 Aashish Manglik. The network helps show where Aashish Manglik may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aashish Manglik, 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 | 2024 | 12 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 19 | |
| 4 | 2024 | 1 | |
| 5 | Structural basis of odorant recognition by a human odorant receptorbreakdown → | 2023 | 103 |
| 6 | 2023 | 8 | |
| 7 | 2022 | 34 | |
| 8 | 2021 | 39 | |
| 9 | 2020 | 6 | |
| 10 | 2020 | 25 | |
| 11 | 2020 | 8 | |
| 12 | 2018 | 211 | |
| 13 | Yeast surface display platform for rapid discovery of conformationally selective nanobodiesbreakdown → | 2018 | 348 |
| 14 | 2015 | 216 | |
| 15 | Structural insights into µ-opioid receptor activationbreakdown → | 2015 | 700 |
| 16 | Structural Insights into the Dynamic Process of β2-Adrenergic Receptor Signalingbreakdown → | 2015 | 521 |
| 17 | 2014 | 74 | |
| 18 | 2013 | 353 | |
| 19 | 2012 | 126 | |
| 20 | 2012 | 86 |
About Aashish Manglik
Aashish Manglik is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Structural Biology, having authored 57 papers that have together received 10.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (39 papers), Neuropeptides and Animal Physiology (32 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Pharmacological Receptor Mechanisms and Effects (7 papers), Lipid Membrane Structure and Behavior (6 papers), Glycosylation and Glycoproteins Research (5 papers), Hedgehog Signaling Pathway Studies (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.6k citations), Molecular Biology (9.4k citations) and Radiology, Nuclear Medicine and Imaging (1.8k citations). Aashish Manglik has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Brian K. Kobilka, Andrew C. Kruse, William I. Weis, Foon Sun Thian, Tong Sun Kobilka, Sébastien Granier, Jan Steyaert, Ron O. Dror, Daniel Hilger and Aaron M. Ring. Their work appears in journals such as Nature, Science and Cell.
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.