Hongli Hu

4.0k citations
36 papers · 2.6k indexed · 4 hit papers · h-index 18

Hongli Hu

30 papers receiving 2.6k citations

Hit Papers

Structure of the M2 muscarinic receptor–β-arrestin comple...2502017202620202023100200300400

Peers

Hongli Hu
Comparison fields: 5 of 115
  • Cellular and Molecular Neuroscience 1.2k
  • Structural Biology 65
  • Molecular Biology 2.2k
  • Toxicology 50
  • Spectroscopy 239
Replace Naomi R. Latorraca with:
Naomi R. Latorraca United States
Shoji Maeda Japan
Diane Calinski United States
David T. Lodowski United States
David M. Thal Australia
Sébastien Granier France
Jesper Mosolff Mathiesen Denmark
A.S. Dore United Kingdom
Alisa Glukhova United States
Ka Young Chung South Korea
Hongli Hu relative to Naomi R. Latorraca United States Naomi R. Latorraca's profile →
Citations per field
00.5×1.5×1.8×
Naomi R. Latorraca · 1×
Citations per year

Countries citing papers authored by Hongli Hu

Since Specialization
Citations

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

Fields of papers citing papers by Hongli Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20241
5 20240
6 20247
7 202419
8 20249
9 202325
10 20237
11 202241
12 202240
13 202096
14 2019182
15 201956
16 201879
17 201711
18
Cryo-EM structure of the activated GLP-1 receptor in complex with a G proteinbreakdown →
2017421
19 20154
20 201515

About Hongli Hu

Hongli Hu is a scholar working on Structural Biology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 36 papers that have together received 2.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Neuropeptides and Animal Physiology (4 papers), Lipid Membrane Structure and Behavior (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Mosquito-borne diseases and control (3 papers), Ion channel regulation and function (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Structural Biology (65 citations) and Molecular Biology (2.2k citations). Hongli Hu has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Georgios Skiniotis, Brian K. Kobilka, Yan Zhang, Naomi R. Latorraca, Daniel Hilger, Qianhui Qu, Michael J. Robertson, Shoji Maeda, William I. Weis and Ron O. Dror.

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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