H. Eric Xu

40.4k total citations · 12 hit papers
326 papers, 24.1k citations indexed

About

H. Eric Xu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, H. Eric Xu has authored 326 papers receiving a total of 24.1k indexed citations (citations by other indexed papers that have themselves been cited), including 227 papers in Molecular Biology, 76 papers in Cellular and Molecular Neuroscience and 37 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in H. Eric Xu's work include Receptor Mechanisms and Signaling (96 papers), Neuropeptides and Animal Physiology (42 papers) and Estrogen and related hormone effects (25 papers). H. Eric Xu is often cited by papers focused on Receptor Mechanisms and Signaling (96 papers), Neuropeptides and Animal Physiology (42 papers) and Estrogen and related hormone effects (25 papers). H. Eric Xu collaborates with scholars based in China, United States and Singapore. H. Eric Xu's co-authors include Karsten Melcher, Yi Jiang, Steven A. Kliewer, Millard H. Lambert, X. Edward Zhou, Kelly Suino-Powell, Timothy M. Willson, Yan Yan, Valerie G. Montana and Ting-Hai Xu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

H. Eric Xu

301 papers receiving 23.7k citations

Hit Papers

Amyloid beta: structure, ... 1999 2026 2008 2017 2017 1999 2001 2002 2014 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
H. Eric Xu 14.5k 3.4k 3.3k 2.8k 2.4k 326 24.1k
Matthias A. Hediger 14.8k 1.0× 5.9k 1.7× 2.9k 0.9× 2.1k 0.8× 1.4k 0.6× 256 33.5k
Melanie H. Cobb 27.3k 1.9× 3.0k 0.9× 2.4k 0.7× 2.1k 0.7× 1.3k 0.6× 278 37.1k
Hans Jörnvall 17.6k 1.2× 4.4k 1.3× 2.0k 0.6× 2.9k 1.0× 1.2k 0.5× 542 31.0k
Brian A. Hemmings 33.2k 2.3× 3.0k 0.9× 3.0k 0.9× 2.3k 0.8× 1.5k 0.6× 313 42.4k
Hiroshi Yamamoto 9.2k 0.6× 1.8k 0.5× 1.5k 0.4× 1.8k 0.6× 2.1k 0.9× 710 24.1k
Robin F. Irvine 21.2k 1.5× 5.7k 1.7× 3.7k 1.1× 1.4k 0.5× 2.9k 1.2× 223 31.0k
Sue Goo Rhee 31.0k 2.1× 2.3k 0.7× 4.7k 1.4× 1.5k 0.5× 1.2k 0.5× 244 41.4k
Joseph Avruch 29.1k 2.0× 2.0k 0.6× 3.2k 1.0× 1.7k 0.6× 1.1k 0.5× 189 38.2k
Edward A. Dennis 23.0k 1.6× 1.6k 0.5× 4.5k 1.4× 4.3k 1.6× 977 0.4× 390 36.7k
Boris Zhivotovsky 19.5k 1.3× 2.2k 0.6× 2.1k 0.6× 1.1k 0.4× 2.1k 0.9× 344 30.5k

Countries citing papers authored by H. Eric Xu

Since Specialization
Citations

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

Fields of papers citing papers by H. Eric Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Eric Xu. 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 H. Eric Xu. The network helps show where H. Eric Xu may publish in the future.

Co-authorship network of co-authors of H. Eric Xu

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

All Works

20 of 20 papers shown
1.
Liu, Hongli, Chongzhao You, Yixiao Zhang, et al.. (2025). Structural insights into antagonist recognition by the vasopressin V2 receptor. Nature Communications. 16(1). 9734–9734.
3.
Zhou, Hanlin, Jue Wang, Kathi Wilson, et al.. (2025). Using street view imagery and localized crowdsourcing survey to model perceived safety of the visual built environment by gender. International Journal of Applied Earth Observation and Geoinformation. 139. 104421–104421. 2 indexed citations
4.
Meng, Xue, Yang Li, Kai Wu, et al.. (2025). Structural insights into the activation of the human prostaglandin E 2 receptor EP1 subtype by prostaglandin E 2. Proceedings of the National Academy of Sciences. 122(20). e2423840122–e2423840122. 2 indexed citations
5.
Xu, H. Eric, Ao Zhang, Qingle Wang, et al.. (2025). Quantum Reinforcement Learning for real-time optimization in Electric Vehicle charging systems. Applied Energy. 383. 125279–125279. 8 indexed citations
6.
Hou, Yanping, et al.. (2024). Cu‐Doped V‐Based MOF Derivative VO 2 @Cu‐VMOF as a Cathodic Catalyst for Electro‐Fenton Degradation of Antibiotics. Small. 21(1). e2406523–e2406523. 2 indexed citations
7.
Wang, Jing, Lingxiang Wu, Xi Li, et al.. (2024). OA04.05 SHR-A1921, A TROP-2 Targeted Antibody-Drug Conjugate (ADC), In Patients (pts) with Advanced Small-Cell Lung Cancer (SCLC). Journal of Thoracic Oncology. 19(10). S16–S17. 5 indexed citations
8.
Fan, Luyu, Youwen Zhuang, Hongyu Wu, et al.. (2024). Structural basis of psychedelic LSD recognition at dopamine D1 receptor. Neuron. 112(19). 3295–3310.e8. 3 indexed citations
9.
Xie, Wenqin, et al.. (2024). Structural features of arrestin-mediated GPCR signaling. SHILAP Revista de lepidopterología. 24. 100201–100201.
10.
Xu, Youwei, Wen Hu, Yi Jiang, et al.. (2024). Molecular recognition and activation of the prostacyclin receptor by anti-pulmonary arterial hypertension drugs. Science Advances. 10(6). eadk5184–eadk5184. 7 indexed citations
11.
Wang, Yue, Weiyi Liu, Youwei Xu, et al.. (2023). Revealing the signaling of complement receptors C3aR and C5aR1 by anaphylatoxins. Nature Chemical Biology. 19(11). 1351–1360. 36 indexed citations
12.
Duan, Jia, Qiufeng Liu, Qingning Yuan, et al.. (2022). Insights into divalent cation regulation and G13-coupling of orphan receptor GPR35. Cell Discovery. 8(1). 135–135. 31 indexed citations
13.
Wang, Na, Xinheng He, Jing Zhao, et al.. (2022). Structural basis of leukotriene B4 receptor 1 activation. Nature Communications. 13(1). 1156–1156. 28 indexed citations
14.
Cheng, Xi, Lihua Zhao, Yuzhe Wang, et al.. (2021). Molecular insights into differentiated ligand recognition of the human parathyroid hormone receptor 2. Proceedings of the National Academy of Sciences. 118(32). 25 indexed citations
15.
Zhuang, Youwen, B. Krumm, Huibing Zhang, et al.. (2021). Mechanism of dopamine binding and allosteric modulation of the human D1 dopamine receptor. Cell Research. 31(5). 593–596. 62 indexed citations
16.
Su, Shang, Xiangqi Meng, Ruihua Liu, et al.. (2021). Enzalutamide-induced and PTH1R-mediated TGFBR2 degradation in osteoblasts confers resistance in prostate cancer bone metastases. Cancer Letters. 525. 170–178. 11 indexed citations
17.
Wacker, Daniel, Chong Wang, Vsevolod Katritch, et al.. (2013). Structural Features for Functional Selectivity at Serotonin Receptors. Science. 340(6132). 615–619. 543 indexed citations breakdown →
18.
Ke, Jiyuan, Runze Chen, Xin Gu, et al.. (2013). Structure of a PLS-class Pentatricopeptide Repeat Protein Provides Insights into Mechanism of RNA Recognition. Journal of Biological Chemistry. 288(44). 31540–31548. 50 indexed citations
19.
Pal, Kuntal, Kunchithapadam Swaminathan, H. Eric Xu, & Augen A. Pioszak. (2010). Structural Basis for Hormone Recognition by the Human CRFR2α G Protein-coupled Receptor. Journal of Biological Chemistry. 285(51). 40351–40361. 63 indexed citations
20.
Brine, George A., et al.. (1997). Ohmefentanyl and Its Stereoisomers: Chemistry and Pharmacology. Current Medicinal Chemistry. 4(4). 247–270. 10 indexed citations

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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