Haibei Hu

533 total citations
10 papers, 418 citations indexed

About

Haibei Hu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Haibei Hu has authored 10 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 1 paper in Pharmacology. Recurrent topics in Haibei Hu's work include Receptor Mechanisms and Signaling (5 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Haibei Hu is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Haibei Hu collaborates with scholars based in United States, China and Germany. Haibei Hu's co-authors include Fang Ye, Huayun Deng, Ann M. Ferrie, Chung Yu Chan, Anthony M. Pedley, Raymond Pugh, Stephen J. Benkovic, Youxin Zhang, Jarrod B. French and Sara A. Jones and has published in prestigious journals such as Science, PLoS ONE and Scientific Reports.

In The Last Decade

Haibei Hu

9 papers receiving 410 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Haibei Hu United States	9	323	76	42	41	36	10	418
Hanyang Hu China	13	481 1.5×	52 0.7×	36 0.9×	33 0.8×	61 1.7×	22	706
Chan Cao China	8	336 1.0×	64 0.8×	10 0.2×	49 1.2×	58 1.6×	11	468
John S. Major United Kingdom	13	282 0.9×	61 0.8×	17 0.4×	42 1.0×	24 0.7×	27	578
Venkat R. Chirasani United States	15	321 1.0×	79 1.0×	19 0.5×	88 2.1×	12 0.3×	41	496
Jan Møller Germany	8	303 0.9×	142 1.9×	12 0.3×	30 0.7×	46 1.3×	8	401
Bharath Ananthanarayanan United States	10	623 1.9×	48 0.6×	15 0.4×	22 0.5×	54 1.5×	14	724
Bonnie J. Hanson United States	14	419 1.3×	148 1.9×	9 0.2×	29 0.7×	15 0.4×	20	557
Frederik W. Lund Denmark	17	449 1.4×	27 0.4×	33 0.8×	23 0.6×	50 1.4×	26	662
Laurent Bernad United States	9	286 0.9×	58 0.8×	10 0.2×	34 0.8×	25 0.7×	13	395
L. Allen Kindman United States	15	405 1.3×	60 0.8×	56 1.3×	18 0.4×	9 0.3×	17	621

Countries citing papers authored by Haibei Hu

Since Specialization

Citations

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

Fields of papers citing papers by Haibei Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibei Hu

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

All Works

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10 of 10 papers shown

1.

Hu, Haibei, et al.. (2026). PACAP Alleviates Paclitaxel‐Induced Peripheral Neuropathy by Targeting Oxidative Stress and Mitochondrial Damage via the PGC‐1α Pathway. CNS Neuroscience & Therapeutics. 32(1). e70745–e70745.

2.

Hu, Haibei, et al.. (2023). PGC1α: an emerging therapeutic target for chemotherapy-induced peripheral neuropathy. Therapeutic Advances in Neurological Disorders. 16. 4223444449–4223444449. 9 indexed citations

3.

French, Jarrod B., Sara A. Jones, Huayun Deng, et al.. (2016). Spatial colocalization and functional link of purinosomes with mitochondria. Science. 351(6274). 733–737. 177 indexed citations

4.

Verrier, Florence, et al.. (2012). Dynamic Mass Redistribution Assay Decodes Differentiation of a Neural Progenitor Stem Cell. SLAS DISCOVERY. 17(9). 1180–1191. 14 indexed citations

5.

Deng, Huayun, Jieyu Hu, Haibei Hu, Mingqian He, & Fang Ye. (2012). Thieno[3,2-b]thiophene-2-carboxylic acid derivatives as GPR35 agonists. Bioorganic & Medicinal Chemistry Letters. 22(12). 4148–4152. 14 indexed citations

6.

Hu, Haibei, Huayun Deng, & Fang Ye. (2012). Label-Free Phenotypic Profiling Identified D-Luciferin as a GPR35 Agonist. PLoS ONE. 7(4). e34934–e34934. 20 indexed citations

7.

Deng, Huayun, Haibei Hu, & Fang Ye. (2012). Multiple tyrosine metabolites are GPR35 agonists. Scientific Reports. 2(1). 373–373. 55 indexed citations

8.

Deng, Huayun, Haibei Hu, Shizhang Ling, Ann M. Ferrie, & Fang Ye. (2012). Discovery of Natural Phenols as G Protein-Coupled Receptor-35 (GPR35) Agonists. ACS Medicinal Chemistry Letters. 3(2). 165–169. 28 indexed citations

9.

Deng, Huayun, Haibei Hu, & Fang Ye. (2011). Tyrphostin analogs are GPR35 agonists. FEBS Letters. 585(12). 1957–1962. 45 indexed citations

10.

Deng, Huayun, Haibei Hu, Mingqian He, et al.. (2011). Discovery of 2-(4-Methylfuran-2(5H)-ylidene)malononitrile and Thieno[3,2-b]thiophene-2-carboxylic Acid Derivatives as G Protein-Coupled Receptor 35 (GPR35) Agonists. Journal of Medicinal Chemistry. 54(20). 7385–7396. 56 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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