Pan Hu

1.1k total citations
35 papers, 867 citations indexed

About

Pan Hu is a scholar working on Physiology, Epidemiology and Immunology. According to data from OpenAlex, Pan Hu has authored 35 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 9 papers in Epidemiology and 8 papers in Immunology. Recurrent topics in Pan Hu's work include Adipose Tissue and Metabolism (9 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Immune Cell Function and Interaction (5 papers). Pan Hu is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Immune Cell Function and Interaction (5 papers). Pan Hu collaborates with scholars based in United States, China and Israel. Pan Hu's co-authors include Ling Zhao, Jiangang Chen, Aleksey Porollo, Jeremy O. Jones, Xin Chen, Eric T. Boder, Jiyoung Bae, Yijun Zhou, Daniel Hwang and Slavko Komarnytsky and has published in prestigious journals such as Applied and Environmental Microbiology, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Pan Hu

34 papers receiving 844 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pan Hu United States	16	229	215	203	188	122	35	867
Hso‐Chi Chaung Taiwan	20	158 0.7×	123 0.6×	119 0.6×	290 1.5×	221 1.8×	37	1.1k
Wenbo Jiang China	16	289 1.3×	57 0.3×	152 0.7×	125 0.7×	127 1.0×	60	869
Carole Robinette United States	18	178 0.8×	186 0.9×	116 0.6×	43 0.2×	87 0.7×	32	878
Meirong Zhang China	14	321 1.4×	179 0.8×	75 0.4×	36 0.2×	104 0.9×	51	762
Lianjun Feng China	13	405 1.8×	83 0.4×	47 0.2×	90 0.5×	91 0.7×	15	781
Yanhong Chen China	19	284 1.2×	32 0.1×	94 0.5×	145 0.8×	100 0.8×	100	1.1k
Lijuan Bao China	16	501 2.2×	62 0.3×	59 0.3×	113 0.6×	110 0.9×	43	1.0k
Leila Keskes Tunisia	23	592 2.6×	113 0.5×	55 0.3×	119 0.6×	104 0.9×	120	2.2k
Paula Mota Portugal	16	329 1.4×	88 0.4×	133 0.7×	92 0.5×	51 0.4×	67	1.2k

Countries citing papers authored by Pan Hu

Since Specialization

Citations

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

Fields of papers citing papers by Pan Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Hu. A scholar is included among the top collaborators of Pan 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 Pan Hu. Pan 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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20 of 20 papers shown

He, Yunlong, et al.. (2025). Mogroside V: Molecular mechanisms and therapeutic applications. Phytomedicine. 148. 157250–157250.

Kuzmina, Alona, Aner Ottolenghi, Pan Hu, et al.. (2023). Changes within the P681 residue of spike dictate cell fusion and syncytia formation of Delta and Omicron variants of SARS-CoV-2 with no effects on neutralization or infectivity. Heliyon. 9(6). e16750–e16750. 6 indexed citations

Selyutina, Anastasia, Lacy M. Simons, Karen A. Kirby, et al.. (2022). TRIM5α Restriction of HIV-1-N74D Viruses in Lymphocytes Is Caused by a Loss of Cyclophilin A Protection. Viruses. 14(2). 363–363. 6 indexed citations

Guo, Jian, Zhaoqi He, Jiang Chang, et al.. (2022). Tyrosol inhibits NF-κB pathway in the treatment of enterotoxigenic Escherichia coli-induced diarrhea in mice. Microbial Pathogenesis. 176. 105944–105944. 7 indexed citations

Selyutina, Anastasia, Pan Hu, Lacy M. Simons, et al.. (2021). GS-CA1 and lenacapavir stabilize the HIV-1 core and modulate the core interaction with cellular factors. iScience. 25(1). 103593–103593. 34 indexed citations

Hu, Pan, et al.. (2021). Recent Progress of LuAG∶Ce<sup>3+</sup> for White Laser Diode Lighting Application. Chinese Journal of Luminescence. 42(10). 1531–1548. 6 indexed citations

Hu, Pan, et al.. (2019). Plasma metabolic characterisation of dairy cows with inactive ovaries and oestrus during the peak of lactation. Journal of Veterinary Research. 63(3). 359–367. 7 indexed citations

Michel, Audrey M., Dmitry E. Andreev, Lyudmila Shalamova, et al.. (2019). Cellular Gene Expression during Hepatitis C Virus Replication as Revealed by Ribosome Profiling. International Journal of Molecular Sciences. 20(6). 1321–1321. 16 indexed citations

Hu, Pan, et al.. (2019). Lnc-ITM2C-1 and GPR55 Are Proviral Host Factors for Hepatitis C Virus. Viruses. 11(6). 549–549. 15 indexed citations

10.

Hu, Pan, et al.. (2017). Methylparaben and butylparaben alter multipotent mesenchymal stem cell fates towards adipocyte lineage. Toxicology and Applied Pharmacology. 329. 48–57. 47 indexed citations

11.

Hu, Pan, Xin Chen, Jia Zhang, et al.. (2016). Differential effects on adiposity and serum marker of bone formation by post-weaning exposure to methylparaben and butylparaben. Environmental Science and Pollution Research. 23(21). 21957–21968. 51 indexed citations

12.

Mu, Xingjiang, Lang Gui, Xuemei Liang, et al.. (2014). Comparative renal gene expression in response to abrupt hypoosmotic shock in spotted scat (Scatophagus argus). General and Comparative Endocrinology. 215. 25–35. 18 indexed citations

13.

Hu, Pan, et al.. (2014). Identification of fxyd genes from the spotted scat (Scatophagus argus): Molecular cloning, tissue-specific expression, and response to acute hyposaline stress. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 174. 15–22. 20 indexed citations

14.

Hu, Pan, Ling Zhao, & Jiangang Chen. (2014). Physiologically achievable doses of resveratrol enhance 3T3-L1 adipocyte differentiation. European Journal of Nutrition. 54(4). 569–579. 28 indexed citations

15.

Menn, Fu‐Min, Laura Healy, Kellie A. Fecteau, et al.. (2014). Early Life Triclocarban Exposure During Lactation Affects Neonate Rat Survival. Reproductive Sciences. 22(1). 75–89. 24 indexed citations

16.

Bae, Jiyoung, Débora Esposito, Slavko Komarnytsky, et al.. (2014). 1,25-Dihydroxyvitamin D3/vitamin D receptor suppresses brown adipocyte differentiation and mitochondrial respiration. European Journal of Nutrition. 54(6). 1001–1012. 60 indexed citations

17.

Hu, Pan, et al.. (2013). The effects of NOD activation on adipocyte differentiation. Obesity. 21(4). 737–747. 37 indexed citations

18.

Hu, Pan, Xin Chen, Eric T. Boder, et al.. (2012). Effects of Parabens on Adipocyte Differentiation. Toxicological Sciences. 131(1). 56–70. 152 indexed citations

19.

Hu, Pan, et al.. (2012). The Effects of NOD Activation on Adipocyte Differentiation. Obesity. 3 indexed citations

20.

Jiang, Wen, et al.. (2011). The detection of 3 leptin receptor isoforms in crucian carp gill and the influence of fasting and hypoxia on their expression. Domestic Animal Endocrinology. 41(2). 74–80. 30 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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