Yuan He

582 total citations
25 papers, 443 citations indexed

About

Yuan He is a scholar working on Molecular Biology, Cancer Research and Endocrine and Autonomic Systems. According to data from OpenAlex, Yuan He has authored 25 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in Yuan He's work include Circadian rhythm and melatonin (4 papers), Cancer-related molecular mechanisms research (4 papers) and RNA modifications and cancer (3 papers). Yuan He is often cited by papers focused on Circadian rhythm and melatonin (4 papers), Cancer-related molecular mechanisms research (4 papers) and RNA modifications and cancer (3 papers). Yuan He collaborates with scholars based in China, Hong Kong and United States. Yuan He's co-authors include Shiu Fun Pang, Theodore J. Brown, Neil J. MacLusky, Fai Tang, Jin‐Tang Dong, Liya Fu, Deborah Bowlby, Li Fu, Richard B. Hochberg and Zhengmao Zhu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Yuan He

24 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuan He China	13	190	115	113	61	53	25	443
Ching‐Hsiang Wu Taiwan	14	222 1.2×	44 0.4×	80 0.7×	40 0.7×	108 2.0×	22	670
Miho Yamashita Japan	10	125 0.7×	162 1.4×	27 0.2×	31 0.5×	47 0.9×	22	388
Anna Cronin United Kingdom	10	192 1.0×	168 1.5×	19 0.2×	101 1.7×	36 0.7×	16	594
Lionel Budry Canada	8	218 1.1×	63 0.5×	18 0.2×	73 1.2×	40 0.8×	8	402
Jeffrey Schwartz United States	15	134 0.7×	72 0.6×	32 0.3×	58 1.0×	51 1.0×	25	618
Gabriela A. Ferreyra United States	15	195 1.0×	283 2.5×	34 0.3×	25 0.4×	165 3.1×	25	668
Chris Chapman United Kingdom	9	196 1.0×	108 0.9×	36 0.3×	37 0.6×	190 3.6×	11	463
Harumi Katsumata Japan	12	86 0.5×	106 0.9×	15 0.1×	36 0.6×	60 1.1×	19	439
Bhavaani Jayaram United States	10	174 0.9×	80 0.7×	14 0.1×	55 0.9×	65 1.2×	12	410
Sen-ichi FURUDATE Japan	14	210 1.1×	36 0.3×	17 0.2×	83 1.4×	54 1.0×	37	580

Countries citing papers authored by Yuan He

Since Specialization

Citations

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

Fields of papers citing papers by Yuan He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan He

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan He. A scholar is included among the top collaborators of Yuan He 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 Yuan He. Yuan He 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

Tan, Ni, et al.. (2025). Clinical significance of the hemoglobin-to-red blood cell distribution width ratio in patients with severe OSAS. Scientific Reports. 15(1). 12563–12563.

Zhu, Lan, et al.. (2024). PD-YOLO: A study of daily behavioural detection in housed sheep. PLoS ONE. 19(11). e0313412–e0313412. 3 indexed citations

Li, Lu, Ke Wang, Jing Tao, et al.. (2024). The maternal drug exposure birth cohort (DEBC) in China. Nature Communications. 15(1). 5312–5312. 3 indexed citations

Zhu, Lan, et al.. (2024). Sheep-YOLO: a lightweight daily behavior identification and counting method for housed sheep. Measurement Science and Technology. 36(2). 26001–26001. 1 indexed citations

Li, Qing, et al.. (2020). MicroRNA‑21‑5p promotes epithelial to mesenchymal transition by targeting SRY‑box 17 in endometrial cancer. Oncology Reports. 43(6). 1897–1905. 24 indexed citations

He, Yuan, Shuai Huang, Ting Cheng, et al.. (2020). High glucose may promote the proliferation and metastasis of hepatocellular carcinoma via E2F1/RRBP1 pathway. Life Sciences. 252. 117656–117656. 14 indexed citations

He, Yuan, et al.. (2019). Phospholipase Cγ Signaling in Bone Marrow Stem Cell and Relevant Natural Compounds Therapy. Current Stem Cell Research & Therapy. 15(7). 579–587. 1 indexed citations

Ma, Gui, Ang Gao, Yuan He, et al.. (2019). Zfhx3 is essential for progesterone/progesterone receptor signaling to drive ductal side-branching and alveologenesis in mouse mammary glands. Journal of genetics and genomics. 46(3). 119–131. 11 indexed citations

Cheng, Ting, et al.. (2019). High glucose regulates ERp29 in hepatocellular carcinoma by LncRNA MEG3-miRNA 483-3p pathway. Life Sciences. 232. 116602–116602. 23 indexed citations

10.

Zhang, Ke, Jun Lei, Yuan He, et al.. (2018). A flavonoids compound inhibits osteoclast differentiation by attenuating RANKL induced NFATc-1/c-Fos induction. International Immunopharmacology. 61. 150–155. 12 indexed citations

11.

He, Yuan, et al.. (2018). Acute promyelocytic leukaemia with increased basophils. British Journal of Haematology. 185(1). 7–7. 2 indexed citations

12.

Zhao, Dan, Gui Ma, Zhang XiaoLin, et al.. (2016). Zinc Finger Homeodomain Factor Zfhx3 Is Essential for Mammary Lactogenic Differentiation by Maintaining Prolactin Signaling Activity. Journal of Biological Chemistry. 291(24). 12809–12820. 28 indexed citations

13.

Zhang, Baotong, Ranran Zhao, Yuan He, et al.. (2015). Micro RNA 100 sensitizes luminal A breast cancer cells to paclitaxel treatment in part by targeting mTOR. Oncotarget. 7(5). 5702–5714. 64 indexed citations

14.

MacLusky, Neil J., Yuan He, Jennifer Elliott, & Theodore J. Brown. (1996). Sex differences in corticosteroid binding in the rat brain: an in vitro autoradiographic study. Brain Research. 708(1-2). 71–81. 29 indexed citations

15.

Liu, F., Yuan He, Kim S. Sugamori, et al.. (1995). Molecular and functional characterization of a partial cDNA encoding a novel chicken brain melatonin receptor. FEBS Letters. 374(2). 273–278. 41 indexed citations

16.

He, Yuan, Camie W. Chan, William Q. Sturner, Shiu Fun Pang, & Gregory M. Brown. (1995). Comparison of [125I,iodomelatonin binding sites in infant cerebellum of sudden infant death syndrome and non-sudden infant death syndrome. Neuroscience Letters. 197(2). 154–158. 4 indexed citations

17.

Pang, S.F., et al.. (1993). Differential Effects of Short Photoperiod on 2-[<sup>125</sup>l]lodomelatonin Binding in the Testis and Brain of Quail. Neurosignals. 2(3). 146–154. 12 indexed citations

18.

Lu, Yan, Yuan He, & Shiu Fun Pang. (1991). Retinal [125I]iodomelatonin binding sites in the tree shrew (Tupaiidae). Neuroscience Letters. 130(2). 149–152. 5 indexed citations

19.

He, Yuan & Shiu Fun Pang. (1990). [125I]melatonin binding sites in membrane preparations of quail brain: characteristics and diurnal variations. European Journal of Endocrinology. 122(5). 633–639. 27 indexed citations

20.

He, Yuan, Fai Tang, & Shiu Fun Pang. (1990). Binding Characteristics, Regional Distribution and Diurnal Variation of [¹²⁵I]‐Iodomelatonin Binding Sites in the Chicken Brain. Journal of Pineal Research. 9(3). 179–191. 44 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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