Mulan He

1.1k total citations
47 papers, 946 citations indexed

About

Mulan He is a scholar working on Endocrine and Autonomic Systems, Physiology and Reproductive Medicine. According to data from OpenAlex, Mulan He has authored 47 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrine and Autonomic Systems, 13 papers in Physiology and 13 papers in Reproductive Medicine. Recurrent topics in Mulan He's work include Hypothalamic control of reproductive hormones (13 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Regulation of Appetite and Obesity (9 papers). Mulan He is often cited by papers focused on Hypothalamic control of reproductive hormones (13 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Regulation of Appetite and Obesity (9 papers). Mulan He collaborates with scholars based in China, Hong Kong and United States. Mulan He's co-authors include Aol Wong, Stanko S. Stojilković, Taka‐aki Koshimizu, Hana Zemková, Melanija Tomić, Wendy K. W. Ko, Guangfu Hu, Chengyuan Lin, Jin Bai and Arturo E. González-Iglesias and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Journal of Agricultural and Food Chemistry.

In The Last Decade

Mulan He

47 papers receiving 935 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mulan He China 21 304 268 258 200 172 47 946
Ivana Bjelobaba Serbia 23 416 1.4× 132 0.5× 432 1.7× 101 0.5× 163 0.9× 72 1.4k
Marija M. Janjic Serbia 21 45 0.1× 138 0.5× 212 0.8× 222 1.1× 62 0.4× 40 845
Gina L. C. Yosten United States 22 34 0.1× 712 2.7× 474 1.8× 167 0.8× 440 2.6× 57 1.6k
J. C. Buckingham United Kingdom 24 22 0.1× 228 0.9× 475 1.8× 120 0.6× 213 1.2× 54 1.4k
M.F. Gimeno Argentina 20 16 0.1× 141 0.5× 196 0.8× 234 1.2× 104 0.6× 100 1.3k
Rong‐Ming Lyu United States 13 24 0.1× 167 0.6× 478 1.9× 119 0.6× 302 1.8× 23 954
G.D. Snyder United States 16 18 0.1× 127 0.5× 239 0.9× 223 1.1× 251 1.5× 21 1.1k
N Levens Switzerland 15 39 0.1× 728 2.7× 266 1.0× 65 0.3× 265 1.5× 20 1.0k
K. J. Catt United States 19 24 0.1× 60 0.2× 350 1.4× 282 1.4× 135 0.8× 37 1.2k
Giorgio Ramadori United States 18 84 0.3× 595 2.2× 441 1.7× 36 0.2× 87 0.5× 30 1.7k

Countries citing papers authored by Mulan He

Since Specialization
Citations

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

Fields of papers citing papers by Mulan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mulan He

This figure shows the co-authorship network connecting the top 25 collaborators of Mulan He. A scholar is included among the top collaborators of Mulan 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 Mulan He. Mulan He 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.
He, Mulan, et al.. (2024). Advances in the application of network analysis methods in traditional Chinese medicine research. Phytomedicine. 136. 156256–156256. 3 indexed citations
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Cheng, Yan, Jiayuan Chen, Tingting Li, et al.. (2022). Maternal vitamin D status in early pregnancy and its association with gestational diabetes mellitus in Shanghai: a retrospective cohort study. BMC Pregnancy and Childbirth. 22(1). 819–819. 12 indexed citations
5.
Xia, Xianfeng, et al.. (2019). Obstetric factors for maternal depression/anxiety. Zhonghua weichan yixue zazhi. 22(3). 180–185. 1 indexed citations
6.
Bai, Jin, et al.. (2018). Spexin as a neuroendocrine signal with emerging functions. General and Comparative Endocrinology. 265. 90–96. 58 indexed citations
7.
Lin, Chengyuan, Jin Bai, Mulan He, & Aol Wong. (2018). Grass Carp Prolactin Gene: Structural Characterization and Signal Transduction for PACAP-induced Prolactin Promoter Activity. Scientific Reports. 8(1). 4655–4655. 5 indexed citations
8.
Jiang, Quan, Jin Bai, Mulan He, Karen Wing Yee Yuen, & Aol Wong. (2018). Mechanisms Underlying the Synergistic Action of Insulin and Growth Hormone on IGF-I and -II Expression in Grass Carp Hepatocytes. Frontiers in Endocrinology. 9. 336–336. 5 indexed citations
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Zhang, Qingying, Mulan He, Jue Wang, et al.. (2015). Predicting of disease genes for gestational diabetes mellitus based on network and functional consistency. European Journal of Obstetrics & Gynecology and Reproductive Biology. 186. 91–96. 7 indexed citations
11.
Hu, Guangfu, Chengyuan Lin, Mulan He, & Aol Wong. (2014). Neurokinin B and reproductive functions: “KNDy neuron” model in mammals and the emerging story in fish. General and Comparative Endocrinology. 208. 94–108. 36 indexed citations
12.
Sun, Caiyun, Mulan He, Wendy K. W. Ko, & Aol Wong. (2013). Gene expression of luteinizing hormone receptor in carp somatotrophs differentially regulated by local action of gonadotropin and dopamine D1 receptor activation. Molecular and Cellular Endocrinology. 374(1-2). 22–34. 7 indexed citations
13.
He, Mulan, Wenjuan Liu, Hai‐Ying Sun, et al.. (2011). Effects of ion channels on proliferation in cultured human cardiac fibroblasts. Journal of Molecular and Cellular Cardiology. 51(2). 198–206. 28 indexed citations
14.
Hu, Rui, Mulan He, Hao Hu, et al.. (2009). Characterization of calcium signaling pathways in human preadipocytes. Journal of Cellular Physiology. 220(3). 765–770. 35 indexed citations
15.
Stojilković, Stanko S., Mulan He, Taka‐aki Koshimizu, Aleš Balík, & Hana Zemková. (2009). Signaling by purinergic receptors and channels in the pituitary gland. Molecular and Cellular Endocrinology. 314(2). 184–191. 18 indexed citations
16.
Jiang, Quan, Mulan He, Xinyan Wang, & Aol Wong. (2008). Grass carp somatolactin: II. Pharmacological study on postreceptor signaling mechanisms for PACAP-induced somatolactin-α and -β gene expression. American Journal of Physiology-Endocrinology and Metabolism. 295(2). E477–E490. 29 indexed citations
17.
Hu, Hao, Mulan He, Rong Tao, et al.. (2008). Characterization of ion channels in human preadipocytes. Journal of Cellular Physiology. 218(2). 427–435. 29 indexed citations
18.
He, Mulan, Arturo E. González-Iglesias, Melanija Tomić, & Stanko S. Stojilković. (2005). Release and extracellular metabolism of ATP by ecto-nucleotidase eNTPDase 1–2 in hypothalamic and pituitary cells. Purinergic Signalling. 1(2). 135–44. 31 indexed citations
19.
Tomić, Melanija, Fredrick Van Goor, Mulan He, Dragoslava Živadinović, & Stanko S. Stojilković. (2002). Ca2+-Mobilizing Endothelin-A Receptors Inhibit Voltage-Gated Ca2+ Influx through Gi/oSignaling Pathway in Pituitary Lactotrophs. Molecular Pharmacology. 61(6). 1329–1339. 17 indexed citations
20.
He, Mulan, Taka‐aki Koshimizu, Melanija Tomić, & Stanko S. Stojilković. (2002). Purinergic P2X2 Receptor Desensitization Depends on Coupling between Ectodomain and C-Terminal Domain. Molecular Pharmacology. 62(5). 1187–1197. 29 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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