Hui Pan

5.6k total citations · 1 hit paper
267 papers, 3.9k citations indexed

About

Hui Pan is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology. According to data from OpenAlex, Hui Pan has authored 267 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Endocrinology, Diabetes and Metabolism, 62 papers in Molecular Biology and 47 papers in Physiology. Recurrent topics in Hui Pan's work include Growth Hormone and Insulin-like Growth Factors (64 papers), Pituitary Gland Disorders and Treatments (36 papers) and Lipid metabolism and disorders (24 papers). Hui Pan is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (64 papers), Pituitary Gland Disorders and Treatments (36 papers) and Lipid metabolism and disorders (24 papers). Hui Pan collaborates with scholars based in China, United States and Hong Kong. Hui Pan's co-authors include Huijuan Zhu, Fengying Gong, Hongbo Yang, Linjie Wang, Shi Chen, Huijuan Zhu, Lloyd D. Fricker, Naishi Li, Fa‐Yun Che and Jihyeon Lim and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Hui Pan

246 papers receiving 3.8k citations

Hit Papers

Association between estimated glucose disposal rate and c... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui Pan China 33 1.0k 703 588 524 503 267 3.9k
Nader D. Nader United States 43 1.5k 1.5× 585 0.8× 814 1.4× 1.3k 2.6× 511 1.0× 348 7.8k
Xiao Xiao China 36 1.2k 1.2× 290 0.4× 485 0.8× 475 0.9× 355 0.7× 216 5.2k
Mark D. Johnson United States 40 2.1k 2.1× 412 0.6× 596 1.0× 836 1.6× 727 1.4× 157 6.0k
Do‐Hoon Kim South Korea 46 1.6k 1.6× 530 0.8× 1.4k 2.4× 726 1.4× 805 1.6× 254 7.0k
Yi Wang China 32 1.1k 1.1× 283 0.4× 393 0.7× 371 0.7× 522 1.0× 251 3.9k
Gerald Liew Australia 51 1.6k 1.6× 453 0.6× 319 0.5× 227 0.4× 642 1.3× 206 9.2k
Fu‐Tien Chiang Taiwan 41 1.8k 1.8× 893 1.3× 373 0.6× 794 1.5× 492 1.0× 247 5.8k
Jing Li China 34 1.7k 1.7× 339 0.5× 1.2k 2.0× 656 1.3× 540 1.1× 344 5.7k
Susumu Suzuki Japan 43 1.6k 1.6× 698 1.0× 1.2k 2.0× 1.2k 2.3× 506 1.0× 279 6.5k
Wolfgang Lieb Germany 44 1.4k 1.4× 698 1.0× 1.2k 2.0× 737 1.4× 1.1k 2.1× 193 6.3k

Countries citing papers authored by Hui Pan

Since Specialization
Citations

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

Fields of papers citing papers by Hui Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Pan. A scholar is included among the top collaborators of Hui Pan 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 Hui Pan. Hui Pan 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.
Lu, Yixin, Xiaoxue Chen, Lian Duan, et al.. (2025). Hyperprolactinemia caused by extra-pituitary prolactin secretion: a systematic review. Endocrine Connections. 14(7). 1 indexed citations
3.
Duan, Lian, Hongbo Yang, Fengying Gong, et al.. (2024). Clinical Characteristics and Outcomes of Prolactinomas in Children and Adolescents: A Large Retrospective Cohort Study. The Journal of Clinical Endocrinology & Metabolism. 109(9). e1741–e1749.
4.
Yang, Hongbo, Lingjuan Jiang, Linjie Wang, et al.. (2024). High-coverage targeted lipidomics revealed a novel serum lipid dysregulation profile in adult growth hormone deficiency. Endocrine Connections. 14(1).
5.
Wang, Linjie, Lian Duan, Hongbo Yang, et al.. (2023). Comparison of PEG precipitation and ultrafiltration treatment for serum macroprolactin in Chinese patients with hyperprolactinemia. Clinica Chimica Acta. 544. 117358–117358. 2 indexed citations
6.
Jiao, Rui, Yi Wang, Bai Xue, et al.. (2023). Incidence and risk factors of cancers in acromegaly: a Chinese single-center retrospective study. Endocrine. 82(2). 368–378. 6 indexed citations
7.
Song, An, Fengying Gong, Yan Jiang, et al.. (2023). Explorative research on glucolipid metabolism and levels of adipokines in pseudohypoparathyroidism type 1 patients. Orphanet Journal of Rare Diseases. 18(1). 367–367.
8.
Song, Yuyao, et al.. (2021). Association of thyroid autoimmunity and the response to recombinant human growth hormone in Turner syndrome. Journal of Pediatric Endocrinology and Metabolism. 34(4). 465–471.
9.
Liu, Lu, Jingchao Sun, Yan Pei, et al.. (2020). Diagnosis and Knowledge Discovery of Turner Syndrome Based on Facial Images Using Machine Learning Methods. IEEE Access. 8. 214866–214881. 3 indexed citations
10.
Zhu, Jianyu, Yi Zhang, Jie Liu, et al.. (2020). Ectopic pituitary adenomas: clinical features, diagnostic challenges and management. Pituitary. 23(6). 648–664. 18 indexed citations
11.
Kou, Shuang, Mei Zhang, Baolan Ji, et al.. (2020). Association between systolic blood pressure and uric acid in Chinese children and adolescents with idiopathic short stature: a cross-sectional study. Journal of Human Hypertension. 35(5). 472–478. 2 indexed citations
12.
Yuan, Yang, et al.. (2020). Novel p.G1344E mutation in FBN1 is associated with ectopia lentis. British Journal of Ophthalmology. 105(3). 341–347. 7 indexed citations
13.
Duan, Lian, Fengying Gong, Yuelun Zhang, et al.. (2020). Serum Levels of Asprosin, a Novel Adipokine, Are Significantly Lowered in Patients with Acromegaly. International Journal of Endocrinology. 2020. 1–10. 10 indexed citations
14.
Zhang, Shengyu, Xi Wu, Hui Pan, et al.. (2020). Gastrointestinal endoscopy infection control strategy during COVID‐19 pandemic: Experience from a tertiary medical center in China. Digestive Endoscopy. 33(4). 577–586. 5 indexed citations
15.
Zhu, Huijuan, Hui Pan, Hong Yang, et al.. (2019). Comparative Proteome Analysis of Epicardial and Subcutaneous Adipose Tissues from Patients with or without Coronary Artery Disease. International Journal of Endocrinology. 2019. 1–11. 10 indexed citations
16.
Miao, Hui, Hui Pan, Hongbo Yang, et al.. (2019). Clinical characteristics of pseudoachondroplasia and analysis of COMP gene mutation. Zhonghua neifenmi daixie zazhi. 35(12). 1006–1013. 1 indexed citations
18.
Ban, Bo, et al.. (2014). Etiologic and diagnostic analysis of 270 children with short stature in China Jining region. 2(2). 100–104. 1 indexed citations
19.
Zhu, Huijuan, Ou Wang, Mei Li, et al.. (2011). Generalized glucocorticoid resistance accompanied with an adrenocortical adenoma and caused by a novel point mutation of human glucocorticoid receptor gene.. PubMed. 124(4). 551–5. 22 indexed citations
20.
Pan, Hui. (2004). Study on the Thermaturic Neutral Proteinase of a Thermophilic Bacillus. Arid Zone Research. 1 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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