Kan Deng

2.4k total citations
134 papers, 1.5k citations indexed

About

Kan Deng is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Kan Deng has authored 134 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Endocrinology, Diabetes and Metabolism, 50 papers in Surgery and 24 papers in Genetics. Recurrent topics in Kan Deng's work include Pituitary Gland Disorders and Treatments (90 papers), Growth Hormone and Insulin-like Growth Factors (51 papers) and Adrenal and Paraganglionic Tumors (35 papers). Kan Deng is often cited by papers focused on Pituitary Gland Disorders and Treatments (90 papers), Growth Hormone and Insulin-like Growth Factors (51 papers) and Adrenal and Paraganglionic Tumors (35 papers). Kan Deng collaborates with scholars based in China, United States and United Kingdom. Kan Deng's co-authors include Yong Yao, Renzhi Wang, Bing Xing, Andrew Moore, Wei Lian, Ming Feng, Xinjie Bao, Xiaopeng Guo, Lu Gao and Zihao Wang and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Endocrinology.

In The Last Decade

Kan Deng

121 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kan Deng China	22	820	440	294	290	228	134	1.5k
Georgios Z. Papadakis United States	20	232 0.3×	250 0.6×	282 1.0×	51 0.2×	124 0.5×	83	1.6k
Beom Hee Lee South Korea	27	229 0.3×	253 0.6×	221 0.8×	105 0.4×	1.1k 4.7×	251	2.7k
Toshiyuki Yasuda Japan	21	332 0.4×	209 0.5×	77 0.3×	73 0.3×	721 3.2×	107	1.6k
Tomohiro Harada Japan	16	130 0.2×	149 0.3×	391 1.3×	20 0.1×	183 0.8×	123	1.5k
Noriaki Sakamoto Japan	18	63 0.1×	288 0.7×	143 0.5×	303 1.0×	191 0.8×	118	1.2k
Darya Chudova United States	16	1.0k 1.2×	577 1.3×	137 0.5×	52 0.2×	661 2.9×	64	3.1k
Anna Guerra Italy	24	876 1.1×	184 0.4×	70 0.2×	17 0.1×	289 1.3×	89	2.1k
Hiroshi Wakabayashi Japan	20	88 0.1×	215 0.5×	103 0.4×	33 0.1×	135 0.6×	153	1.4k
Qing Guan China	17	243 0.3×	243 0.6×	130 0.4×	12 0.0×	272 1.2×	46	1.1k
Christian Schaefer Germany	25	63 0.1×	459 1.0×	111 0.4×	40 0.1×	370 1.6×	120	1.9k

Countries citing papers authored by Kan Deng

Since Specialization

Citations

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

Fields of papers citing papers by Kan Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kan Deng

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mao, Xinxin, Yong Yao, Kan Deng, et al.. (2025). Silent growth hormone pituitary adenomas: a single-center study. Pituitary. 28(5). 99–99.

Li, Jianping, et al.. (2025). Assessment of the efficacy and prognostic value of 18F-FDG PET-CT using deauville 5-point scale and ΔSUVmax methods in diffuse large B-cell lymphoma patients. Medicine. 104(36). e44067–e44067.

Wang, Linhui, et al.. (2024). Systemic lupus erythematosus-related brain abnormalities in the default mode network and the limbic system: A resting-state fMRI meta-analysis. Journal of Affective Disorders. 355. 190–199. 5 indexed citations

Yao, Yong, Kan Deng, Wei Lian, et al.. (2024). Somatic GNAS mutations in acromegaly: prevalence, clinical features and gender differences. Endocrine Connections. 14(1).

Huang, Alex Q., Yuhao Lin, Linhui Wang, et al.. (2024). Microstructural changes of the white matter in systemic lupus erythematosus patients without neuropsychiatric symptoms: a multi-shell diffusion imaging study. Arthritis Research & Therapy. 26(1). 110–110. 1 indexed citations

Wang, Yawen, Lian Duan, Yong Yao, et al.. (2023). Diagnosis and Management of Idiopathic Hypothalamic Dysfunction: A Case Series and Systematic Review. Neuroendocrinology. 113(5). 479–488.

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

Liu, Zeyu, Bo Hou, Hui You, et al.. (2023). Three‐Dimensional Fast Spin Echo Pituitary MRI in Treatment‐Naïve Cushing's Disease: Reduced Impact of Reader Experience and Increased Diagnostic Accuracy. Journal of Magnetic Resonance Imaging. 59(6). 2115–2123. 3 indexed citations

Wang, Linjie, Hongbo Yang, Yong Yao, et al.. (2023). Safety of pregnancy in acromegaly patients and maternal and infant outcomes after pregnancy: single-center experience from China and review of the literature. BMC Endocrine Disorders. 23(1). 104–104. 1 indexed citations

10.

Jiang, Jun, et al.. (2023). The efficacy of preoperative MRI features in the diagnosis of meningioma WHO grade and brain invasion. Frontiers in Oncology. 12. 1100350–1100350. 4 indexed citations

11.

Chen, Kang, Yong Yao, Xinxin Mao, et al.. (2022). Sellar germinoma mimicking IgG4-related hypophysitis: a case report. BMC Endocrine Disorders. 22(1). 23–23. 3 indexed citations

12.

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

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.

Zhu, Jianyu, Yi Zhang, Jie Liu, et al.. (2020). Suprasellar pituitary adenomas: a 10-year experience in a single tertiary medical center and a literature review. Pituitary. 23(4). 367–380. 9 indexed citations

15.

Liu, Xiao-Hai, Ming Feng, Congxin Dai, et al.. (2020). Internal carotid artery injury in the endoscopic transsphenoidal surgery for pituitary adenoma: an uncommon case and literature review. Gland Surgery. 9(4). 1036–1041. 5 indexed citations

16.

Liu, Yang, Linjie Wang, Wen Zhang, et al.. (2018). Hypophyseal Involvement in Immunoglobulin G4-Related Disease: A Retrospective Study from a Single Tertiary Center. International Journal of Endocrinology. 2018. 1–9. 13 indexed citations

17.

Liu, Xiao-Hai, Lu Gao, Xiaopeng Guo, et al.. (2017). Risk Factors and Microbiology of Meningitis and/or Bacteremia After Transsphenoidal Surgery for Pituitary Adenoma. World Neurosurgery. 110. e851–e863. 20 indexed citations

18.

Xing, Bing, Renzhi Wang, Wei Lian, Yong Yao, & Kan Deng. (2014). Diagnosis and treatment characteristics of patients with pituitary adenomas having onset symptom of hyponatremia. Chinese Journal of Neuromedicine. 13(6). 627–629. 2 indexed citations

19.

Moore, Andrew, Jeff Schneider, & Kan Deng. (1997). Efficient Locally Weighted Polynomial Regression Predictions. International Conference on Machine Learning. 236–244. 71 indexed citations

20.

Deng, Kan & Andrew Moore. (1995). Multiresolution instance-based learning. International Joint Conference on Artificial Intelligence. 1233–1239. 52 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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