Wei Gan

4.8k total citations
70 papers, 1.7k citations indexed

About

Wei Gan is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Wei Gan has authored 70 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Genetics and 9 papers in Surgery. Recurrent topics in Wei Gan's work include Genetic Associations and Epidemiology (9 papers), DNA Repair Mechanisms (7 papers) and Diet and metabolism studies (4 papers). Wei Gan is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), DNA Repair Mechanisms (7 papers) and Diet and metabolism studies (4 papers). Wei Gan collaborates with scholars based in China, United Kingdom and United States. Wei Gan's co-authors include Ling Lu, Jian‐Ping Cai, Ruth J. F. Loos, Huaixing Li, Mutsuo Sekiguchi, Hiroshi Hayakawa, Jingwen Zhu, Ben Nie, Fei Shi and Qibin Qi and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Wei Gan

66 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Gan China 20 550 261 175 169 169 70 1.7k
Hong Yan China 29 1.1k 2.1× 123 0.5× 239 1.4× 158 0.9× 119 0.7× 139 2.4k
Dan Liao China 21 405 0.7× 85 0.3× 196 1.1× 123 0.7× 140 0.8× 55 1.4k
Satoshi Asai Japan 24 628 1.1× 178 0.7× 192 1.1× 211 1.2× 200 1.2× 143 1.8k
Abdelkrim Khadir Kuwait 21 415 0.8× 100 0.4× 299 1.7× 201 1.2× 213 1.3× 40 1.2k
Christoph Sachse Germany 22 1.1k 2.1× 362 1.4× 220 1.3× 149 0.9× 137 0.8× 32 3.3k
Ya-Ching Hsieh United States 23 610 1.1× 215 0.8× 116 0.7× 341 2.0× 123 0.7× 27 1.7k
Satoko Hori Japan 28 771 1.4× 97 0.4× 210 1.2× 142 0.8× 102 0.6× 155 2.5k
Xiaoyan Shi China 26 795 1.4× 119 0.5× 223 1.3× 176 1.0× 84 0.5× 110 2.3k
Wanda M. Krajewska Poland 23 661 1.2× 272 1.0× 158 0.9× 55 0.3× 99 0.6× 92 1.6k

Countries citing papers authored by Wei Gan

Since Specialization
Citations

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

Fields of papers citing papers by Wei Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Gan. A scholar is included among the top collaborators of Wei Gan 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 Wei Gan. Wei Gan 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.
Liang, Shanshan, et al.. (2025). Challenges in LDL-C measurement in lipemic specimens: a comparative evaluation of four homogeneous assays. Clinica Chimica Acta. 579. 120607–120607.
2.
Qian, Chenchen, Yong Xu, Zhe Wang, et al.. (2025). Intestinal Epithelial‐Derived USP13 Alleviates Colonic Inflammation by Suppressing GRP78‐mediated Endoplasmic Reticulum Stress. Advanced Science. 12(38). e00741–e00741.
3.
Low, Chai L., Wei Gan, Silvia Lai, et al.. (2025). Critical updates on oral insulin drug delivery systems for type 2 diabetes mellitus. Journal of Nanobiotechnology. 23(1). 16–16. 10 indexed citations
4.
Climente-González, Héctor, Min Oh, Urszula Chajewska, et al.. (2025). Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification. Communications Medicine. 5(1). 170–170. 2 indexed citations
5.
Sakai, Naomi, Roxanna Zakeri, Janine Makaronidis, et al.. (2023). Weight-loss Independent Clinical and Metabolic Biomarkers Associated with Type 2 Diabetes Remission Post-bariatric/metabolic Surgery. Obesity Surgery. 33(12). 3988–3998. 3 indexed citations
6.
Clarke, Robert, Neil Wright, Robin Walters, et al.. (2023). Genetically Predicted Differences in Systolic Blood Pressure and Risk of Cardiovascular and Noncardiovascular Diseases: A Mendelian Randomization Study in Chinese Adults. Hypertension. 80(3). 566–576. 11 indexed citations
8.
Sun, Bao‐Ye, Zhangfu Yang, Zhu-Tao Wang, et al.. (2023). Integrative analyses identify CD73 as a prognostic biomarker and immunotherapeutic target in intrahepatic cholangiocarcinoma. World Journal of Surgical Oncology. 21(1). 90–90. 13 indexed citations
9.
Zhang, Zengrong, Mohan Qiu, Huarui Du, et al.. (2020). Small RNA sequencing reveals miRNAs important for hypoxic adaptation in the Tibetan chicken. British Poultry Science. 61(6). 632–639. 4 indexed citations
10.
Liu, Xin, Hao Lai, Baibing Mi, et al.. (2020). Associations of Coarse Grain Intake with Undiagnosed Hypertension among Chinese Adults: Results from the China Kadoorie Biobank. Nutrients. 12(12). 3814–3814. 12 indexed citations
11.
Liu, Xin, Wei Gan, Xin Qi, et al.. (2018). The independent associations of protein consumption with body fat and glycaemic control in adult Chinese. European Journal of Nutrition. 58(5). 1981–1990. 6 indexed citations
12.
Gan, Wei, Robin Walters, Michael V. Holmes, et al.. (2016). Evaluation of type 2 diabetes genetic risk variants in Chinese adults: findings from 93,000 individuals from the China Kadoorie Biobank. Diabetologia. 59(7). 1446–1457. 32 indexed citations
13.
Liu, Xinle, Wei Gan, Yuangao Zou, et al.. (2015). Elevated Levels of Urinary Markers of Oxidative DNA and RNA Damage in Type 2 Diabetes with Complications. Oxidative Medicine and Cellular Longevity. 2016(1). 4323198–4323198. 42 indexed citations
14.
Ye, Xingwang, Geng Zong, Xin Liu, et al.. (2014). Development of a New Risk Score for Incident Type 2 Diabetes Using Updated Diagnostic Criteria in Middle-Aged and Older Chinese. PLoS ONE. 9(5). e97042–e97042. 14 indexed citations
15.
Zhu, Jingwen, Geng Zong, Ling Lu, et al.. (2014). Association of genetic predisposition to obesity with type 2 diabetes risk in Han Chinese individuals. Diabetologia. 57(9). 1830–1833. 16 indexed citations
16.
Wei, Lihui, Corinne Bensimon, Julia Lockwood, et al.. (2014). Characterization of the four isomers of 123I-CMICE-013: A potential SPECT myocardial perfusion imaging agent. Bioorganic & Medicinal Chemistry. 22(7). 2033–2044. 5 indexed citations
17.
Shi, Fei, Wei Gan, Ben Nie, et al.. (2012). Greater nucleic acids oxidation in the temporal lobe than the frontal lobe in SAMP8. Neuroreport. 23(8). 508–512. 1 indexed citations
18.
Gan, Wei, Yu Guan, Qian Wu, et al.. (2012). Association of TMPRSS6 polymorphisms with ferritin, hemoglobin, and type 2 diabetes risk in a Chinese Han population. American Journal of Clinical Nutrition. 95(3). 626–632. 50 indexed citations
20.
Chen, Liu, Huaixing Li, Lu Qi, et al.. (2011). Variants in GLIS3 and CRY2 Are Associated with Type 2 Diabetes and Impaired Fasting Glucose in Chinese Hans. PLoS ONE. 6(6). e21464–e21464. 53 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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