Vin‐Cent Wu

15.0k total citations
401 papers, 8.1k citations indexed

About

Vin‐Cent Wu is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Nephrology. According to data from OpenAlex, Vin‐Cent Wu has authored 401 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 184 papers in Surgery, 183 papers in Endocrinology, Diabetes and Metabolism and 123 papers in Nephrology. Recurrent topics in Vin‐Cent Wu's work include Hormonal Regulation and Hypertension (163 papers), Adrenal and Paraganglionic Tumors (115 papers) and Acute Kidney Injury Research (86 papers). Vin‐Cent Wu is often cited by papers focused on Hormonal Regulation and Hypertension (163 papers), Adrenal and Paraganglionic Tumors (115 papers) and Acute Kidney Injury Research (86 papers). Vin‐Cent Wu collaborates with scholars based in Taiwan, United States and United Kingdom. Vin‐Cent Wu's co-authors include Kwan‐Dun Wu, Yen‐Hung Lin, Yung‐Ming Chen, Shih‐Chieh Chueh, Tzong‐Shinn Chu, Shuei‐Liong Lin, Tao‐Min Huang, Chih‐Chung Shiao, Pei‐Chen Wu and Wen‐Je Ko and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Vin‐Cent Wu

378 papers receiving 8.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vin‐Cent Wu Taiwan 47 3.1k 2.8k 2.6k 1.4k 1.1k 401 8.1k
Jan T. Kielstein Germany 55 1.4k 0.5× 515 0.2× 3.6k 1.4× 2.6k 1.8× 1.5k 1.4× 278 10.2k
Michael Joannidis Austria 51 2.1k 0.7× 907 0.3× 4.2k 1.6× 974 0.7× 1.0k 1.0× 256 9.9k
Hiromichi Suzuki Japan 43 1.1k 0.3× 2.1k 0.7× 2.1k 0.8× 2.9k 2.0× 1.4k 1.3× 408 8.5k
Adrian Covic Romania 55 2.1k 0.7× 772 0.3× 5.3k 2.1× 1.8k 1.2× 724 0.7× 314 9.4k
Tae‐Hyun Yoo South Korea 45 1.1k 0.3× 1.0k 0.4× 4.4k 1.7× 1.1k 0.8× 1.6k 1.5× 371 8.6k
Jean‐Charles Preiser Belgium 53 2.3k 0.7× 4.0k 1.4× 651 0.3× 1.2k 0.8× 1.0k 0.9× 220 12.5k
Uwe Heemann Germany 54 2.8k 0.9× 554 0.2× 1.8k 0.7× 1.1k 0.8× 1.3k 1.2× 388 9.5k
An S. De Vriese Belgium 50 1.4k 0.4× 648 0.2× 3.5k 1.4× 1.3k 0.9× 2.0k 1.9× 173 8.9k
Richard P. Steeds United Kingdom 48 1.3k 0.4× 929 0.3× 785 0.3× 4.1k 2.8× 589 0.5× 297 7.5k
Andrzej Więcek Poland 38 1.2k 0.4× 966 0.3× 1.9k 0.7× 1.5k 1.0× 1000 0.9× 482 7.6k

Countries citing papers authored by Vin‐Cent Wu

Since Specialization
Citations

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

Fields of papers citing papers by Vin‐Cent Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vin‐Cent Wu. 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 Vin‐Cent Wu. The network helps show where Vin‐Cent Wu may publish in the future.

Co-authorship network of co-authors of Vin‐Cent Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Vin‐Cent Wu. A scholar is included among the top collaborators of Vin‐Cent Wu 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 Vin‐Cent Wu. Vin‐Cent Wu 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.
2.
Chuang, Min‐Hsiang, et al.. (2025). Clinical outcomes after immune checkpoint inhibitor-associated acute kidney injury: a cohort study. BMJ Open. 15(2). e092752–e092752.
3.
Luyckx, Valérie A., Kate Wiles, Rajasekara Chakravarthi, et al.. (2025). Incidence of pregnancy-associated acute kidney injury in low- and middle-income countries: a meta-analysis. Bulletin of the World Health Organization. 103(8). 493–506.
4.
5.
Shao, Yu‐Hsuan Joni, Yi‐Cheng Chang, Yu‐Hsiang Chou, et al.. (2025). Unveiling the Causal Relationship between Thyroid and Kidney Function. Clinical Journal of the American Society of Nephrology. 20(7). 922–930.
6.
Lin, Liang‐Yu, Yen‐Hung Lin, Shih‐Chieh Chueh, et al.. (2025). Universal Screening for Primary Aldosteronism in Hypertensive Patients: A 2025 Taipei Positional Paper. Journal of Clinical Hypertension. 27(9). e70102–e70102.
7.
Chen, Jui‐Yi, et al.. (2024). Distinct phenotyping of critical patients with demand-capacity imbalance initiating acute renal replacement therapy by consensus clustering. Journal of the Formosan Medical Association. 124(11). 1018–1026.
8.
Wang, Wei‐Ting, Leay‐Kiaw Er, Chien‐Wei Huang, et al.. (2024). Recent progress in unraveling cardiovascular complications associated with primary aldosteronism: a succinct review. Hypertension Research. 47(5). 1103–1119. 5 indexed citations
9.
Chen, Jui‐Yi, et al.. (2024). The outcomes of SGLT-2 inhibitor utilization in diabetic kidney transplant recipients. Nature Communications. 15(1). 10043–10043. 14 indexed citations
10.
Pan, Szu‐Yu, Yi-Chan Lin, Huiting Liu, et al.. (2024). The effects of double-filtration plasmapheresis on coagulation profiles and the risk of bleeding. Journal of the Formosan Medical Association. 123(8). 899–903. 1 indexed citations
11.
Chang, Yu‐Ling, Guan‐Yuan Chen, Bo‐Ching Lee, et al.. (2023). Optimizing adrenal vein sampling in primary aldosteronism subtyping through LC–MS/MS and secretion ratios of aldosterone, 18-oxocortisol, and 18-hydroxycortisol. Hypertension Research. 46(8). 1983–1994. 6 indexed citations
12.
Tsai, Meng‐Han, Meng‐Fai Kuo, Vin‐Cent Wu, et al.. (2023). Mir125b-2 imprinted in human but not mouse brain regulates hippocampal function and circuit in mice. Communications Biology. 6(1). 267–267. 5 indexed citations
13.
Pan, Heng‐Chih, Vin‐Cent Wu, Min‐Hsiang Chuang, et al.. (2023). Acute kidney injury in patients with COVID-19 compared to those with influenza: a systematic review and meta-analysis. Frontiers in Medicine. 10. 1252990–1252990. 5 indexed citations
14.
Wu, Vin‐Cent, et al.. (2023). Risk Factor Analysis of Hospital Readmissions at St. Petersburg General Hospital. HCA Healthcare Journal of Medicine. 4(1). 35–42.
15.
Liu, Heli, et al.. (2022). Industry 4.0 in Metal Forming Industry Towards Automotive Applications: A Review. 2–2. 14 indexed citations
16.
Liao, Hung‐Wei, et al.. (2021). Characteristics and Outcomes in Primary Aldosteronism Patients Harboring Glucocorticoid-Remediable Aldosteronism. Biomedicines. 9(12). 1816–1816. 4 indexed citations
17.
Chang, Chin‐Chen, Yung‐Ming Chen, Tai‐Shuan Lai, et al.. (2020). Taiwan mini-frontier of primary aldosteronism: Updating detection and diagnosis. Journal of the Formosan Medical Association. 120(1). 121–129. 8 indexed citations
18.
Kao, Tze‐Wah, et al.. (2014). A case of anaphylactic shock induced by FX60 polysulfone hemodialyzer but not F6‐HPS polysulfone hemodialyzer. Hemodialysis International. 18(4). 841–845. 8 indexed citations
19.
Mooney, John, Isuru Ranasinghe, Clara K Chow, et al.. (2013). Preoperative Estimates of Glomerular Filtration Rate as Predictors of Outcome after Surgery. Anesthesiology. 118(4). 809–824. 70 indexed citations
20.
Wu, Vin‐Cent, Shyh‐Chyi Lo, Yuh‐Lien Chen, et al.. (2011). Endothelial Progenitor Cells in Primary Aldosteronism: A Biomarker of Severity for Aldosterone Vasculopathy and Prognosis. The Journal of Clinical Endocrinology & Metabolism. 96(10). 3175–3183. 65 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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