Weiming Kang

2.6k total citations · 1 hit paper
127 papers, 1.9k citations indexed

About

Weiming Kang is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Weiming Kang has authored 127 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Pulmonary and Respiratory Medicine, 40 papers in Surgery and 31 papers in Molecular Biology. Recurrent topics in Weiming Kang's work include Gastric Cancer Management and Outcomes (42 papers), Gastrointestinal Tumor Research and Treatment (18 papers) and Metastasis and carcinoma case studies (16 papers). Weiming Kang is often cited by papers focused on Gastric Cancer Management and Outcomes (42 papers), Gastrointestinal Tumor Research and Treatment (18 papers) and Metastasis and carcinoma case studies (16 papers). Weiming Kang collaborates with scholars based in China, Canada and United Kingdom. Weiming Kang's co-authors include Jianchun Yu, Zhiqiang Ma, Guang‐Fu Yang, Ponnam Devendar, Ren‐Yu Qu, Bo He, Yuqin Liu, Shu-bo Tian, Ziyang Zeng and Yakai Huang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Weiming Kang

118 papers receiving 1.9k citations

Hit Papers

Palladium-Catalyzed Cross-Coupling Reactions: A Powerful ... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiming Kang China 23 520 505 497 326 287 127 1.9k
Yuji Shishido Japan 25 461 0.9× 326 0.6× 464 0.9× 176 0.5× 255 0.9× 115 1.7k
Suzhan Zhang China 27 271 0.5× 267 0.5× 893 1.8× 259 0.8× 491 1.7× 89 2.3k
Hirokazu Taniguchi Japan 30 553 1.1× 565 1.1× 1.4k 2.9× 67 0.2× 431 1.5× 140 3.4k
Shinya Abe Japan 23 335 0.6× 179 0.4× 718 1.4× 154 0.5× 135 0.5× 90 1.9k
Patrick L. Coleman United States 21 209 0.4× 207 0.4× 494 1.0× 83 0.3× 349 1.2× 41 1.7k
Wieland Voigt Germany 21 278 0.5× 300 0.6× 720 1.4× 133 0.4× 127 0.4× 61 1.6k
Yukio Morishita Japan 23 343 0.7× 385 0.8× 768 1.5× 42 0.1× 243 0.8× 97 2.0k
Yih‐Huei Uen Taiwan 28 447 0.9× 408 0.8× 774 1.6× 38 0.1× 401 1.4× 69 1.8k
José Luís Zamora Manzano Spain 26 557 1.1× 254 0.5× 890 1.8× 58 0.2× 421 1.5× 106 2.2k
Marek Majewski Poland 15 360 0.7× 234 0.5× 215 0.4× 142 0.4× 80 0.3× 57 1.1k

Countries citing papers authored by Weiming Kang

Since Specialization
Citations

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

Fields of papers citing papers by Weiming Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiming Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Weiming Kang. A scholar is included among the top collaborators of Weiming Kang 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 Weiming Kang. Weiming Kang 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.
Yang, Sen, et al.. (2025). Biomarker-based and interpretable machine learning framework for predicting pathological stage in gastric cancer: A retrospective analysis. Digital Health. 11. 610032106–610032106. 1 indexed citations
2.
Kerdsin, Anusak, Jianping Wang, Mingliu Wang, et al.. (2025). Streptococcus suis serotype 5: Emerging zoonotic threat with distinct genomic heterogeneity. Virulence. 16(1). 2523882–2523882. 1 indexed citations
3.
Peng, Hui, Yin Wang, Sheng Wei, et al.. (2024). Trends and projections of Hepatitis A incidence in eastern China from 2007 to 2021: an age-period-cohort analysis. Frontiers in Public Health. 12. 1476748–1476748. 1 indexed citations
4.
Li, Jie, et al.. (2024). Identification and validation of protein biomarkers for predicting gastrointestinal stromal tumor recurrence. Computational and Structural Biotechnology Journal. 23. 1065–1075. 1 indexed citations
5.
Li, Jie, Juan Sun, Ziyang Zeng, et al.. (2023). Tumour‐associated macrophages in gastric cancer: From function and mechanism to application. Clinical and Translational Medicine. 13(8). e1386–e1386. 39 indexed citations
7.
Zhang, Yingjing, et al.. (2023). Comparison of the predictive value of pathological response at primary tumor and lymph node status after neoadjuvant chemotherapy in locally advanced gastric cancer. Clinical & Translational Oncology. 25(8). 2462–2471. 5 indexed citations
8.
Li, Kang, Ziyang Zeng, Zimu Zhang, et al.. (2023). Comparisons of nutritional status and complications between patients with and without postoperative feeding jejunostomy tube in gastric cancer: a retrospective study. Journal of Gastrointestinal Oncology. 14(1). 97–109. 6 indexed citations
9.
Jiang, Lin, Yingjing Zhang, Yu Tian, et al.. (2023). Perioperative chemotherapy versus adjuvant chemotherapy treatment for resectable locally advanced gastric cancer: a retrospective cohort study. European journal of medical research. 28(1). 409–409. 2 indexed citations
10.
Liu, Xiao, et al.. (2022). Risk factors for cancer-specific survival in elderly gastric cancer patients after curative gastrectomy. Nutrition Research and Practice. 16(5). 604–604. 2 indexed citations
11.
Kang, Weiming, et al.. (2022). Research Advances in the Role of Keratins in Gastrointestinal Cancer. Chinese Medical Sciences Journal. 37(1). 73–78. 3 indexed citations
12.
Jiang, Lin, Zhiqiang Ma, Xin Ye, Weiming Kang, & Jianchun Yu. (2021). Clinicopathological factors affecting the effect of neoadjuvant chemotherapy in patients with gastric cancer. World Journal of Surgical Oncology. 19(1). 25 indexed citations
13.
Liu, Yang, Xue Zhang, Yu J, et al.. (2020). Risk Factors for Postoperative Infectious Complications in Elderly Patients with Gastric Cancer. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Kang, Weiming, Lu Dai, Zongke Zhou, et al.. (2019). Postoperative analgesic effects of various quadratus lumborum block approaches following cesarean section: a randomized controlled trial. SHILAP Revista de lepidopterología. 2 indexed citations
15.
Kang, Weiming, Jianchun Yu, Yuqin Liu, et al.. (2015). Overexpression of Eukaryotic Translation Initiation Factor 5A2 (EIF5A2) Correlates with Cell Aggressiveness and Poor Survival in Gastric Cancer. PLoS ONE. 10(3). e0119229–e0119229. 50 indexed citations
16.
Yang, Jian, Jianchun Yu, Zhiqiang Ma, et al.. (2015). [Clinical pathological features and prognosis analysis of gastrointestinal stromal tumor: a series of 558 cases].. PubMed. 53(4). 274–9. 1 indexed citations
17.
18.
Yang, Xiaoxu, et al.. (2014). Risk factors of reoperation in patients with Crohn's disease recurrence. Zhōnghuá xiāohuà wàikē zázhì/Zhonghua xiaohua waike zazhi. 13(8). 607–611.
20.
Kang, Weiming, Jianchun Yu, Zhiqiang Ma, & Xiaohong Liu. (2008). [Clinical application of percutaneous endoscopic gastrostomy/jejunostomy in critically ill patients].. PubMed. 30(3). 253–6. 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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