Kai Wang

4.8k total citations · 2 hit papers
117 papers, 2.6k citations indexed

About

Kai Wang is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Kai Wang has authored 117 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Oncology, 26 papers in Pulmonary and Respiratory Medicine and 23 papers in Surgery. Recurrent topics in Kai Wang's work include Colorectal Cancer Screening and Detection (17 papers), Gastric Cancer Management and Outcomes (14 papers) and Nutritional Studies and Diet (14 papers). Kai Wang is often cited by papers focused on Colorectal Cancer Screening and Detection (17 papers), Gastric Cancer Management and Outcomes (14 papers) and Nutritional Studies and Diet (14 papers). Kai Wang collaborates with scholars based in China, United States and Norway. Kai Wang's co-authors include Jianhao Lin, Qiang Liu, Mattia Prosperi, Yuqing Zhang, Heyong Yin, Naicheng Diao, Ai Guo, Huibin Long, Xinguang Chen and Deepthi S. Varma and has published in prestigious journals such as Environmental Science & Technology, Gastroenterology and PLoS ONE.

In The Last Decade

Kai Wang

111 papers receiving 2.6k citations

Hit Papers

Prevalence Trends of Site‐Specific Osteoarthritis From 19... 2022 2026 2023 2024 2022 2024 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Wang China 25 440 431 415 322 300 117 2.6k
Dong Hyun Kim South Korea 26 293 0.7× 857 2.0× 337 0.8× 238 0.7× 120 0.4× 170 2.9k
Sheyu Li China 33 250 0.6× 800 1.9× 836 2.0× 220 0.7× 180 0.6× 133 3.9k
Jill Waalen United States 30 165 0.4× 361 0.8× 379 0.9× 233 0.7× 147 0.5× 102 3.8k
Li Wei China 24 205 0.5× 288 0.7× 270 0.7× 222 0.7× 106 0.4× 94 2.6k
Yashuang Zhao China 33 387 0.9× 1.2k 2.7× 569 1.4× 262 0.8× 717 2.4× 161 3.6k
Mohammadreza Ardalan Iran 33 192 0.4× 850 2.0× 552 1.3× 290 0.9× 191 0.6× 281 3.9k
Martin Connock United Kingdom 32 440 1.0× 784 1.8× 778 1.9× 568 1.8× 209 0.7× 134 4.3k
Alfredo Maurício Batista de Paula Brazil 29 173 0.4× 800 1.9× 351 0.8× 133 0.4× 294 1.0× 188 3.0k
Ying Chen China 35 407 0.9× 1.7k 3.8× 567 1.4× 339 1.1× 486 1.6× 258 4.3k
Miho Suzuki Japan 26 266 0.6× 427 1.0× 276 0.7× 89 0.3× 332 1.1× 93 2.5k

Countries citing papers authored by Kai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Wang. A scholar is included among the top collaborators of Kai Wang 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 Kai Wang. Kai Wang 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
2.
Wang, Kai, et al.. (2024). Sex-specific poor physical performance in Korean community-dwelling older adults. Experimental Gerontology. 198. 112636–112636.
3.
Li, Hao, Qi Shi, Caiyun Chen, Ju Li, & Kai Wang. (2024). Smoking-attributable peptic ulcer disease mortality worldwide: trends from 1990 to 2021 and projections to 2046 based on the global burden of disease study. Frontiers in Public Health. 12. 1465452–1465452. 2 indexed citations
4.
Wang, Kai, et al.. (2024). A new clinical model for predicting lymph node metastasis in T1 colorectal cancer. International Journal of Colorectal Disease. 39(1). 46–46. 1 indexed citations
5.
Polychronidis, Georgios, Ming-Ming He, Mathew Vithayathil, et al.. (2024). Risk of colorectal neoplasia after removal of conventional adenomas and serrated polyps: a comprehensive evaluation of risk factors and surveillance use. Gut. 73(10). 1675–1683. 4 indexed citations
6.
Lu, Yujia, Yu Zhao, Kuang‐Yu Liu, et al.. (2024). A validated estimate of visceral adipose tissue volume in relation to cancer risk. JNCI Journal of the National Cancer Institute. 116(12). 1942–1951. 5 indexed citations
7.
Wang, Kai, Wenjie Ma, Hang Dong, et al.. (2023). 1245 INTERPLAY BETWEEN COFFEE INTAKE AND THE GUT MICROBIOME IN RELATION TO HOST METABOLOME. Gastroenterology. 164(6). S–257.
8.
Knudsen, Markus Dines, Kai Wang, Paula Berstad, et al.. (2023). Use of surveillance colonoscopy among individuals with removal of high‐risk polyps according to the US Multi‐Society Task Force recommendations. Cancer. 129(9). 1394–1401. 2 indexed citations
9.
He, Heng, Qian Shen, Ming-Ming He, et al.. (2023). In Utero and Childhood/Adolescence Exposure to Tobacco Smoke, Genetic Risk, and Cancer Incidence in Adulthood: A Prospective Cohort Study. Mayo Clinic Proceedings. 98(8). 1164–1176. 2 indexed citations
10.
Zhang, Yaqi, Tong Guo, Kai Wang, et al.. (2023). Effects of BAMBI on luteinized follicular granulosa cell proliferation and steroid hormone production in sheep. Molecular Reproduction and Development. 90(3). 153–165. 5 indexed citations
11.
Zhou, Jingqi, et al.. (2023). Non-obese or lean non-alcoholic fatty liver disease was associated with increased risk of cancer in patients with type 2 diabetes mellitus. BMJ Open Diabetes Research & Care. 11(1). e003066–e003066. 12 indexed citations
12.
Lo, Chun‐Han, Raaj S. Mehta, Long H. Nguyen, et al.. (2023). 1252 AN EMPIRICAL DIETARY PATTERN ASSOCIATED WITH GUT MICROBIAL FEATURES IN RELATION TO COLORECTAL CANCER RISK. Gastroenterology. 164(6). S–260.
13.
Wang, Kai, et al.. (2022). Cryoprotective effect of antifreeze protein III on the rabbit ovary. Reproduction Fertility and Development. 34(9). 645–657. 3 indexed citations
14.
15.
Wang, Kai, et al.. (2021). Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning. arXiv (Cornell University). 34. 8 indexed citations
16.
Ma, Wenjie, Long H. Nguyen, Yiyang Yue, et al.. (2021). Associations between predicted vitamin D status, vitamin D intake, and risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and coronavirus disease 2019 (COVID-19) severity. American Journal of Clinical Nutrition. 115(4). 1123–1133. 14 indexed citations
17.
Wang, Kai, et al.. (2020). Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games. Adaptive Agents and Multi-Agents Systems. 1449–1457. 2 indexed citations
18.
Wang, Kai, et al.. (2020). Robust Spatial-Temporal Incident Prediction. Uncertainty in Artificial Intelligence. 360–369. 2 indexed citations
19.
Wang, Kai, et al.. (2015). Effect of mu Agonists on Long-Term Survival and Recurrence in Nonsmall Cell Lung Cancer Patients. Medicine. 94(33). e1333–e1333. 30 indexed citations
20.
Thorsen, Kasper, Troels Schepeler, Bodil Øster, et al.. (2011). Tumor-specific usage of alternative transcription start sites in colorectal cancer identified by genome-wide exon array analysis. BMC Genomics. 12(1). 505–505. 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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