Kai Guo

503 total citations
32 papers, 347 citations indexed

About

Kai Guo is a scholar working on Oncology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Kai Guo has authored 32 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 11 papers in Biomedical Engineering and 9 papers in Molecular Biology. Recurrent topics in Kai Guo's work include Pancreatic and Hepatic Oncology Research (9 papers), Nanoplatforms for cancer theranostics (7 papers) and Nanoparticle-Based Drug Delivery (6 papers). Kai Guo is often cited by papers focused on Pancreatic and Hepatic Oncology Research (9 papers), Nanoplatforms for cancer theranostics (7 papers) and Nanoparticle-Based Drug Delivery (6 papers). Kai Guo collaborates with scholars based in China, United States and Italy. Kai Guo's co-authors include Shuai Ren, Zhongqiu Wang, Yingying Cao, Rong Chen, Faguang Jin, Wenli Qiu, Lina Song, Shaofeng Duan, Ying Tian and Wenjing Cui and has published in prestigious journals such as ACS Applied Materials & Interfaces, Life Sciences and International Journal of Nanomedicine.

In The Last Decade

Kai Guo

31 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Guo China 12 157 96 87 73 70 32 347
Xujie Sun China 12 136 0.9× 65 0.7× 92 1.1× 88 1.2× 40 0.6× 34 377
Wenjing Cui China 12 186 1.2× 104 1.1× 54 0.6× 139 1.9× 49 0.7× 38 413
Xiangyu Chen China 10 75 0.5× 50 0.5× 89 1.0× 70 1.0× 74 1.1× 34 443
Yakun Wang China 11 147 0.9× 42 0.4× 114 1.3× 78 1.1× 26 0.4× 27 487
Shuye Yang China 9 131 0.8× 88 0.9× 39 0.4× 52 0.7× 48 0.7× 19 461
Chia-Chun Kuo Taiwan 10 95 0.6× 38 0.4× 111 1.3× 110 1.5× 38 0.5× 18 390
Min Du China 13 146 0.9× 95 1.0× 83 1.0× 111 1.5× 47 0.7× 37 550
Alireza Mohseni United States 7 97 0.6× 61 0.6× 96 1.1× 140 1.9× 56 0.8× 37 510
Weidong Wang China 10 178 1.1× 21 0.2× 94 1.1× 53 0.7× 95 1.4× 27 370
Ling Han China 7 202 1.3× 31 0.3× 79 0.9× 110 1.5× 64 0.9× 28 467

Countries citing papers authored by Kai Guo

Since Specialization
Citations

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

Fields of papers citing papers by Kai Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Guo. A scholar is included among the top collaborators of Kai Guo 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 Guo. Kai Guo 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.
Mu, Mengyao, Jie Liu, Ke Ren, et al.. (2025). Real-time magnetic resonance visualization of tumor acidosis as a precognition indicator of therapeutic efficacy. Bioactive Materials. 52. 63–72.
2.
Li, Xiaorong, et al.. (2025). Cardiomyocyte-specific deletion of STING improves cardiac function, glucose homeostasis, and wound healing in diabetic mice. Life Sciences. 366-367. 123470–123470. 1 indexed citations
3.
4.
Sun, Yuzhong, Su Wang, Shuangfei Zhao, et al.. (2024). Scale-up microreactor coupling binary surfactants for high-throughput preparation of flaky dasatinib nanocrystals. Journal of the Taiwan Institute of Chemical Engineers. 167. 105823–105823. 2 indexed citations
5.
Li, Zhaoting, Fanyi Mo, Kai Guo, et al.. (2024). Nanodrug-bacteria conjugates-mediated oncogenic collagen depletion enhances immune checkpoint blockade therapy against pancreatic cancer. Med. 5(4). 348–367.e7. 14 indexed citations
6.
Cao, Yingying, Shuai Ren, Kai Guo, et al.. (2023). Threshold of Main Pancreatic Duct Diameter in Identifying Malignant Intraductal Papillary Mucinous Neoplasm by Magnetic Resonance Imaging. Technology in Cancer Research & Treatment. 22. 2223912830–2223912830. 5 indexed citations
7.
Chen, Kun, Kai Guo, Jun Tao, et al.. (2023). Multimodal Imaging‐Guided Photoimmunotherapy of Pancreatic Cancer by Organosilica Nanomedicine. Advanced Healthcare Materials. 13(2). e2302195–e2302195. 9 indexed citations
8.
Ren, Shuai, Kai Guo, Yuan Li, et al.. (2023). Diagnostic accuracy of apparent diffusion coefficient to differentiate intrapancreatic accessory spleen from pancreatic neuroendocrine tumors. World Journal of Gastrointestinal Oncology. 15(6). 1051–1061. 4 indexed citations
9.
10.
Lu, Yihua, et al.. (2022). A prognostic nomogram for papillary thyroid cancer lymph node metastasis based on immune score. Frontiers in Endocrinology. 13. 993856–993856. 3 indexed citations
11.
Cao, Yingying, Kai Guo, Shuai Ren, et al.. (2022). Potential Metabolite Biomarkers for Early Detection of Stage-I Pancreatic Ductal Adenocarcinoma. Frontiers in Oncology. 11. 744667–744667. 15 indexed citations
12.
Chen, Shuai, Shuai Ren, Kai Guo, et al.. (2021). Preoperative differentiation of serous cystic neoplasms from mucin-producing pancreatic cystic neoplasms using a CT-based radiomics nomogram. Abdominal Radiology. 46(6). 2637–2646. 16 indexed citations
13.
Guo, Kai, Shuai Ren, Yingying Cao, et al.. (2021). Differentiation between renal oncocytomas and chromophobe renal cell carcinomas using dynamic contrast-enhanced computed tomography. Abdominal Radiology. 46(7). 3309–3316. 6 indexed citations
14.
Qiu, Wenli, Haibin Chen, Jian Zhang, et al.. (2021). Evaluation of HRCT for the Differential Diagnosis of Pneumonia-Like Consolidation Pattern of Pulmonary MALT Lymphoma from Lobar Pneumonia. Cancer Management and Research. Volume 13. 7813–7821. 7 indexed citations
15.
Ren, Shuai, Lina Song, Ying Tian, et al.. (2021). Emodin-Conjugated PEGylation of Fe3O4 Nanoparticles for FI/MRI Dual-Modal Imaging and Therapy in Pancreatic Cancer. International Journal of Nanomedicine. Volume 16. 7463–7478. 32 indexed citations
16.
Li, Ming‐Xing, et al.. (2020). First successful treatment of a COVID-19 pregnant woman with severe ARDS by combining early mechanical ventilation and ECMO. Heart & Lung. 50(1). 33–36. 22 indexed citations
17.
Ren, Shuai, Wenjing Cui, Wenli Qiu, et al.. (2020). Computed Tomography-Based Radiomics Signature for the Preoperative Differentiation of Pancreatic Adenosquamous Carcinoma From Pancreatic Ductal Adenocarcinoma. Frontiers in Oncology. 10. 1618–1618. 34 indexed citations
18.
Liang, Hengrui, Hongsheng Deng, Wenhua Liang, et al.. (2020). Perioperative chemoimmunotherapy in a patient with stage IIIB non-small cell lung cancer. Annals of Translational Medicine. 8(5). 245–245. 10 indexed citations
19.
Ren, Shuai, Jingjing Zhang, Kai Guo, et al.. (2020). Diagnostic accuracy of unenhanced CT texture analysis to differentiate mass-forming pancreatitis from pancreatic ductal adenocarcinoma. Abdominal Radiology. 45(5). 1524–1533. 37 indexed citations
20.
Ren, Shuai, Xiao Chen, Wenjing Cui, et al.. (2019). <p>Differentiation of chronic mass-forming pancreatitis from pancreatic ductal adenocarcinoma using contrast-enhanced computed tomography</p>. Cancer Management and Research. Volume 11. 7857–7866. 11 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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