Dan Jiang

1.2k total citations
48 papers, 589 citations indexed

About

Dan Jiang is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Dan Jiang has authored 48 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 14 papers in Surgery and 8 papers in Molecular Biology. Recurrent topics in Dan Jiang's work include Colorectal Cancer Surgical Treatments (13 papers), Colorectal and Anal Carcinomas (9 papers) and Colorectal Cancer Treatments and Studies (8 papers). Dan Jiang is often cited by papers focused on Colorectal Cancer Surgical Treatments (13 papers), Colorectal and Anal Carcinomas (9 papers) and Colorectal Cancer Treatments and Studies (8 papers). Dan Jiang collaborates with scholars based in China, United Kingdom and United States. Dan Jiang's co-authors include Yongjian Deng, Qingjiong Zhang, Shiqiang Li, Yanqing Ding, Wenting Liao, Yanmei Cui, Xiangming Guo, Xiaoyun Jia, Xueshan Xiao and Xiu‐Wu Bian and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Annals of Surgery.

In The Last Decade

Dan Jiang

43 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Jiang China 13 215 175 115 112 101 48 589
Rebecca J. Hammon United States 9 136 0.6× 130 0.7× 139 1.2× 33 0.3× 113 1.1× 12 424
Vivian Weiß United States 17 188 0.9× 305 1.7× 76 0.7× 57 0.5× 130 1.3× 55 714
Christopher Lum United States 10 110 0.5× 126 0.7× 43 0.4× 22 0.2× 38 0.4× 29 462
T. Rinda Soong United States 12 106 0.5× 124 0.7× 113 1.0× 20 0.2× 41 0.4× 35 475
Emma Ross United Kingdom 7 100 0.5× 108 0.6× 33 0.3× 96 0.9× 33 0.3× 8 729
I Ruschenburg Germany 13 186 0.9× 187 1.1× 79 0.7× 28 0.3× 90 0.9× 41 464
Junru Liu China 14 227 1.1× 163 0.9× 31 0.3× 48 0.4× 55 0.5× 79 555
Hui Won Jang South Korea 12 80 0.4× 146 0.8× 48 0.4× 14 0.1× 108 1.1× 23 426

Countries citing papers authored by Dan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Dan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Jiang. A scholar is included among the top collaborators of Dan Jiang 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 Dan Jiang. Dan Jiang 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
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2.
Zhang, Xian, et al.. (2024). Clinicopathological Characteristics and Outcomes of Colorectal Cancer With Heterogenous Staining of Mismatch Repair Protein. Diseases of the Colon & Rectum. 68(1). 48–59. 1 indexed citations
3.
4.
Jiang, Dan, et al.. (2024). Associations of clinical subtypes and bile acid levels of intrahepatic cholestasis of pregnancy with pregnancy outcomes. Scientific Reports. 14(1). 12185–12185. 3 indexed citations
5.
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Luo, Xu, Xiangbing Deng, Wenjian Meng, et al.. (2023). Predicting Rectal Cancer Response to Total Neoadjuvant Treatment Using an Artificial Intelligence Model Based on Magnetic Resonance Imaging and Clinical Data. Technology in Cancer Research & Treatment. 22. 2223928355–2223928355. 5 indexed citations
7.
Wang, Han, Dan Jiang, Haixian Zhang, et al.. (2023). An Explainable Coarse-to-Fine Survival Analysis Method on Multi-Center Whole Slide Images. IEEE Transactions on Artificial Intelligence. 5(3). 1316–1327. 3 indexed citations
8.
Jiang, Dan, et al.. (2023). Predicting the Severity of Esophageal Varices in Patients with Hepatic Cirrhosis Using Non-Invasive Markers. Risk Management and Healthcare Policy. Volume 16. 1555–1566. 1 indexed citations
9.
Guo, Jianrong, Hong Yu, Dan Jiang, et al.. (2023). Transcriptomic study of gastrointestinal stromal tumors with liver metastasis. Frontiers in Genetics. 14. 1007135–1007135. 2 indexed citations
10.
Wotherspoon, Andrew, Zi Chen, Dan Jiang, et al.. (2023). Relapses in early‐stage follicular lymphoma frequently develop via a divergent evolution from their clonally related precursor cells. The Journal of Pathology. 262(3). 289–295. 5 indexed citations
11.
Yang, Xuyang, et al.. (2022). Can patients with good tumor regression grading after neoadjuvant chemoradiotherapy be exempted from lateral lymph node dissection?. Discover Oncology. 13(1). 144–144. 3 indexed citations
12.
Yang, Xibiao, Xiangbing Deng, Wenjian Meng, et al.. (2021). Predicting Response to Total Neoadjuvant Treatment (TNT) in Locally Advanced Rectal Cancer Based on Multiparametric Magnetic Resonance Imaging: A Retrospective Study. Cancer Management and Research. Volume 13. 5657–5669. 6 indexed citations
13.
Jiang, Dan, Tarjei S. Hveem, Mark A. Glaire, et al.. (2021). Automated assessment of CD8+ T-lymphocytes and stroma fractions complement conventional staging of colorectal cancer. EBioMedicine. 71. 103547–103547. 7 indexed citations
14.
Jiang, Dan, Chang Shu, Weihan Zhang, et al.. (2020). Low level of microsatellite instability correlates with short disease-free survival of gastric cancer patients undergoing neoadjuvant chemotherapy. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 478(2). 231–240. 2 indexed citations
15.
Yang, Xuyang, Lina Ye, Chaoyang Gu, et al.. (2020). The effect of pericolic lymph nodes metastasis beyond 10 cm proximal to the tumor on patients with rectal cancer. BMC Cancer. 20(1). 573–573. 1 indexed citations
16.
Yang, Xuyang, Tao Hu, Chaoyang Gu, et al.. (2019). The Prognostic Significance of Isolated Tumor Cells Detected Within Lateral Lymph Nodes in Rectal Cancer Patients After Laparoscopic Lateral Lymph Node Dissection. Journal of Laparoendoscopic & Advanced Surgical Techniques. 29(11). 1462–1468. 6 indexed citations
17.
Jiang, Dan, Xiaochu Yan, Min Chen, et al.. (2017). Synovial sarcoma showing loss of a green signal in SS18 fluorescence in situ hybridization: a clinicopathological and molecular study of 12 cases. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 471(6). 799–807. 12 indexed citations
18.
Jiang, Dan, Jiali Li, Xueshan Xiao, et al.. (2014). Detection of Mutations in LRPAP1, CTSH, LEPREL1, ZNF644, SLC39A5, and SCO2 in 298 Families With Early-Onset High Myopia by Exome Sequencing. Investigative Ophthalmology & Visual Science. 56(1). 339–345. 87 indexed citations
19.
Zhu, Xiaolong, Zheng Li, Dan Jiang, et al.. (2012). Characterization and expressional analysis of Dleu7 during Xenopus tropicalis embryogenesis. Gene. 509(1). 77–84. 4 indexed citations
20.
Liao, Wenting, Dan Jiang, Jian Yuan, et al.. (2011). HOXB7 as a Prognostic Factor and Mediator of Colorectal Cancer Progression. Clinical Cancer Research. 17(11). 3569–3578. 117 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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