Jialiang Gan

986 total citations
44 papers, 659 citations indexed

About

Jialiang Gan is a scholar working on Oncology, Cancer Research and Physiology. According to data from OpenAlex, Jialiang Gan has authored 44 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 17 papers in Cancer Research and 11 papers in Physiology. Recurrent topics in Jialiang Gan's work include Inflammatory Biomarkers in Disease Prognosis (16 papers), Cancer, Lipids, and Metabolism (13 papers) and Colorectal Cancer Surgical Treatments (11 papers). Jialiang Gan is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (16 papers), Cancer, Lipids, and Metabolism (13 papers) and Colorectal Cancer Surgical Treatments (11 papers). Jialiang Gan collaborates with scholars based in China and United States. Jialiang Gan's co-authors include Hailun Xie, Shuangyi Tang, Lishuang Wei, Feng Gao, Ling Yan, Yizhen Gong, Guo‐Tian Ruan, Mingxiang Liu, S. M. Nashir Udden and Hasan Zaki and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Cell Reports.

In The Last Decade

Jialiang Gan

41 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jialiang Gan China 15 315 210 157 123 119 44 659
Yizhen Gong China 17 189 0.6× 112 0.5× 179 1.1× 251 2.0× 94 0.8× 48 710
Tatsuya Minami Japan 14 200 0.6× 428 2.0× 85 0.5× 152 1.2× 156 1.3× 35 1.0k
Hideko Ohama Japan 13 92 0.3× 108 0.5× 47 0.3× 121 1.0× 107 0.9× 53 659
Dianjie Lin China 13 121 0.4× 45 0.2× 69 0.4× 134 1.1× 67 0.6× 28 510
Nivedita Arora United States 15 297 0.9× 68 0.3× 103 0.7× 235 1.9× 109 0.9× 38 672
Yeonjung Ha South Korea 17 177 0.6× 66 0.3× 126 0.8× 82 0.7× 105 0.9× 50 848
Tomohiro Kaneko Japan 16 53 0.2× 85 0.4× 47 0.3× 202 1.6× 74 0.6× 61 853
Xiaomeng Feng China 12 55 0.2× 54 0.3× 158 1.0× 245 2.0× 33 0.3× 21 552
Liuhua Wang China 14 197 0.6× 58 0.3× 110 0.7× 169 1.4× 349 2.9× 37 619
Hirofumi Ando Japan 9 55 0.2× 26 0.1× 58 0.4× 123 1.0× 50 0.4× 35 353

Countries citing papers authored by Jialiang Gan

Since Specialization
Citations

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

Fields of papers citing papers by Jialiang Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jialiang Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Jialiang Gan. A scholar is included among the top collaborators of Jialiang Gan 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 Jialiang Gan. Jialiang Gan 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.
Liu, Mingxiang, Qi Zhou, Bin Lan, Jialiang Gan, & Sen Zhang. (2025). Factors influencing pathological complete response following neoadjuvant chemoimmunotherapy in locally advanced microsatellite stable colorectal cancer: a retrospective analysis. Frontiers in Medicine. 12. 1587684–1587684. 1 indexed citations
2.
Xie, Hailun, Lishuang Wei, Qiwen Wang, Shuangyi Tang, & Jialiang Gan. (2024). Elevated serum homocysteine levels associated with poor recurrence-free and overall survival in patients with colorectal cancer. Scientific Reports. 14(1). 10057–10057. 3 indexed citations
3.
Wei, Lishuang, Hailun Xie, Qiwen Wang, Shuangyi Tang, & Jialiang Gan. (2024). The prognostic value of preoperative D-dimer to albumin ratio for overall survival and progression-free survival in colorectal cancer. Frontiers in Physiology. 15. 1369855–1369855. 3 indexed citations
4.
Xie, Hailun, Lishuang Wei, Qiwen Wang, Shuangyi Tang, & Jialiang Gan. (2024). Apolipoprotein A-I levels in the survival of patients with colorectal cancer: a retrospective study. Frontiers in Endocrinology. 15. 1318416–1318416.
5.
Xie, Hailun, Lishuang Wei, Mingxiang Liu, et al.. (2023). The cancer inflammation prognostic index is a valuable biomarker for predicting the survival of patients with stage I–III colorectal cancer. Scientific Reports. 13(1). 18080–18080. 4 indexed citations
6.
Xie, Hailun, Lishuang Wei, Mingxiang Liu, et al.. (2023). Serum creatinine/cystatin C ratio as a prognostic indicator for patients with colorectal cancer. Frontiers in Oncology. 13. 1155520–1155520. 6 indexed citations
7.
Xie, Hailun, Lishuang Wei, Mingxiang Liu, et al.. (2023). Prognostic significance of sarcopenia diagnosed based on the anthropometric equation for progression-free survival and overall survival in patients with colorectal cancer. Frontiers in Nutrition. 10. 1076589–1076589. 6 indexed citations
8.
Xie, Hailun, Lishuang Wei, Mingxiang Liu, et al.. (2023). The value of carcinoembryonic antigen stage in staging, prognosis, and management of colorectal cancer: results from two cohort studies. Frontiers in Oncology. 13. 1268783–1268783. 3 indexed citations
9.
Xie, Hailun, Lishuang Wei, Mingxiang Liu, et al.. (2022). Neutrophil-albumin ratio as a biomarker for postoperative complications and long-term prognosis in patients with colorectal cancer undergoing surgical treatment. Frontiers in Nutrition. 9. 976216–976216. 24 indexed citations
10.
Xie, Hailun, Lishuang Wei, Mingxiang Liu, et al.. (2022). Combination of Geriatric Nutritional Risk Index and Carcinoembryonic Antigen to Predict the Survival of Patients With Colorectal Cancer. Frontiers in Nutrition. 9. 902080–902080. 3 indexed citations
11.
Xie, Hailun, et al.. (2022). Prognostic Value of Prognostic Nutritional Index in Patients With Colorectal Cancer Undergoing Surgical Treatment. Frontiers in Nutrition. 9. 794489–794489. 30 indexed citations
13.
Tang, Shuangyi, et al.. (2020). <p>The Value of Geriatric Nutritional Risk Index in Evaluating Postoperative Complication Risk and Long-Term Prognosis in Elderly Colorectal Cancer Patients</p>. Cancer Management and Research. Volume 12. 165–175. 37 indexed citations
14.
Ruan, Guo‐Tian, Yizhen Gong, Feng Gao, et al.. (2020). <p>The Perspective of Diagnostic and Prognostic Values of Lipoxygenases mRNA Expression in Colon Adenocarcinoma</p>. OncoTargets and Therapy. Volume 13. 9389–9405. 10 indexed citations
15.
Wang, Shengqiang, Hailun Xie, Yizhen Gong, et al.. (2020). The value of L3 skeletal muscle index in evaluating preoperative nutritional risk and long-term prognosis in colorectal cancer patients. Scientific Reports. 10(1). 8153–8153. 49 indexed citations
18.
Li, Wanting, et al.. (2017). 金雀异黄酮对三阴乳腺癌MDA-MB-231细胞凋亡及EGFR/PI3K/Akt通路的影响. 33(10). 1376–1381. 1 indexed citations
19.
Gan, Jialiang, et al.. (2013). Clinical Epidemiologic Analysis of 1 278 Cases of Elderly Patients with Colorectal Carcinoma in Guangxi Region. Zhongliu fangzhi yanjiu. 40(1). 98–101. 1 indexed citations
20.
Gan, Jialiang, et al.. (2013). Clinicopathologic and epidemiologic analysis of 1 220 cases of the colorectal carcinoma with negative preoperative carcinoembryonic antigen.. Xiandai yufang yixue. 40(9). 1772–1774. 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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