Chao Lin

2.0k total citations
44 papers, 1.3k citations indexed

About

Chao Lin is a scholar working on Oncology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chao Lin has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 26 papers in Immunology and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chao Lin's work include Cancer Immunotherapy and Biomarkers (17 papers), Immune Cell Function and Interaction (15 papers) and Gastric Cancer Management and Outcomes (11 papers). Chao Lin is often cited by papers focused on Cancer Immunotherapy and Biomarkers (17 papers), Immune Cell Function and Interaction (15 papers) and Gastric Cancer Management and Outcomes (11 papers). Chao Lin collaborates with scholars based in China and United States. Chao Lin's co-authors include Hao Liu, Jiejie Xu, Hongyong He, Ruochen Li, Heng Zhang, Weijuan Zhang, Yihong Sun, Jieti Wang, Yun Gu and He Li and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Annals of Surgery.

In The Last Decade

Chao Lin

43 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Lin China 20 747 707 384 354 221 44 1.3k
K. Jason South Korea 17 249 0.3× 135 0.2× 354 0.9× 168 0.5× 226 1.0× 48 814
Can Küçük Türkiye 14 488 0.7× 470 0.7× 398 1.0× 72 0.2× 223 1.0× 36 1.3k
Wolfgang Jacob Germany 8 523 0.7× 506 0.7× 246 0.6× 166 0.5× 95 0.4× 29 1.0k
Dongqin Zhu China 18 308 0.4× 75 0.1× 274 0.7× 227 0.6× 152 0.7× 57 850
Brian Theisen United States 8 472 0.6× 208 0.3× 848 2.2× 73 0.2× 195 0.9× 19 1.4k
Arnaud Jabouille France 8 489 0.7× 378 0.5× 454 1.2× 143 0.4× 183 0.8× 8 1.1k
Raffaele Tecce Italy 15 325 0.4× 413 0.6× 577 1.5× 120 0.3× 110 0.5× 26 1.4k
Folkert H.M. Morsink Netherlands 25 601 0.8× 91 0.1× 484 1.3× 184 0.5× 242 1.1× 55 1.3k
Anna-Maria Jegg Switzerland 4 397 0.5× 538 0.8× 205 0.5× 111 0.3× 76 0.3× 4 836
Michael K. Asiedu United States 13 726 1.0× 261 0.4× 614 1.6× 210 0.6× 287 1.3× 17 1.2k

Countries citing papers authored by Chao Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chao Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Lin. A scholar is included among the top collaborators of Chao Lin 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 Chao Lin. Chao Lin 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.
Sun, Mengyao, Yun Gu, Jieti Wang, et al.. (2025). Smad4 loss identifies aggressive subtype with immunotherapy and anti-HER-2 treatment resistance in gastric cancer. British Journal of Cancer. 132(12). 1148–1157.
2.
Gu, Yun, Mengyao Sun, Hanji Fang, et al.. (2024). Impact of clonal TP53 mutations with loss of heterozygosity on adjuvant chemotherapy and immunotherapy in gastric cancer. British Journal of Cancer. 131(8). 1320–1327. 8 indexed citations
3.
Lv, Kunpeng, Mengyao Sun, Hanji Fang, et al.. (2023). Targeting myeloid checkpoint Siglec-10 reactivates antitumor immunity and improves anti-programmed cell death 1 efficacy in gastric cancer. Journal for ImmunoTherapy of Cancer. 11(11). e007669–e007669. 15 indexed citations
4.
Gu, Yun, Jieti Wang, Kunpeng Lv, et al.. (2023). Complement receptor C5aR1 blockade reprograms tumor‐associated macrophages and synergizes with anti‐PD‐1 therapy in gastric cancer. International Journal of Cancer. 153(1). 224–237. 14 indexed citations
5.
6.
Yu, Kuan, Yun Gu, Hanji Fang, et al.. (2022). Intratumoral PD-1+CD8+ T cells associate poor clinical outcomes and adjuvant chemotherapeutic benefit in gastric cancer. British Journal of Cancer. 127(9). 1709–1717. 23 indexed citations
7.
Gu, Yun, Jieti Wang, Chao Lin, et al.. (2022). Somatic ARID1A mutation stratifies patients with gastric cancer to PD-1 blockade and adjuvant chemotherapy. Cancer Immunology Immunotherapy. 72(5). 1199–1208. 23 indexed citations
8.
He, Xudong, Yifan Cao, Yun Gu, et al.. (2021). Clinical Outcomes and Immune Metrics in Intratumoral Basophil-Enriched Gastric Cancer Patients. Annals of Surgical Oncology. 28(11). 6439–6450. 20 indexed citations
9.
Fei, Yuchao, Yun Gu, Hanji Fang, et al.. (2021). Intratumoral Foxp3+RORγt+ T cell infiltration determines poor prognosis and immunoevasive contexture in gastric cancer patients. Cancer Immunology Immunotherapy. 71(1). 1–11. 8 indexed citations
10.
Wang, Jieti, Ruochen Li, Yifan Cao, et al.. (2021). Intratumoral CXCR5+CD8+T associates with favorable clinical outcomes and immunogenic contexture in gastric cancer. Nature Communications. 12(1). 3080–3080. 56 indexed citations
11.
He, Xudong, Yun Gu, Yifan Cao, et al.. (2021). Impact of intratumoural CD73 expression on prognosis and therapeutic response in patients with gastric cancer. European Journal of Cancer. 157. 114–123. 20 indexed citations
12.
Li, Ruochen, Hao Liu, Jieti Wang, et al.. (2020). Identification and validation of an immunogenic subtype of gastric cancer with abundant intratumoural CD103+CD8+ T cells conferring favourable prognosis. British Journal of Cancer. 122(10). 1525–1534. 36 indexed citations
13.
Fang, Hanji, Yun Gu, Yuchao Fei, et al.. (2020). Intratumoral interleukin-9 delineates a distinct immunogenic class of gastric cancer patients with better prognosis and adjuvant chemotherapeutic response. OncoImmunology. 9(1). 1856468–1856468. 13 indexed citations
14.
Lin, Chao, Hongyong He, Hao Liu, et al.. (2019). Tumour-associated macrophages-derived CXCL8 determines immune evasion through autonomous PD-L1 expression in gastric cancer. Gut. 68(10). 1764–1773. 283 indexed citations
15.
Zhang, Hao, Yifan Cao, Chao Lin, et al.. (2018). Intratumoral IL17-producing cells infiltration correlate with antitumor immune contexture and improved response to adjuvant chemotherapy in gastric cancer. Annals of Oncology. 30(2). 266–273. 54 indexed citations
16.
17.
Wu, Song‐Yang, Hao Liu, Heng Zhang, et al.. (2016). Galectin-8 is associated with recurrence and survival of patients with non-metastatic gastric cancer after surgery. Tumor Biology. 37(9). 12635–12642. 17 indexed citations
18.
Cao, Yifan, Hao Liu, Heng Zhang, et al.. (2016). Decreased expression of Siglec-8 associates with poor prognosis in patients with gastric cancer after surgical resection. Tumor Biology. 37(8). 10883–10891. 7 indexed citations
19.
Wu, Wenchuan, Xiuzhong Yao, Chao Lin, et al.. (2014). Should Steroid Therapy Be Necessarily Needed for Autoimmune Pancreatitis Patients with Lesion Resected due to Misdiagnosed or Suspected Malignancy?. Gastroenterology Research and Practice. 2014. 1–6. 1 indexed citations
20.

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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