Tong-Yu Lin

2.2k total citations
47 papers, 1.3k citations indexed

About

Tong-Yu Lin is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Tong-Yu Lin has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 24 papers in Pathology and Forensic Medicine and 14 papers in Molecular Biology. Recurrent topics in Tong-Yu Lin's work include Lymphoma Diagnosis and Treatment (23 papers), Viral-associated cancers and disorders (14 papers) and CNS Lymphoma Diagnosis and Treatment (8 papers). Tong-Yu Lin is often cited by papers focused on Lymphoma Diagnosis and Treatment (23 papers), Viral-associated cancers and disorders (14 papers) and CNS Lymphoma Diagnosis and Treatment (8 papers). Tong-Yu Lin collaborates with scholars based in China, United States and Taiwan. Tong-Yu Lin's co-authors include Hui-Qiang Huang, Wen-Qi Jiang, Jia-Jia Huang, Bingliang Fang, Jian Gu, Zhiming Li, Lidong Zhang, Zhong-Jun Xia, Yi Xia and Jack A. Roth and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Oncogene.

In The Last Decade

Tong-Yu Lin

46 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
Tong-Yu Lin China 22 586 461 444 237 181 47 1.3k
Shigeki Tomita Japan 18 551 0.9× 224 0.5× 262 0.6× 246 1.0× 140 0.8× 100 1.2k
Gunnar Juliusson Sweden 17 402 0.7× 663 1.4× 377 0.8× 369 1.6× 60 0.3× 56 1.5k
Toshiko Motoji Japan 26 578 1.0× 259 0.6× 915 2.1× 399 1.7× 122 0.7× 121 2.6k
Martha G. Sensel United States 24 438 0.7× 210 0.5× 603 1.4× 187 0.8× 206 1.1× 42 2.8k
Thomas J. Nevill Canada 25 761 1.3× 422 0.9× 471 1.1× 445 1.9× 75 0.4× 99 2.5k
Hyeon‐Seok Eom South Korea 24 864 1.5× 679 1.5× 412 0.9× 423 1.8× 54 0.3× 133 1.7k
Taiga Nishihori United States 22 751 1.3× 235 0.5× 390 0.9× 344 1.5× 118 0.7× 169 1.7k
Andy Sherrod United States 20 786 1.3× 283 0.6× 376 0.8× 182 0.8× 50 0.3× 39 1.6k
H. Hollema Netherlands 19 763 1.3× 306 0.7× 431 1.0× 186 0.8× 72 0.4× 38 1.5k
Shoji Kodama Japan 20 806 1.4× 198 0.4× 474 1.1× 395 1.7× 205 1.1× 40 2.6k

Countries citing papers authored by Tong-Yu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Tong-Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong-Yu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Tong-Yu Lin. A scholar is included among the top collaborators of Tong-Yu 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 Tong-Yu Lin. Tong-Yu 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.
Zhang, Xi, Jia-Jia Huang, Yi Xia, et al.. (2016). High risk of deep vein thrombosis associated with peripherally inserted central catheters in lymphoma. Oncotarget. 7(23). 35404–35411. 17 indexed citations
2.
Huang, Jia-Jia, Yi Xia, Yu Wang, et al.. (2015). Epstein-Barr Virus-Positive Diffuse Large B-Cell Lymphoma in the Elderly: A Matched Case-Control Analysis. PLoS ONE. 10(7). e0133973–e0133973. 18 indexed citations
3.
4.
Liu, Yan Hui, Jie Chen, Qi-rong Geng, et al.. (2015). The prognostic nutritional index predicts survival for patients with extranodal natural killer/T cell lymphoma, nasal type. Annals of Hematology. 94(8). 1389–1400. 32 indexed citations
5.
Ahn, Myung‐Ju, Anil D′Cruz, Jan B. Vermorken, et al.. (2015). Clinical recommendations for defining platinum unsuitable head and neck cancer patient populations on chemoradiotherapy: A literature review. Oral Oncology. 53. 10–16. 82 indexed citations
6.
Wang, Liang, Hua Wang, Zhong-Jun Xia, et al.. (2015). Peripheral blood lymphocyte to monocyte ratio identifies high-risk adult patients with sporadic Burkitt lymphoma. Annals of Hematology. 94(10). 1645–1654. 9 indexed citations
7.
Lin, Tong-Yu, et al.. (2014). Research on routing protocols in wireless sensor network for bridge health monitoring. 478–484. 2 indexed citations
8.
Li, Zhiming, Hui-Qiang Huang, Zhong-Jun Xia, et al.. (2013). Prognostic Value of Interim and Posttherapy 18F-FDG PET/CT in Patients with Mature T-Cell and Natural Killer Cell Lymphomas. Journal of Nuclear Medicine. 54(4). 507–515. 28 indexed citations
9.
Jiang, Wen-Qi, Hui-Lan Rao, Jia-Jia Huang, et al.. (2012). Expression of BAFF and BAFF-R in Follicular Lymphoma: Correlation with Clinicopathologic Characteristics and Survival Outcomes. PLoS ONE. 7(12). e50936–e50936. 21 indexed citations
10.
Huang, Jia-Jia, Yi Xia, Wei Zhao, et al.. (2011). A novel prognostic model for extranodal natural killer/T-cell lymphoma. Medical Oncology. 29(3). 2183–2190. 22 indexed citations
11.
Xu, Fei, Ying Tian, Yan Huang, et al.. (2011). EGFR inhibitors sensitize non-small cell lung cancer cells to TRAIL-induced apoptosis. Chinese Journal of Cancer. 30(10). 701–711. 12 indexed citations
12.
13.
Guo, Chengcheng, et al.. (2010). The role of Skp2 in extranodal NK/T-cell lymphoma. Chinese Journal of Cancer. 29(5). 567–571. 7 indexed citations
14.
Huang, Jia-Jia, Wen-Qi Jiang, Rui‐Hua Xu, et al.. (2010). Primary gastric non-Hodgkin's lymphoma in Chinese patients: clinical characteristics and prognostic factors. BMC Cancer. 10(1). 358–358. 28 indexed citations
15.
Xiao, Jian, et al.. (2010). 5-Fluorouracil upregulates the activity of Wnt signaling pathway in CD133-positive colon cancer stem-like cells. Chinese Journal of Cancer. 29(9). 810–815. 35 indexed citations
16.
Huang, Jia-Jia, Yi Xia, Tong-Yu Lin, et al.. (2010). Clinical characterization and prognostic factors of primary lymphoma of bone in case of Chinese patients. Medical Oncology. 28(S1). 476–482. 6 indexed citations
17.
Deng, Yanhong, Brenda F. Kurland, Jianping Wang, et al.. (2009). High Epidermal Growth Factor Receptor Expression in Metastatic Colorectal Cancer Lymph Nodes May Be More Prognostic of Poor Survival Than in Primary Tumor. American Journal of Clinical Oncology. 32(3). 245–252. 16 indexed citations
18.
Yang, Po‐Jen, Hung‐Jung Lin, & Tong-Yu Lin. (2007). Bilateral tension pneumothorax—Is a prompt chest X-ray useful?. Resuscitation. 73(2). 176–177.
19.
Lin, Tong-Yu, Lidong Zhang, Jason J. Davis, et al.. (2003). Combination of TRAIL gene therapy and chemotherapy enhances antitumor and antimetastasis effects in chemosensitive and chemoresistant breast cancers. Molecular Therapy. 8(3). 441–448. 52 indexed citations
20.
Lin, Tong-Yu, et al.. (1999). High dose ifosfamide, doxorubicin, dacarbazine and G-CSF for patients with metastatic or locally advanced soft tissue sarcoma. Chinese Journal of Cancer Research. 11(3). 200–203. 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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