Su-Xia Lin

408 total citations
9 papers, 284 citations indexed

About

Su-Xia Lin is a scholar working on Oncology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Su-Xia Lin has authored 9 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Pathology and Forensic Medicine and 3 papers in Immunology. Recurrent topics in Su-Xia Lin's work include Lymphoma Diagnosis and Treatment (4 papers), Viral-associated cancers and disorders (3 papers) and Immune cells in cancer (2 papers). Su-Xia Lin is often cited by papers focused on Lymphoma Diagnosis and Treatment (4 papers), Viral-associated cancers and disorders (3 papers) and Immune cells in cancer (2 papers). Su-Xia Lin collaborates with scholars based in China and Hong Kong. Su-Xia Lin's co-authors include Hong-Yun Zhao, Jing Zeng, Fei Xu, Qiu-Liang Wu, Xin-Ke Zhang, Li Zhang, Hui-Qiang Huang, Mian Xie, Yan Gao and Yi Xia and has published in prestigious journals such as PLoS ONE, Oncotarget and Journal of Thoracic Oncology.

In The Last Decade

Su-Xia Lin

9 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Su-Xia Lin China	8	140	93	82	82	75	9	284
Karen L. Burger United States	7	64 0.5×	36 0.4×	95 1.2×	49 0.6×	49 0.7×	9	265
Lorena Barclay Canada	5	200 1.4×	95 1.0×	137 1.7×	169 2.1×	16 0.2×	7	376
G Stranks United Kingdom	7	182 1.3×	58 0.6×	125 1.5×	153 1.9×	13 0.2×	8	331
Lijun Shen China	6	139 1.0×	109 1.2×	87 1.1×	148 1.8×	10 0.1×	13	265
Sunhee S. Kim United States	7	141 1.0×	21 0.2×	76 0.9×	94 1.1×	14 0.2×	12	237
Teresa Poggio Italy	8	92 0.7×	70 0.8×	150 1.8×	64 0.8×	10 0.1×	15	279
Benjamin T. Goetz United States	9	73 0.5×	60 0.6×	184 2.2×	14 0.2×	25 0.3×	12	300
Mio Yamamoto‐Sugitani Japan	10	94 0.7×	95 1.0×	219 2.7×	91 1.1×	18 0.2×	18	363
Carmine Dell’Aglio Italy	8	93 0.7×	35 0.4×	116 1.4×	28 0.3×	26 0.3×	8	246
María-Jesús Artiga Spain	7	98 0.7×	52 0.6×	74 0.9×	152 1.9×	8 0.1×	7	243

Countries citing papers authored by Su-Xia Lin

Since Specialization

Citations

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

Fields of papers citing papers by Su-Xia Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su-Xia Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Su-Xia Lin. A scholar is included among the top collaborators of Su-Xia 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 Su-Xia Lin. Su-Xia Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Wang, Xiao-Xiao, Pengfei Li, Bing Bai, et al.. (2019). Differential clinical significance of pre-, interim-, and post-treatment plasma Epstein–Barr virus DNA load in NK/T-cell lymphoma treated with P-GEMOX protocol. Leukemia & lymphoma. 60(8). 1917–1925. 13 indexed citations

2.

Li, Lei, Hong Yang, Yan Li, et al.. (2018). Hypoxia restrains the expression of complement component 9 in tumor-associated macrophages promoting non-small cell lung cancer progression. Cell Death Discovery. 4(1). 63–63. 17 indexed citations

3.

Zeng, Jing, et al.. (2016). Expression of programmed cell death-ligand 1 and its correlation with clinical outcomes in gliomas. Oncotarget. 7(8). 8944–8955. 59 indexed citations

4.

Yan, Zheng, Hui-Qiang Huang, Xiao-Xiao Wang, et al.. (2015). A TNM Staging System for Nasal NK/T-Cell Lymphoma. PLoS ONE. 10(6). e0130984–e0130984. 17 indexed citations

5.

Li, Mei, Su-Xia Lin, Ying Guo, et al.. (2014). Prognostic significance of thymidylate synthase in postoperative non-small cell lung cancer patients. OncoTargets and Therapy. 7. 1301–1301. 11 indexed citations

6.

Zhang, Fen, Li‐Xu Yan, Su-Xia Lin, et al.. (2013). Immunophenotypic features and t(14;18) (q32;q21) translocation of Chinese follicular lymphomas helps to distinguish subgroups. Diagnostic Pathology. 8(1). 154–154. 3 indexed citations

7.

Zhao, Hong-Yun, et al.. (2012). Evaluations of biomarkers associated with sensitivity to 5-fluorouracil and taxanes for recurrent/advanced breast cancer patients treated with capecitabine-based first-line chemotherapy. Anti-Cancer Drugs. 23(5). 534–542. 16 indexed citations

8.

Xie, Mian, et al.. (2012). Prognostic Significance of TAZ Expression in Resected Non-Small Cell Lung Cancer. Journal of Thoracic Oncology. 7(5). 799–807. 77 indexed citations

9.

Cai, Qi-Chun, Su-Xia Lin, Yi Xia, et al.. (2011). High expression of tumor-infiltrating macrophages correlates with poor prognosis in patients with diffuse large B-cell lymphoma. Medical Oncology. 29(4). 2317–2322. 71 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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