Xiaobin Lin

1.8k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Xiaobin Lin is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaobin Lin has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaobin Lin's work include Epigenetics and DNA Methylation (4 papers), Immune cells in cancer (4 papers) and Cancer Cells and Metastasis (3 papers). Xiaobin Lin is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Immune cells in cancer (4 papers) and Cancer Cells and Metastasis (3 papers). Xiaobin Lin collaborates with scholars based in China, Netherlands and United States. Xiaobin Lin's co-authors include Chaogang Yang, Dongdong Shi, Bin Xiong, Shuyi Wang, Rongzhang Dou, Wei Chen, Qing Liu, Chunxiao Zhang, Wei Chen and Chunxiao Zhang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Xiaobin Lin

14 papers receiving 1.1k citations

Hit Papers

Crosstalk between cancer cells and tumor associated macro... 2019 2026 2021 2023 2019 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Crosstalk between cancer cells and tumor associated macrophages is required for mesenchymal circulating tumor cell-mediated colorectal cancer metastasis
    2019 609 citations Wei Chen, Chaogang Yang et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobin Lin China 8 508 502 477 328 163 16 1.1k
Aiqin Gao China 16 577 1.1× 391 0.8× 669 1.4× 289 0.9× 208 1.3× 38 1.3k
Shenghua Zhan China 16 377 0.7× 435 0.9× 312 0.7× 267 0.8× 110 0.7× 34 954
David A. Leinster United Kingdom 6 486 1.0× 383 0.8× 485 1.0× 246 0.8× 68 0.4× 7 1.1k
Camille Lehuédé Canada 7 533 1.0× 521 1.0× 290 0.6× 507 1.5× 113 0.7× 9 1.2k
Jen‐Yu Hung Taiwan 18 439 0.9× 788 1.6× 276 0.6× 570 1.7× 363 2.2× 46 1.4k
Susumu Inamoto Japan 15 601 1.2× 371 0.7× 338 0.7× 253 0.8× 109 0.7× 32 1.1k
Qijia Xuan China 18 511 1.0× 325 0.6× 223 0.5× 241 0.7× 161 1.0× 30 922
Giovanna Talarico Italy 16 396 0.8× 430 0.9× 256 0.5× 188 0.6× 80 0.5× 34 875

Countries citing papers authored by Xiaobin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobin Lin

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

All Works

16 of 16 papers shown
1.
2.
Wen, Qirong, Xiaohui Xie, Yaqiong Liu, et al.. (2023). Lipid reprogramming induced by the NNMT-ABCA1 axis enhanced membrane fluidity to promote endometrial cancer progression. Aging. 15(21). 11860–11874. 7 indexed citations
3.
Zheng, Yifan, Yan Tang, Tao-Hsing Chang, et al.. (2022). Evaluation of quality and readability of over-the-counter medication package inserts. Research in Social and Administrative Pharmacy. 18(9). 3560–3567. 5 indexed citations
4.
5.
Long, Dan, et al.. (2021). KDELC1 and TRMT1 Serve as Prognosis-Related SARS-CoV-2 Proteins Binding Human mRNAs and Promising Biomarkers in Clear Cell Renal Cell Carcinoma. International Journal of General Medicine. Volume 14. 2475–2490. 7 indexed citations
6.
Long, Dan, et al.. (2021). IQGAP3 May Serve as a Promising Biomarker in Clear Cell Renal Cell Carcinoma. International Journal of General Medicine. Volume 14. 3469–3484. 3 indexed citations
7.
Dou, Rongzhang, Keshu Liu, Chaogang Yang, et al.. (2021). EMT‐cancer cells‐derived exosomal miR‐27b‐3p promotes circulating tumour cells‐mediated metastasis by modulating vascular permeability in colorectal cancer. SHILAP Revista de lepidopterología. 11(12). e595–e595. 93 indexed citations
8.
Liu, Qing, Chaogang Yang, Shuyi Wang, et al.. (2020). Wnt5a-induced M2 polarization of tumor-associated macrophages via IL-10 promotes colorectal cancer progression. Cell Communication and Signaling. 18(1). 51–51. 153 indexed citations
9.
Yang, Chaogang, Wei Chen, Shu‐Yi Wang, et al.. (2019). Combined Features Based on Preoperative Controlling Nutritional Status Score and Circulating Tumour Cell Status Predict Prognosis for Colorectal Cancer Patients Treated with Curative Resection. International Journal of Biological Sciences. 15(6). 1325–1335. 26 indexed citations
10.
Chen, Wei, Chaogang Yang, Shuyi Wang, et al.. (2019). <p>M2 macrophages confer resistance to 5-fluorouracil in colorectal cancer through the activation of CCL22/PI3K/AKT signaling</p>. OncoTargets and Therapy. Volume 12. 3051–3063. 79 indexed citations
11.
Yang, Chaogang, Wei Chen, Shuyi Wang, et al.. (2019). Elevated CD163+/CD68+ Ratio at Tumor Invasive Front is Closely Associated with Aggressive Phenotype and Poor Prognosis in Colorectal Cancer. International Journal of Biological Sciences. 15(5). 984–998. 101 indexed citations
12.
Chen, Wei, Chaogang Yang, Shuyi Wang, et al.. (2019). Crosstalk between cancer cells and tumor associated macrophages is required for mesenchymal circulating tumor cell-mediated colorectal cancer metastasis. Molecular Cancer. 18(1). 64–64. 609 indexed citations breakdown →
13.
Lin, Xiaobin, et al.. (2018). Research on Calculation Algorithms of Sea Target Velocity and Course for Sea Radar. SHILAP Revista de lepidopterología. 175. 3044–3044. 1 indexed citations
14.
Zou, Kun, et al.. (2017). Clinicopathological and prognostic significance of circulating tumor cells in patients with head and neck cancer: a meta-analysis. OncoTargets and Therapy. Volume 10. 3907–3916. 13 indexed citations
15.
Lin, Xiaobin, Onno G. Meijer, Jianhua Lin, et al.. (2015). Frontal plane kinematics in walking with moderate hip osteoarthritis: Stability and fall risk. Clinical Biomechanics. 30(8). 874–880. 26 indexed citations
16.
Ter‐Minassian, Monica, Christine Frauenhoffer, Susanne M. Hooshmand, et al.. (2010). Prospective analysis of clinical outcomes and prognostic factors in patients with neuroendocrine tumors (NETs).. Journal of Clinical Oncology. 28(15_suppl). 4044–4044. 4 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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