Jiang Lin

6.3k total citations
258 papers, 4.8k citations indexed

About

Jiang Lin is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Jiang Lin has authored 258 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Molecular Biology, 128 papers in Hematology and 65 papers in Cancer Research. Recurrent topics in Jiang Lin's work include Acute Myeloid Leukemia Research (116 papers), Epigenetics and DNA Methylation (56 papers) and MicroRNA in disease regulation (41 papers). Jiang Lin is often cited by papers focused on Acute Myeloid Leukemia Research (116 papers), Epigenetics and DNA Methylation (56 papers) and MicroRNA in disease regulation (41 papers). Jiang Lin collaborates with scholars based in China, United States and Canada. Jiang Lin's co-authors include Jun Qian, Ji‐chun Ma, Zhaoqun Deng, Xiang‐mei Wen, Dong‐ming Yao, Jing‐dong Zhou, Jing Yang, Zi‐jun Xu, Heiko Hermeking and Huihui Li and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jiang Lin

243 papers receiving 4.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiang Lin China 37 3.2k 1.8k 1.3k 670 509 258 4.8k
Donald L. Durden United States 38 3.3k 1.0× 1.0k 0.6× 543 0.4× 1.1k 1.7× 997 2.0× 108 5.3k
Shawn G. Clouthier United States 29 2.2k 0.7× 1.1k 0.6× 911 0.7× 2.1k 3.2× 1.2k 2.3× 51 4.7k
Elvira Pelosi Italy 47 4.5k 1.4× 2.3k 1.3× 1.9k 1.4× 1.5k 2.2× 1.4k 2.8× 170 7.9k
Ann Zeuner Italy 35 2.4k 0.7× 867 0.5× 553 0.4× 1.4k 2.1× 879 1.7× 72 4.3k
Cornelius Miething Germany 28 3.0k 0.9× 740 0.4× 863 0.6× 1.5k 2.2× 1.2k 2.4× 68 5.1k
Didier Bouscary France 40 3.5k 1.1× 623 0.3× 2.3k 1.7× 1.4k 2.1× 993 2.0× 163 6.3k
Aldo M. Roccaro United States 50 4.5k 1.4× 1.7k 1.0× 2.9k 2.2× 2.0k 2.9× 1.3k 2.6× 203 7.6k
Eishi Ashihara Japan 40 1.9k 0.6× 393 0.2× 1.3k 1.0× 1.0k 1.5× 1.1k 2.1× 193 4.6k
Adam S. Asch United States 31 1.7k 0.5× 579 0.3× 991 0.7× 1.3k 1.9× 1.0k 2.0× 98 4.6k
Edgar Selzer Austria 35 1.7k 0.5× 525 0.3× 624 0.5× 951 1.4× 604 1.2× 106 3.7k

Countries citing papers authored by Jiang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiang Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jiang Lin. A scholar is included among the top collaborators of Jiang 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 Jiang Lin. Jiang 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.
Jiang, Sai, et al.. (2025). Ehretia genus: a comprehensive review of its botany, ethnomedicinal values, phytochemistry, pharmacology, toxicology and clinical studies. Frontiers in Pharmacology. 16. 1526359–1526359. 1 indexed citations
2.
3.
Bin, Peng, Chenhui Li, Zixian Zeng, et al.. (2024). Gatifloxacin hydrochloride confers broad-spectrum antibacterial activity against phytopathogenic bacteria. Frontiers in Microbiology. 15. 1504243–1504243.
4.
5.
Zhang, Ting‐juan, Zi‐jun Xu, Xiang‐mei Wen, et al.. (2022). SLIT2 promoter hypermethylation-mediated SLIT2-IT1/miR-218 repression drives leukemogenesis and predicts adverse prognosis in myelodysplastic neoplasm. Leukemia. 36(10). 2488–2498. 12 indexed citations
6.
Gu, Yu, Zi‐jun Xu, Jing‐dong Zhou, et al.. (2021). Abnormal expression and methylation of PRR34‐AS1 are associated with adverse outcomes in acute myeloid leukemia. Cancer Medicine. 10(15). 5283–5296. 5 indexed citations
7.
Zhang, Ting‐juan, Zi‐jun Xu, Yu Gu, et al.. (2021). Identification and validation of obesity-related gene LEP methylation as a prognostic indicator in patients with acute myeloid leukemia. Clinical Epigenetics. 13(1). 16–16. 14 indexed citations
8.
Lin, Jiang, et al.. (2020). Undescribed benzophenone and xanthones from cave-derived Streptomyces sp. CB09001. Natural Product Research. 36(7). 1725–1733. 7 indexed citations
9.
Zhang, Hongyan, et al.. (2020). MiR-124-5p Inhibits the Progression of Gastric Cancer by Targeting MIEN1. Technology in Cancer Research & Treatment. 19. 1079246847–1079246847. 9 indexed citations
10.
Zhang, Ting‐juan, Zi‐jun Xu, Yu Gu, et al.. (2020). Identification and validation of prognosis‐related DLX5 methylation as an epigenetic driver in myeloid neoplasms. SHILAP Revista de lepidopterología. 10(2). e29–e29. 28 indexed citations
11.
Zhang, Qingwei, Xiaoxuan Zhou, Qiang Liu, et al.. (2020). Comparison of malignancy‐prediction efficiency between contrast and non‐contract CT‐based radiomics features in gastrointestinal stromal tumors: A multicenter study. SHILAP Revista de lepidopterología. 10(3). e291–e291. 20 indexed citations
12.
Zhang, Ting‐juan, Xiang‐mei Wen, Jing‐dong Zhou, et al.. (2019). <p><em>SOX30</em> methylation correlates with disease progression in patients with chronic myeloid leukemia</p>. OncoTargets and Therapy. Volume 12. 4789–4794. 9 indexed citations
13.
Zhang, Ting‐juan, Zi‐jun Xu, Yu Gu, et al.. (2019). EZH2 dysregulation: Potential biomarkers predicting prognosis and guiding treatment choice in acute myeloid leukaemia. Journal of Cellular and Molecular Medicine. 24(2). 1640–1649. 10 indexed citations
14.
Li, Xixi, Jing‐dong Zhou, Xiang‐mei Wen, et al.. (2019). <p>Increased <em>MCL-1</em> expression predicts poor prognosis and disease recurrence in acute myeloid leukemia</p>. OncoTargets and Therapy. Volume 12. 3295–3304. 32 indexed citations
15.
Zhao, Menglong, Zhuang Liu, Lili Dong, et al.. (2018). A GPC3-specific aptamer-mediated magnetic resonance probe for hepatocellular carcinoma. International Journal of Nanomedicine. Volume 13. 4433–4443. 37 indexed citations
16.
Yang, Lan, Jing‐dong Zhou, Ting‐juan Zhang, et al.. (2018). Overexpression of lncRNA <em>PANDAR </em>predicts adverse prognosis in acute myeloid leukemia. Cancer Management and Research. Volume 10. 4999–5007. 30 indexed citations
17.
Zhang, Ting‐juan, Jing‐dong Zhou, Dongqin Yang, et al.. (2017). TET2 expression is a potential prognostic and predictive biomarker in cytogenetically normal acute myeloid leukemia. Journal of Cellular Physiology. 233(8). 5838–5846. 25 indexed citations
18.
Zhou, Jing‐dong, Jiang Lin, Ting‐juan Zhang, et al.. (2017). Hypomethylation‐mediated H19 overexpression increases the risk of disease evolution through the association with BCR‐ABL transcript in chronic myeloid leukemia. Journal of Cellular Physiology. 233(3). 2444–2450. 24 indexed citations
19.
Guo, Hong, Jiang Lin, Jing Yang, et al.. (2014). Decreased SFRP2 expression is associated with intermediate and poor karyotypes in de novo acute myeloid leukemia.. PubMed. 7(8). 4695–703. 5 indexed citations
20.
Chai, Hai‐yan, Jun Qian, Jiang Lin, et al.. (2013). [Expression of RAGE-1 gene in acute myeloid leukemia].. PubMed. 21(1). 20–4. 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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