Yinan Su

2.1k total citations · 2 hit papers
24 papers, 1.4k citations indexed

About

Yinan Su is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yinan Su has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yinan Su's work include Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (7 papers) and MicroRNA in disease regulation (5 papers). Yinan Su is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (7 papers) and MicroRNA in disease regulation (5 papers). Yinan Su collaborates with scholars based in China and United States. Yinan Su's co-authors include Zhibin Zhu, Xia Zhang, Deliang Huang, Lei Liu, Jun Chen, Qing He, Qingxian Cai, Jizhou Gou, Yan Sun and Zhiwei Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and ACS Applied Materials & Interfaces.

In The Last Decade

Yinan Su

22 papers receiving 1.3k citations

Hit Papers

COVID-19: Abnormal liver function tests 2020 2026 2022 2024 2020 2020 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. COVID-19: Abnormal liver function tests
    2020 708 citations Qingxian Cai, Deliang Huang et al. Journal of Hepatology profile →
  2. COVID‐19 in a designated infectious diseases hospital outside Hubei Province, China
    2020 372 citations Qingxian Cai, Deliang Huang et al. Allergy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yinan Su China 12 942 478 324 207 199 24 1.4k
Zhiwei Li China 17 691 0.7× 319 0.7× 489 1.5× 375 1.8× 223 1.1× 72 1.6k
Yuxiao Song China 9 650 0.7× 330 0.7× 99 0.3× 67 0.3× 157 0.8× 17 1.1k
Katayoon Goodarzi United States 12 683 0.7× 321 0.7× 145 0.4× 209 1.0× 147 0.7× 27 1.6k
Fien A. von Meijenfeldt Netherlands 13 430 0.5× 212 0.4× 121 0.4× 171 0.8× 182 0.9× 17 863
Qianwen Li China 12 642 0.7× 349 0.7× 124 0.4× 43 0.2× 169 0.8× 26 1.2k
Wenlin Cheng China 14 323 0.3× 214 0.4× 92 0.3× 83 0.4× 281 1.4× 33 891
Rong Yao China 13 195 0.2× 87 0.2× 129 0.4× 101 0.5× 224 1.1× 42 700
Qikai Wu China 9 407 0.4× 224 0.5× 112 0.3× 127 0.6× 398 2.0× 32 1.0k

Countries citing papers authored by Yinan Su

Since Specialization
Citations

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

Fields of papers citing papers by Yinan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Yinan Su. A scholar is included among the top collaborators of Yinan Su 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 Yinan Su. Yinan Su 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.
Zou, Bo, Ning Li, Zhongyi Fan, et al.. (2024). Biomarkers for predicting efficacy of chimeric antigen receptor T cell therapy and their detection methods. SHILAP Revista de lepidopterología. 2(1). 14–26. 1 indexed citations
2.
3.
Zhang, Daxu, Zhanbo Wang, Lianjun Ma, et al.. (2023). Local injection of adipose-derived mesenchymal stem cells in silk fibroin solution on the regeneration of lower esophageal sphincter in an animal model of GERD. Frontiers in Cell and Developmental Biology. 11. 993741–993741.
4.
Chen, Shuo, et al.. (2023). lncRNA RMST suppresses the progression of colorectal cancer by competitively binding to miR-27a-3p/RXRα axis and inactivating Wnt signaling pathway. Acta Biochimica et Biophysica Sinica. 55(5). 726–735. 12 indexed citations
5.
Bandi, Federico M. & Yinan Su. (2022). Conditional Spectral Methods. SSRN Electronic Journal. 1 indexed citations
6.
Wang, Yan, Boxue Wang, Lin Zhang, et al.. (2021). A signature based on 11 autophagy genes for prognosis prediction of colorectal cancer. PLoS ONE. 16(10). e0258741–e0258741. 7 indexed citations
7.
Gu, Xiaolei, Xin Zhao, Xian He, et al.. (2021). NLRP3 ablation enhances tolerance in heat stroke pathology by inhibiting IL-1β-mediated neuroinflammation. Journal of Neuroinflammation. 18(1). 128–128. 32 indexed citations
8.
9.
Cai, Qingxian, Deliang Huang, Hong Yu, et al.. (2020). COVID-19: Abnormal liver function tests. Journal of Hepatology. 73(3). 566–574. 708 indexed citations breakdown →
10.
Cai, Qingxian, Deliang Huang, Pengcheng Ou, et al.. (2020). COVID‐19 in a designated infectious diseases hospital outside Hubei Province, China. Allergy. 75(7). 1742–1752. 372 indexed citations breakdown →
11.
Li, Shuyuan, et al.. (2020). A Robust 6-lncRNA Prognostic Signature for Predicting the Prognosis of Patients With Colorectal Cancer Metastasis. Frontiers in Medicine. 7. 56–56. 24 indexed citations
12.
Chen, Shuo, Yan Wang, Mingyue Xu, et al.. (2020). miR-1184 regulates the proliferation and apoptosis of colon cancer cells via targeting CSNK2A1. Molecular and Cellular Probes. 53. 101625–101625. 19 indexed citations
13.
Ou, Pengcheng, Hong Yu, Zhibin Zhu, et al.. (2020). 2019-nCoV Pneumonia in a Normal Work Infectious Diseases Hospital Besides Hubei Province, China. SSRN Electronic Journal. 11 indexed citations
14.
Li, Shuyuan, et al.. (2020). The long noncoding RNA LINC00341 suppresses colorectal carcinoma by preventing cell migration and apoptosis. Cell Biochemistry and Function. 38(3). 266–274. 3 indexed citations
15.
16.
Chen, Shuo, Lin Zhang, Yinan Su, & Xipeng Zhang. (2018). Screening potential biomarkers for colorectal cancer based on circular RNA chips. Oncology Reports. 39(6). 2499–2512. 49 indexed citations
17.
Su, Yinan, et al.. (2018). Construction of an miRNA–mRNA regulatory network in colorectal cancer with bioinformatics methods. Anti-Cancer Drugs. 30(6). 588–595. 9 indexed citations
18.
Su, Yinan, et al.. (2017). Effect of donor in brain death on liver transplantation. Zhonghua gan-dan waike zazhi. 23(5). 351–354. 1 indexed citations
19.
Chen, Shuo, Yan Wang, Lin Zhang, et al.. (2017). Exploration of the mechanism of colorectal cancer metastasis using microarray analysis. Oncology Letters. 14(6). 6671–6677. 14 indexed citations
20.
Su, Yinan. (2017). The Reflection Channel of Shock Transmission in Production Networks. SSRN Electronic Journal. 2 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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