Haiying Fan

501 total citations
9 papers, 364 citations indexed

About

Haiying Fan is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Haiying Fan has authored 9 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Haiying Fan's work include Glycosylation and Glycoproteins Research (2 papers), RNA modifications and cancer (2 papers) and Immune Response and Inflammation (2 papers). Haiying Fan is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), RNA modifications and cancer (2 papers) and Immune Response and Inflammation (2 papers). Haiying Fan collaborates with scholars based in United States and China. Haiying Fan's co-authors include Baogui Sun, Anne Lafond-Walker, Qiuping Gu, Suyi Cao, Lewis C. Becker, Brent W. Weston, Xingming Gao, Binghe Wang, Shouhai Gao and John L. Carson and has published in prestigious journals such as PLoS ONE, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Molecular and Cellular Cardiology.

In The Last Decade

Haiying Fan

9 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiying Fan United States 7 190 70 64 53 48 9 364
Jia Gao China 10 168 0.9× 84 1.2× 68 1.1× 30 0.6× 15 0.3× 24 395
Juanjuan Xie China 9 275 1.4× 101 1.4× 27 0.4× 33 0.6× 95 2.0× 19 385
Metin Çetįn Türkiye 11 128 0.7× 62 0.9× 26 0.4× 26 0.5× 58 1.2× 24 327
Ying Bai China 12 111 0.6× 67 1.0× 26 0.4× 26 0.5× 21 0.4× 32 342
Huijiao Liu China 13 240 1.3× 143 2.0× 29 0.5× 32 0.6× 12 0.3× 23 447
Alex Goldstein United States 13 262 1.4× 95 1.4× 58 0.9× 35 0.7× 8 0.2× 19 517
Yutong Wang China 12 248 1.3× 148 2.1× 21 0.3× 27 0.5× 46 1.0× 39 447
Yukiko Takeda Japan 10 241 1.3× 30 0.4× 54 0.8× 25 0.5× 15 0.3× 22 478
Zhiyong Ke China 15 325 1.7× 136 1.9× 16 0.3× 38 0.7× 34 0.7× 45 598

Countries citing papers authored by Haiying Fan

Since Specialization
Citations

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

Fields of papers citing papers by Haiying Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiying Fan

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

All Works

9 of 9 papers shown
1.
Fan, Haiying, et al.. (2020). LncRNA HAND2‐AS1 represses cervical cancer progression by interaction with transcription factor E2F4 at the promoter of C16orf74. Journal of Cellular and Molecular Medicine. 24(11). 6015–6027. 30 indexed citations
2.
Zhang, Yuanyuan, et al.. (2020). Downregulation of SBF2-AS1 functions as a tumor suppressor in clear cell renal cell carcinoma by inhibiting miR-338-3p-targeted ETS1. Cancer Gene Therapy. 28(7-8). 813–827. 22 indexed citations
3.
Cheng, Shiming, Deanna Tollefson, Guangxue He, et al.. (2018). Evaluating a framework for tuberculosis screening among healthcare workers in clinical settings, Inner Mongolia, China. Journal of Occupational Medicine and Toxicology. 13(1). 11–11. 4 indexed citations
4.
Fan, Haiying, et al.. (2017). Identification of 2 Potentially Relevant Gene Mutations Involved in Strabismus Using Whole-Exome Sequencing. Medical Science Monitor. 23. 1719–1724. 3 indexed citations
5.
Gao, Xingming, Mengyuan Zhu, Haiying Fan, et al.. (2015). A fluorescent bisboronic acid compound that selectively labels cells expressing oligosaccharide Lewis X. Bioorganic & Medicinal Chemistry Letters. 25(12). 2501–2504. 10 indexed citations
6.
Taylor‐Cousar, Jennifer L., Maimoona A. Zariwala, Lauranell H. Burch, et al.. (2009). Histo-Blood Group Gene Polymorphisms as Potential Genetic Modifiers of Infection and Cystic Fibrosis Lung Disease Severity. PLoS ONE. 4(1). e4270–e4270. 29 indexed citations
7.
Yang, Wenqian, Haiying Fan, Xingming Gao, et al.. (2004). The First Fluorescent Diboronic Acid Sensor Specific for Hepatocellular Carcinoma Cells Expressing Sialyl Lewis X. Chemistry & Biology. 11(4). 439–448. 125 indexed citations
8.
Fan, Haiying, Baogui Sun, Qiuping Gu, et al.. (2002). Oxygen radicals trigger activation of NF-κB and AP-1 and upregulation of ICAM-1 in reperfused canine heart. American Journal of Physiology-Heart and Circulatory Physiology. 282(5). H1778–H1786. 106 indexed citations
9.
Sun, Baogui, Haiying Fan, Toshio Honda, et al.. (2001). Activation of NF κ B and Expression of ICAM-1 in Ischemic–reperfused Canine Myocardium. Journal of Molecular and Cellular Cardiology. 33(1). 109–119. 35 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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