Haixi Yan

2.5k total citations
12 papers, 270 citations indexed

About

Haixi Yan is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Haixi Yan has authored 12 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 6 papers in Cancer Research and 2 papers in Molecular Biology. Recurrent topics in Haixi Yan's work include Inflammatory Biomarkers in Disease Prognosis (4 papers), Cancer, Lipids, and Metabolism (4 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Haixi Yan is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (4 papers), Cancer, Lipids, and Metabolism (4 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Haixi Yan collaborates with scholars based in China, United Kingdom and Belgium. Haixi Yan's co-authors include Shiyong Chen, Juping Du, Minfei Peng, Bo Shen, Jing Wang, Xiaojie Bi, Linping Chen, Jun Li, Chunlong Wu and Shuaishuai Chen and has published in prestigious journals such as Annals of Oncology, Frontiers in Immunology and Cancer Letters.

In The Last Decade

Haixi Yan

11 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haixi Yan China 7 103 96 85 50 40 12 270
Dominic Kaddu‐Mulindwa Germany 8 100 1.0× 71 0.7× 38 0.4× 37 0.7× 20 0.5× 37 296
Visvakanth Sivanathan Germany 10 69 0.7× 43 0.4× 52 0.6× 20 0.4× 24 0.6× 30 207
Alexander Farahani United States 6 108 1.0× 63 0.7× 53 0.6× 12 0.2× 19 0.5× 7 373
Petra Petranović Ovčariček Switzerland 13 84 0.8× 72 0.8× 84 1.0× 41 0.8× 120 3.0× 43 572
Aaron J. Feinstein United States 11 124 1.2× 63 0.7× 95 1.1× 19 0.4× 16 0.4× 18 339
Anabela Cardoso United States 8 78 0.8× 93 1.0× 18 0.2× 69 1.4× 12 0.3× 18 481
Haoting Zhan China 9 36 0.3× 90 0.9× 37 0.4× 25 0.5× 10 0.3× 38 300
Weibo Gao China 9 63 0.6× 148 1.5× 18 0.2× 60 1.2× 75 1.9× 30 354
Fahrettin Covut United States 9 68 0.7× 123 1.3× 24 0.3× 101 2.0× 8 0.2× 39 312
Karin Menhart Germany 9 57 0.6× 20 0.2× 38 0.4× 17 0.3× 46 1.1× 22 263

Countries citing papers authored by Haixi Yan

Since Specialization
Citations

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

Fields of papers citing papers by Haixi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haixi Yan

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

All Works

12 of 12 papers shown
1.
Zheng, Jing, Ying Zhang, Jing Wang, et al.. (2025). Study on the dynamic changes in antinuclear antibody spectrum in SARS-CoV-2 infection: a retrospective analysis. BMC Infectious Diseases. 25(1). 1410–1410.
2.
Bowes, Amy L., Sara Waise, Tom Lesluyes, et al.. (2025). Profiling the genomic landscape and evolutionary history of polyploid giant cancer cells in undifferentiated pleomorphic sarcomas. Cancer Letters. 639. 218173–218173. 1 indexed citations
3.
Baker, Toby M., Tom Lesluyes, Haixi Yan, et al.. (2024). The History of Chromosomal Instability in Genome-Doubled Tumors. Cancer Discovery. 14(10). 1810–1822. 1 indexed citations
4.
Du, Juping, Shuaishuai Chen, Na Wang, et al.. (2022). NFIL3 and its immunoregulatory role in rheumatoid arthritis patients. Frontiers in Immunology. 13. 950144–950144. 19 indexed citations
5.
Yan, Haixi, et al.. (2021). Preoperative prealbumin-to-fibrinogen ratio to predict survival outcomes in hepatocellular carcinoma patients after hepatic resection. Journal of Medical Biochemistry. 41(3). 290–298. 3 indexed citations
6.
Zheng, Yufen, Chunlong Wu, Haixi Yan, & Shiyong Chen. (2020). Prognostic value of combined preoperative fibrinogen-albumin ratio and platelet-lymphocyte ratio score in patients with breast cancer: A prognostic nomogram study. Clinica Chimica Acta. 506. 110–121. 28 indexed citations
7.
Huang, Shigao, Chunyan Xu, Shixiao Li, et al.. (2020). The prognostic relevance and expression of progranulin in adult patients with acute myeloid leukemia. Medicine. 99(1). e18574–e18574. 6 indexed citations
8.
Bi, Xiaojie, Haixi Yan, Juping Du, et al.. (2020). Prediction of severe illness due to COVID-19 based on an analysis of initial Fibrinogen to Albumin Ratio and Platelet count. Platelets. 31(5). 674–679. 120 indexed citations
9.
Yan, Haixi, et al.. (2019). Preoperative lymphocyte-to-monocyte ratio versus platelet-to-lymphocyte ratio as a prognostic predictor for non-small cell lung cancer patients. Journal of Medical Biochemistry. 0(0). 160–164. 3 indexed citations
10.
Chen, Shuaishuai, Haixi Yan, Jun Li, et al.. (2018). Prognostic significance of pre-resection albumin/fibrinogen ratio in patients with non-small cell lung cancer: A propensity score matching analysis. Clinica Chimica Acta. 482. 203–208. 32 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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