Haijun Yang

1.8k total citations
68 papers, 989 citations indexed

About

Haijun Yang is a scholar working on Surgery, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Haijun Yang has authored 68 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Surgery, 24 papers in Molecular Biology and 20 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Haijun Yang's work include Esophageal Cancer Research and Treatment (25 papers), Gastric Cancer Management and Outcomes (12 papers) and Pancreatic and Hepatic Oncology Research (8 papers). Haijun Yang is often cited by papers focused on Esophageal Cancer Research and Treatment (25 papers), Gastric Cancer Management and Outcomes (12 papers) and Pancreatic and Hepatic Oncology Research (8 papers). Haijun Yang collaborates with scholars based in China, United States and Ethiopia. Haijun Yang's co-authors include Fuyou Zhou, Ruiping Xu, Yaqi Pan, Hong Cai, Ke Yang, Baozhong Li, Zhisong He, Qingqu Guo, Zhen Liu and Mengfei Liu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Haijun Yang

65 papers receiving 976 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haijun Yang China 17 487 312 293 223 207 68 989
Ghazi Alsbeih Saudi Arabia 19 508 1.0× 126 0.4× 316 1.1× 270 1.2× 245 1.2× 54 1.2k
Chun-Hung Hua Taiwan 18 465 1.0× 180 0.6× 177 0.6× 322 1.4× 138 0.7× 33 1.0k
Hanqing Hu China 17 608 1.2× 150 0.5× 531 1.8× 310 1.4× 128 0.6× 63 1.1k
Maartje Noordhuis Netherlands 14 524 1.1× 115 0.4× 232 0.8× 218 1.0× 170 0.8× 24 933
Madhu Mati Goel India 17 380 0.8× 121 0.4× 206 0.7× 155 0.7× 71 0.3× 39 994
Christina Michailidi United States 15 475 1.0× 100 0.3× 225 0.8× 187 0.8× 150 0.7× 23 808
Hai-De Qin China 16 403 0.8× 146 0.5× 289 1.0× 340 1.5× 90 0.4× 18 926
Ravindran Ankathil Malaysia 22 649 1.3× 86 0.3× 251 0.9× 318 1.4× 94 0.5× 99 1.3k
E. Mezza Italy 15 255 0.5× 281 0.9× 70 0.2× 159 0.7× 158 0.8× 27 715
Denise Peixoto Guimarães Brazil 17 387 0.8× 214 0.7× 186 0.6× 468 2.1× 173 0.8× 66 924

Countries citing papers authored by Haijun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Haijun Yang. A scholar is included among the top collaborators of Haijun Yang 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 Haijun Yang. Haijun Yang 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.
Liu, Mengfei, Zhen Liu, Haijun Yang, et al.. (2025). Absolute Risk Prediction for Esophageal Squamous Cell Carcinoma Adaptable to Regional Disease Burden across Diverse Regions. Cancer Epidemiology Biomarkers & Prevention. 34(4). 510–517.
2.
Liu, Xinwei, Bing Wu, Yiyun Zhang, et al.. (2025). Health poverty reduction effect of medical insurance in China’s middle-aged and elderly populations: a cross-sectional study. BMJ Open. 15(4). e085226–e085226.
3.
Liu, Mengfei, Wenlei Yang, Chuanhai Guo, et al.. (2024). Effectiveness of Endoscopic Screening on Esophageal Cancer Incidence and Mortality: A 9-Year Report of the Endoscopic Screening for Esophageal Cancer in China (ESECC) Randomized Trial. Journal of Clinical Oncology. 42(14). 1655–1664. 16 indexed citations
4.
Liu, Mengfei, Chuanhai Guo, Haijun Yang, et al.. (2023). How should extra‐large Lugol‐unstained lesions of the esophagus be treated? Results from a population‐based cohort study. Cancer Medicine. 12(19). 20129–20139. 2 indexed citations
5.
Li, Junkuo, et al.. (2022). Effects of the Methylation Levels for the Breast Cancer Associated Genes BCSG1 and BRCA1 on Cellular Proliferation and Migration. Genetic Testing and Molecular Biomarkers. 26(9). 422–429. 1 indexed citations
6.
Ke, Yumin, et al.. (2022). Combination of Estrogen Receptor Alpha and Histological Type Helps to Predict Lymph Node Metastasis in Patients with Stage IA2 to IIA2 Cervical Cancer. SHILAP Revista de lepidopterología. 2 indexed citations
7.
Wang, Xiaopeng, Yiwen Liu, Yannan Lu, et al.. (2021). Clinical impact of Fn-induced high expression of KIR2DL1 in CD8 T lymphocytes in oesophageal squamous cell carcinoma. Annals of Medicine. 54(1). 51–62. 14 indexed citations
8.
Lin, Yusheng, Hongmei Dong, Wan‐Wan Lin, et al.. (2019). Evaluation of Salivary Exosomal Chimeric GOLM1-NAA35 RNA as a Potential Biomarker in Esophageal Carcinoma. Clinical Cancer Research. 25(10). 3035–3045. 79 indexed citations
10.
Yang, Haijun, et al.. (2016). Biodiversity Monitoring and Assessment Using Remote Sensing Technology at County’s Scale. Yaogan jishu yu yingyong. 30(6). 1138–1145. 4 indexed citations
11.
Yang, Haijun, et al.. (2016). Taxonomic study on Armeniaca Scop. species in China based on thirty morphological characters.. Zhiwu ziyuan yu huanjing. 25(3). 103–111. 4 indexed citations
12.
Li, Junkuo, Zhiqiang Liu, Zhizhong Zhang, et al.. (2015). [Predictive value of P53, Ki-67, HER2 protein detection in neoadjuvant chemotherapy for adenocarcinoma of gastroesophageal junction].. PubMed. 18(9). 901–4. 3 indexed citations
13.
Chen, Yongshun, Ying Wang, Jin Wang, et al.. (2014). Expression profile of apoptosis-related genes potentially explains early recurrence after definitive chemoradiation in esophageal squamous cell carcinoma. Tumor Biology. 35(5). 4339–4346. 10 indexed citations
15.
Yang, Haijun, et al.. (2010). Studies on leaf morphological characters and numerical classification of Medicago sativa complex.. Zhiwu ziyuan yu huanjing. 19(3). 1–9. 1 indexed citations
16.
Yang, Haijun, et al.. (2010). Studies on morphological characters and numerical classification of Medicago L. and Trigonella L. species. Zhiwu ziyuan yu huanjing. 19(4). 1–11. 1 indexed citations
17.
Yang, Haijun, et al.. (2006). Studies on the Floristic Composition and Genesis of the Wild Fruit Forest in Tianshan Mountains in China. Forest Research Open Access. 19(5). 555–560. 2 indexed citations
18.
Wang, Chun‐Jing & Haijun Yang. (2006). Diversity of Aquatic Vascular Plants in Anhui Province. Nanjing Linye Daxue xuebao. 1 indexed citations
19.
Yang, Haijun. (2005). Soil Microbial Diversity and Its Action. 3 indexed citations
20.
Yang, Haijun. (2003). Analysis on the components and resource situation of seed plants in the w ild fruit forest in Tianshan Mountain in China. Zhiwu ziyuan yu huanjing. 7 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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