Xia He

437 total citations
13 papers, 322 citations indexed

About

Xia He is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Xia He has authored 13 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Epidemiology. Recurrent topics in Xia He's work include Inflammatory Biomarkers in Disease Prognosis (5 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). Xia He is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (5 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). Xia He collaborates with scholars based in China, Slovakia and United States. Xia He's co-authors include Shulin Chen, Hao Chen, Linfang Li, Qiuyao Zeng, Xiaohua Liu, Jing‐Ping Zhang, Tao Zeng, Ning Xue, Wanli Liu and Shan Xing and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Annals of Oncology.

In The Last Decade

Xia He

13 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xia He China 10 173 132 59 59 58 13 322
Wanli Liu China 11 244 1.4× 87 0.7× 78 1.3× 73 1.2× 84 1.4× 18 392
Lianfang Pu China 8 192 1.1× 60 0.5× 44 0.7× 43 0.7× 50 0.9× 21 324
Kensaku Ito Japan 14 258 1.5× 311 2.4× 71 1.2× 23 0.4× 54 0.9× 35 499
An Hsu Taiwan 6 116 0.7× 56 0.4× 75 1.3× 17 0.3× 136 2.3× 7 369
Yong Fang China 12 124 0.7× 208 1.6× 143 2.4× 86 1.5× 32 0.6× 41 400
Gary W. Jean United States 7 239 1.4× 92 0.7× 56 0.9× 35 0.6× 37 0.6× 14 375
Ardaman Shergill United States 12 218 1.3× 105 0.8× 74 1.3× 56 0.9× 96 1.7× 70 387
Sema Sezgin Göksu Türkiye 11 206 1.2× 113 0.9× 66 1.1× 51 0.9× 56 1.0× 52 355
K.R. Durrant United Kingdom 7 129 0.7× 103 0.8× 85 1.4× 39 0.7× 66 1.1× 14 279
Israh Akhtar United States 10 86 0.5× 80 0.6× 102 1.7× 55 0.9× 47 0.8× 37 331

Countries citing papers authored by Xia He

Since Specialization
Citations

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

Fields of papers citing papers by Xia He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xia He

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

All Works

13 of 13 papers shown
1.
He, Xia, Ning Xue, Xiaohua Liu, et al.. (2021). A novel clinical model for predicting malignancy of solitary pulmonary nodules: a multicenter study in chinese population. Cancer Cell International. 21(1). 115–115. 6 indexed citations
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Chen, Shulin, Yanzhen Lai, Jianpei Li, et al.. (2018). Establishment and validation of a predictive nomogram model for non-small cell lung cancer patients with chronic hepatitis B viral infection. Journal of Translational Medicine. 16(1). 116–116. 19 indexed citations
6.
Han, Yue, Yuexiang Qin, Xia He, et al.. (2018). [Prognostic significance of inflammatory indicators for advanced-stage diffuse large B-cell lymphoma].. PubMed. 98(16). 1250–1255. 5 indexed citations
7.
Zeng, Qiuyao, Ning Xue, Danian Dai, et al.. (2017). A Nomogram based on Inflammatory Factors C-Reactive Protein and Fibrinogen to Predict the Prognostic Value in Patients with Resected Non-Small Cell Lung Cancer. Journal of Cancer. 8(5). 744–753. 29 indexed citations
8.
Chen, Shulin, Ning Xue, Hao Chen, et al.. (2016). Influence of Preoperative Serum Aspartate Aminotransferase (AST) Level on the Prognosis of Patients with Non-Small Cell Lung Cancer. International Journal of Molecular Sciences. 17(9). 1474–1474. 23 indexed citations
9.
Chen, Shulin, Xiao-Min Liu, Xia He, et al.. (2016). A Novel Inflammation-Based Stage (I Stage) Predicts Overall Survival of Patients with Nasopharyngeal Carcinoma. International Journal of Molecular Sciences. 17(11). 1900–1900. 28 indexed citations
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Xu, Lin, Zhu Wang, Xiaofei Li, et al.. (2013). Screening and identification of significant genes related to tumor metastasis and PSMA in prostate cancer using microarray analysis. Oncology Reports. 30(4). 1920–1928. 23 indexed citations
13.
He, Xia, Dingmei Zhang, Wang Zhu, et al.. (2012). Surveillance and Genome Analysis of Human Bocavirus in Patients with Respiratory Infection in Guangzhou, China. PLoS ONE. 7(9). e44876–e44876. 24 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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