Qixia Han

458 total citations
10 papers, 300 citations indexed

About

Qixia Han is a scholar working on Oncology, Cancer Research and Genetics. According to data from OpenAlex, Qixia Han has authored 10 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Qixia Han's work include Breast Cancer Treatment Studies (5 papers), Estrogen and related hormone effects (3 papers) and Breast Lesions and Carcinomas (3 papers). Qixia Han is often cited by papers focused on Breast Cancer Treatment Studies (5 papers), Estrogen and related hormone effects (3 papers) and Breast Lesions and Carcinomas (3 papers). Qixia Han collaborates with scholars based in China, United Kingdom and United States. Qixia Han's co-authors include Jiong Wu, Kunwei Shen, Zhenzhou Shen, Zhi‐Ming Shao, Guang‐Yu Liu, Jinsong Lu, Zhenzhou Shen, Sanford H. Barsky, Jingsong Lu and Mai Nguyen and has published in prestigious journals such as PLoS ONE, Cancer and Breast Cancer Research and Treatment.

In The Last Decade

Qixia Han

10 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qixia Han China 6 208 162 85 59 52 10 300
Rebecca J. Patrick United States 11 209 1.0× 192 1.2× 103 1.2× 76 1.3× 49 0.9× 20 318
Nat Pernick United States 7 122 0.6× 129 0.8× 101 1.2× 106 1.8× 56 1.1× 11 316
Katalin Ormándi Hungary 11 153 0.7× 118 0.7× 123 1.4× 32 0.5× 27 0.5× 26 262
Sindhu Menon United Kingdom 7 237 1.1× 221 1.4× 130 1.5× 95 1.6× 89 1.7× 9 365
G D'Eredità Italy 10 254 1.2× 175 1.1× 169 2.0× 81 1.4× 26 0.5× 21 359
Gloria J Carter United States 8 167 0.8× 155 1.0× 80 0.9× 49 0.8× 66 1.3× 22 300
G.C. Wishart United Kingdom 11 271 1.3× 190 1.2× 156 1.8× 129 2.2× 40 0.8× 27 427
D Ryan United Kingdom 6 125 0.6× 84 0.5× 160 1.9× 40 0.7× 27 0.5× 13 294
Shirin Muhsen United States 11 294 1.4× 241 1.5× 100 1.2× 166 2.8× 64 1.2× 15 405
L-G Arnesson Sweden 9 248 1.2× 174 1.1× 179 2.1× 60 1.0× 11 0.2× 11 324

Countries citing papers authored by Qixia Han

Since Specialization
Citations

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

Fields of papers citing papers by Qixia Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qixia Han

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

All Works

10 of 10 papers shown
1.
Yang, Xiaochen, Jiong Wu, Guangyu Liu, et al.. (2016). Quality of Life and Psychological State in Chinese Breast Cancer Patients Who Received BRCA1/2 Genetic Testing. PLoS ONE. 11(7). e0158531–e0158531. 10 indexed citations
2.
Liang, Liqun, et al.. (2013). Adaptability of Tribolodon brandti (Dybowski) to NaCl concentration and alkalinity. Journal of Fishery Sciences of China. 18(3). 689–694. 1 indexed citations
3.
Chen, Jiaying, Jiajian Chen, Benlong Yang, et al.. (2012). Predicting sentinel lymph node metastasis in a Chinese breast cancer population: assessment of an existing nomogram and a new predictive nomogram. Breast Cancer Research and Treatment. 135(3). 839–848. 49 indexed citations
4.
Yin, Wenjin, Gen‐Hong Di, Liheng Zhou, et al.. (2008). Time-varying pattern of recurrence risk for Chinese breast cancer patients. Breast Cancer Research and Treatment. 114(3). 527–535. 34 indexed citations
5.
Huang, Ou, Liping Wang, Kunwei Shen, et al.. (2007). Breast cancer subpopulation with high risk of internal mammary lymph nodes metastasis: analysis of 2,269 Chinese breast cancer patients treated with extended radical mastectomy. Breast Cancer Research and Treatment. 107(3). 379–387. 99 indexed citations
6.
Lu, Jingsong, Hecheng Li, Gen‐Hong Di, et al.. (2007). Clinical significance of aromatase protein expression in axillary node negative breast cancer. Journal of Cancer Research and Clinical Oncology. 133(6). 401–409. 5 indexed citations
7.
Shen, Kunwei, Nirmal Lamichhane, Qixia Han, et al.. (2002). [Sentinel lymph node biopsy in breast cancer].. PubMed. 40(5). 347–50. 2 indexed citations
8.
Shen, Kunwei, Jiong Wu, Jingsong Lu, et al.. (2000). Fiberoptic ductoscopy for patients with nipple discharge. Cancer. 89(7). 1512–1519. 77 indexed citations
9.
Wu, Jiong, et al.. (1997). In situ labeling apotosis in breast cancer as related to prognosis. Chinese Journal of Cancer Research. 9(3). 213–216. 1 indexed citations
10.
Han, Qixia, Elizabeth A. Allegretto, Zhi‐Ming Shao, et al.. (1997). Elevated Expression of Retinoic Acid Receptor-α (RARα) in Estrogen-Receptor-Positive Breast Carcinomas as Detected by Immunohistochemistry. Diagnostic Molecular Pathology. 6(1). 42–48. 22 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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