Qi-Xia Han

482 total citations
9 papers, 411 citations indexed

About

Qi-Xia Han is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Qi-Xia Han has authored 9 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Qi-Xia Han's work include Breast Cancer Treatment Studies (5 papers), Cancer-related Molecular Pathways (3 papers) and Breast Implant and Reconstruction (2 papers). Qi-Xia Han is often cited by papers focused on Breast Cancer Treatment Studies (5 papers), Cancer-related Molecular Pathways (3 papers) and Breast Implant and Reconstruction (2 papers). Qi-Xia Han collaborates with scholars based in China, United States and United Kingdom. Qi-Xia Han's co-authors include Zhi‐Ming Shao, Zhen‐Zhou Shen, Joseph A. Fontana, Jiong Wu, Jun Wu, Ming Jiang, Guang‐Yu Liu, Barbara A. Conley, Marcia I. Dawson and José V. Ordóñez and has published in prestigious journals such as International Journal of Cancer, Carcinogenesis and Breast Cancer Research and Treatment.

In The Last Decade

Qi-Xia Han

9 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qi-Xia Han China	8	263	212	141	93	66	9	411
Shannon L. Gibson United States	7	426 1.6×	238 1.1×	194 1.4×	51 0.5×	39 0.6×	8	548
Bernd B. Zeisig United Kingdom	18	1.3k 4.8×	156 0.7×	222 1.6×	93 1.0×	20 0.3×	25	1.4k
Zhefu Ma United States	12	551 2.1×	251 1.2×	145 1.0×	53 0.6×	22 0.3×	12	634
R. Sibson United Kingdom	3	234 0.9×	105 0.5×	150 1.1×	122 1.3×	34 0.5×	3	427
Leighton C. Stein United States	10	207 0.8×	132 0.6×	111 0.8×	45 0.5×	27 0.4×	18	397
Sofya Rodov United States	11	253 1.0×	214 1.0×	74 0.5×	89 1.0×	30 0.5×	12	463
A Ashfield United Kingdom	6	144 0.5×	229 1.1×	186 1.3×	71 0.8×	40 0.6×	10	351
Yabing Zheng China	11	233 0.9×	143 0.7×	207 1.5×	32 0.3×	35 0.5×	40	425
L Isnardi Italy	6	216 0.8×	52 0.2×	33 0.2×	99 1.1×	81 1.2×	8	370
S. Oriana Italy	9	138 0.5×	276 1.3×	138 1.0×	92 1.0×	83 1.3×	18	422

Countries citing papers authored by Qi-Xia Han

Since Specialization

Citations

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

Fields of papers citing papers by Qi-Xia Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi-Xia Han

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

All Works

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9 of 9 papers shown

1.

Chen, Jiaying, J Chen, Ying Chen, et al.. (2015). Predicting Non‐sentinel Lymph Node Metastasis in a Chinese Breast Cancer Population with 1–2 Positive Sentinel Nodes: Development and Assessment of a New Predictive Nomogram. World Journal of Surgery. 39(12). 2919–2927. 20 indexed citations

2.

Li, Jun-Jie, Gen‐Hong Di, Ke‐Da Yu, et al.. (2011). Adjuvant Therapy of Breast Cancer with Pirarubicin Versus Epirubicin in Combination with Cyclophosphamide and 5-fluorouracil. The Breast Journal. 17(6). 657–660. 7 indexed citations

3.

Yin, Wenjin, Jin-Song Lu, Gen‐Hong Di, et al.. (2008). Clinicopathological features of the triple-negative tumors in Chinese breast cancer patients. Breast Cancer Research and Treatment. 115(2). 325–333. 87 indexed citations

4.

Jiang, Fan, Lei Wang, Jiong Wu, et al.. (2006). Breast conservative therapy in east part of China: a retrospective cohort study. Journal of Cancer Research and Clinical Oncology. 132(9). 573–578. 10 indexed citations

5.

Hu, Zhen, et al.. (2003). The analysis ofBRCA1 mutations in eastern Chinese patients with early onset breast cancer and affected relatives. Human Mutation. 22(1). 104–104. 22 indexed citations

6.

Wu, Jiong, Zhi‐Ming Shao, Zhen‐Zhou Shen, et al.. (2000). Significance of Apoptosis and Apoptotic-Related Proteins, Bcl-2, and Bax in Primary Breast Cancer. The Breast Journal. 6(1). 44–52. 19 indexed citations

7.

Shao, Zhi‐Ming, et al.. (1999). Neo-adjuvant chemotherapy for operable breast cancer induces apoptosis. Breast Cancer Research and Treatment. 53(3). 263–269. 20 indexed citations

8.

Jiang, Ming, Zhi‐Ming Shao, Jun Wu, et al.. (1997). p21/waf1/cip1 and mdm-2 expression in breast carcinoma patients as related to prognosis. International Journal of Cancer. 74(5). 529–534. 111 indexed citations

9.

Sheikh, Md Sayed Ali, Zhi‐Ming Shao, José V. Ordóñez, et al.. (1995). N-(4-hydroxyphenyl)retinamide (4-HPR)-mediated biological actions involve retinoid receptor-independent pathways in human breast carcinoma. Carcinogenesis. 16(10). 2477–2486. 115 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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