Xiaowen Ge

551 citations
22 papers · 392 · h-index 11

Impact in

    • Complement system in diseases
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Chronic Lymphocytic Leukemia Research
    • Hemoglobinopathies and Related Disorders

Papers in

Xiaowen Ge

21 papers receiving 389 citations

Peers

Xiaowen Ge
Comparison fields: 5 of 71
  • Immunology 154
  • Genetics 64
  • Transplantation 10
  • Hematology 43
  • Oncology 76
Replace Yoshitaka Kinoshita with:
Yoshitaka Kinoshita Japan
Huiying Qiu China
Emily B. Martin United States
Leon Su United States
Luis Gerardo Rodríguez‐Lobato Spain
Xiangcong Zhao China
Jingjing Guo China
Ulrike Steffen Germany
Jingjing Qi China
Meili Ge China
Xiaowen Ge relative to Yoshitaka Kinoshita Japan Yoshitaka Kinoshita's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaowen Ge

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowen Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaowen Ge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaowen Ge Line = papers co-authored together Xiaowen Ge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201175
2 201052
3 201139
4 201136
5 201836
6 201522
7 202222
8 201617
9 201812
10 201211
11
Complement activation in the arteries of patients with severe atherosclerosis.
201811
12 20179
13 20179
14 20238
15 20116
16 20216
17 20156
18 20176
19 20214
20 20194

About Xiaowen Ge

Xiaowen Ge is a scholar working on Pulmonary and Respiratory Medicine, Immunology, Oncology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 392 indexed citations. Recurring topics across this work include Complement system in diseases (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), HER2/EGFR in Cancer Research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Gastric Cancer Management and Outcomes (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Immunology (154 citations), Genetics (64 citations), Transplantation (10 citations), Hematology (43 citations) and Oncology (76 citations). Xiaowen Ge has collaborated with scholars based in China, United States and France. Frequent co-authors include Weiguo Hu, Xuebin Qin, José A. Halperin, Tao You, Jennifer R. Brown, Yingyong Hou, Michael Chorev, Jingnan Shen, Ting Xu and Zhihai Peng. Their work appears in journals such as Human Pathology, Clinical Cancer Research, Medicine, Diagnostic Pathology and Blood.

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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