Xiaozhou He

1.2k citations
51 papers · 750 indexed · h-index 16

Impact in

Papers in

Xiaozhou He

48 papers receiving 740 citations

Peers

Xiaozhou He
Comparison fields: 5 of 115
  • Infectious Diseases 166
  • Cancer Research 119
  • Genetics 63
  • Nephrology 35
  • Molecular Biology 320
Replace Darrell L. Dinwiddie with:
Darrell L. Dinwiddie United States
Yuesheng Li United States
Jianming Li China
Anders Schlosser Denmark
Panagiotis G. Adamopoulos Greece
Xiaoyu Guo China
Susan Feeney United Kingdom
Heidi Trusheim Germany
Neil K. Rushmere United Kingdom
Yuchang Li China
Xiaozhou He relative to Darrell L. Dinwiddie United States Darrell L. Dinwiddie's profile →
Citations per field
00.5×2.9×
Darrell L. Dinwiddie · 1×
Citations per year

Countries citing papers authored by Xiaozhou He

Since Specialization
Citations

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

Fields of papers citing papers by Xiaozhou He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Xiaozhou He, 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 Xiaozhou He Line = papers co-authored together Xiaozhou He links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202312
3 20230
4 202212
5 20222
6 20201
7 20209
8 20208
9 202014
10 20181
11 201820
12 20166
13 201643
14 201626
15
[Expression of serum FSTL-1 in bone metastasis of prostate cancer and its clinical implication].
20143
16 201498
17 20147
18 20132
19
CD256 can be found in antibody-mediated renal allograft rejection tissues.
20125
20 200820

About Xiaozhou He

Xiaozhou He is a scholar working on Infectious Diseases, Virology, Animal Science and Zoology, Immunology and Epidemiology, having authored 51 papers that have together received 750 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (7 papers), Immunotherapy and Immune Responses (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Animal Virus Infections Studies (4 papers), Epigenetics and DNA Methylation (4 papers), Virus-based gene therapy research (3 papers), Renal cell carcinoma treatment (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Infectious Diseases (166 citations), Cancer Research (119 citations), Genetics (63 citations), Nephrology (35 citations) and Molecular Biology (320 citations). Xiaozhou He has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xianlin Xu, Xuejun Ma, Dong Xue, Fengbao Luo, Xinxin Shen, Cuixing Zhou, Qianqian Shi, Ruiqing Zhang, Min Jin and Min Fan. Their work appears in journals such as Cellular Physiology and Biochemistry, China CDC Weekly, Frontiers in Bioengineering and Biotechnology, Acta Biochimica et Biophysica Sinica and Autophagy.

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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