Xiaojing An

802 citations
29 papers · 536 · h-index 12

Impact in

    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

Xiaojing An

29 papers receiving 533 citations

Peers

Xiaojing An
Comparison fields: 5 of 78
  • Immunology 152
  • Oncology 131
  • Cancer Research 68
  • Pulmonary and Respiratory Medicine 131
  • Pathology and Forensic Medicine 70
Replace Yanan Sun with:
Yanan Sun China
Jiancong Hu China
Florin Burada Romania
Tomohiro Kubo Japan
Ali Adili Iran
Keiko Aota Japan
Sam Tilborghs Belgium
Weijing Liu China
Zhihai Han China
Xiaojing An relative to Yanan Sun China Yanan Sun's profile →
Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by Xiaojing An

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019154
2 201462
3 202239
4 201938
5 201831
6 201128
7 201026
8 202321
9 201920
10 201920
11 201916
12 202116
13 200910
14
Response gene to complement 32 (RGC-32) in endothelial cells is induced by glucose and helpful to maintain glucose homeostasis.
20149
15 20178
16 20235
17
STUDIES ON THE SEX RATIO OF PTEROMALUS PUPARUM L.
19885
18 20245
19
PYRETHROID RESISTANCE IN WHEAT APHIDS OF ZHANGYIE
19904
20 20233

About Xiaojing An

Xiaojing An is a scholar working on Molecular Biology, Immunology, Plant Science, Surgery and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 536 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (4 papers), Medicinal Plant Pharmacodynamics Research (3 papers), Immune Response and Inflammation (3 papers), Redox biology and oxidative stress (3 papers), Plant nutrient uptake and metabolism (2 papers), Infant Nutrition and Health (2 papers), Diabetes and associated disorders (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Immunology (152 citations), Oncology (131 citations), Cancer Research (68 citations), Pulmonary and Respiratory Medicine (131 citations) and Pathology and Forensic Medicine (70 citations). Xiaojing An has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Chunxue Bai, Xun Wang, Lu Shi, Weidong Han, Qingming Yang, Meixia Chen, Malcolm V. Brock, Liang Dong, Qian Mei and Yang Liu. Their work appears in journals such as American Journal of Respiratory Cell and Molecular Biology, Journal of Ethnopharmacology, BMC Plant Biology, The Journal of Cell Biology and Nature Medicine.

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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