Xiaojing An

834 citations
29 papers · 575 · 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 571 citations

Peers

Xiaojing An
Comparison fields: 5 of 75
  • Immunology 137
  • Oncology 116
  • Pathology and Forensic Medicine 68
  • Cancer Research 53
  • Pulmonary and Respiratory Medicine 108
Replace Natascha Roehlen with:
Natascha Roehlen Germany
Shinji Kitajima Japan
Tomasz Ślebioda Poland
Lianwen Yuan China
Christopher J. Parsons United States
Nadia Kourda Tunisia
M J Arthur United Kingdom
Sam Tilborghs Belgium
Wing‐Kin Syn United States
Xiaojing An relative to Natascha Roehlen Germany Natascha Roehlen's profile →
Citations per field
00.5×12×
Natascha Roehlen · 1×
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 2019157
2 201462
3 201946
4 202245
5 201834
6 201129
7 201026
8 202325
9 201921
10 201920
11 202119
12 201916
13 200911
14 20179
15
Response gene to complement 32 (RGC-32) in endothelial cells is induced by glucose and helpful to maintain glucose homeostasis.
20149
16 20236
17 20246
18 20235
19
STUDIES ON THE SEX RATIO OF PTEROMALUS PUPARUM L.
19885
20 20255

About Xiaojing An

Xiaojing An is a scholar working on Plant Science, Molecular Biology, Immunology, Surgery and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 575 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (4 papers), Medicinal Plant Pharmacodynamics Research (3 papers), Plant nutrient uptake and metabolism (2 papers), Diabetes and associated disorders (2 papers), Infant Nutrition and Health (2 papers), Fungal Biology and Applications (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Complement system in diseases (2 papers). The work is most often cited by research in Immunology (137 citations), Oncology (116 citations), Pathology and Forensic Medicine (68 citations), Cancer Research (53 citations) and Pulmonary and Respiratory Medicine (108 citations). Xiaojing An has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Xun Wang, Chunxue Bai, Jie Bai, Weidong Han, Yang Liu, Liang Dong, Jing Nie, Yan Zhang, Jiejie Liu and Lu Shi. Their work appears in journals such as BMC Plant Biology, American Journal of Respiratory Cell and Molecular Biology, Journal of Ethnopharmacology, Frontiers in Plant Science and Acta Pharmacologica Sinica.

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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