Xiaorui Wang

1.5k citations
79 papers · 766 · h-index 17

Impact in

  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

Xiaorui Wang

70 papers receiving 755 citations

Peers

Xiaorui Wang
Comparison fields: 5 of 134
  • Biochemistry 45
  • Hematology 68
  • Physiology 23
  • Biological Psychiatry 11
  • Infectious Diseases 69
Replace Chunlan Zhang with:
Chunlan Zhang China
Tao Han United States
Naeun Lee South Korea
Yu Zhong China
Hongxing Liu China
Dong Tian China
Yanfeng Wang China
Li Zhao China
Yi Zeng China
Masaaki Kurata Japan
Xiaorui Wang relative to Chunlan Zhang China Chunlan Zhang's profile →
Citations per field
00.5×1.5×1.8×
Chunlan Zhang · 1×
Citations per year

Countries citing papers authored by Xiaorui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaorui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202062
2 201562
3 201844
4 201534
5 201933
6 202231
7 201029
8 202328
9 202225
10 201923
11 201522
12 202118
13 201317
14 201017
15 201416
16 202016
17 202416
18 201916
19 202015
20 201514

About Xiaorui Wang

Xiaorui Wang is a scholar working on Molecular Biology, Oncology, Hematology, Epidemiology and Infectious Diseases, having authored 79 papers that have together received 766 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Acute Myeloid Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Statistical Methods and Inference (4 papers), Pancreatic function and diabetes (4 papers), T-cell and B-cell Immunology (4 papers), Advanced Statistical Methods and Models (3 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Biochemistry (45 citations), Hematology (68 citations), Physiology (23 citations), Biological Psychiatry (11 citations) and Infectious Diseases (69 citations). Xiaorui Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Weiping Han, Elena Kostromina, Youwen Qin, Hongkun Xue, Liuyang Shen, Xianzhe Zheng, Chai Liu, Yu-Yu Wu, Thomas C. Südhof and Bingbing Wu. Their work appears in journals such as International Journal of Hematology, PLoS ONE, Optics Express, Annals of Hematology and Heliyon.

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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