Xiaorui Fu

2.1k citations
91 papers · 1.2k indexed · h-index 19
    • Lymphoma Diagnosis and Treatment 49
  • Oncology top 5%
    • Viral-associated cancers and disorders 16
    • CAR-T cell therapy research 8
    • Cancer Immunotherapy and Biomarkers 8
  • Immunology top 10%
    • Immune Cell Function and Interaction 18
    • T-cell and Retrovirus Studies 7
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research 8
    • CNS Lymphoma Diagnosis and Treatment 10

Xiaorui Fu

87 papers receiving 1.2k citations

Peers

Xiaorui Fu
Comparison fields: 5 of 78
  • Pathology and Forensic Medicine 639
  • Oncology 605
  • Immunology 374
  • Cancer Research 224
  • Genetics 125
Replace Hyeon Seok Eom with:
Hyeon Seok Eom South Korea
Paul Drillenburg Netherlands
Zhenchang Sun China
Huiqiang Huang China
Sheng Yang China
Sheeja T. Pullarkat United States
Josef Birkmann Germany
Luca Paoluzzi United States
Louise C. Connell United States
Xiaorui Fu relative to Hyeon Seok Eom South Korea Hyeon Seok Eom's profile →
Citations per field
00.5×2.7×
Hyeon Seok Eom · 1×
Citations per year

Countries citing papers authored by Xiaorui Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaorui Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20252
3 20250
4 20244
5 20240
6 20231
7 20237
8 202110
9 20212
10 20212
11 20213
12 202010
13 202011
14 202023
15 202028
16 201938
17 20197
18 20172
19 201511
20 20140

About Xiaorui Fu

Xiaorui Fu is a scholar working on Pathology and Forensic Medicine, Oncology, Immunology, Genetics and Neurology, having authored 91 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (49 papers), Immune Cell Function and Interaction (18 papers), Viral-associated cancers and disorders (16 papers), CNS Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (8 papers), CAR-T cell therapy research (8 papers), Cancer Immunotherapy and Biomarkers (8 papers) and T-cell and Retrovirus Studies (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (639 citations), Oncology (605 citations), Immunology (374 citations), Cancer Research (224 citations) and Genetics (125 citations). Xiaorui Fu has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Yu Chang, Zhaoming Li, Zhenchang Sun, Jingjing Wu, Lei Zhang, Xinhua Wang, Ling Li, Mingzhi Zhang, Mingzhi Zhang and Feifei Nan. Their work appears in journals such as Journal of Clinical Oncology, Blood, Scientific Reports, Leukemia Research and Cancer 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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