Xiaojin Wu

3.2k citations
124 papers · 2.0k indexed · 1 hit paper · h-index 21

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Hematopoietic Stem Cell Transplantation 32
    • Acute Myeloid Leukemia Research 14
    • Chronic Myeloid Leukemia Treatments 7
    • Renal Transplantation Outcomes and Treatments 7

Xiaojin Wu

112 papers receiving 2.0k citations

Hit Papers

Alanyl-tRNA synthetase, AARS1, is a lactate sensor and lactyltransferase that lactylates p53 and contributes to tumorigenesis 2024 · 259 citations
25920242026202550100150200250

Peers

Xiaojin Wu
Comparison fields: 5 of 127
  • Immunology 687
  • Hematology 345
  • Cancer Research 337
  • Transplantation 53
  • Oncology 480
Replace Yue Han with:
Yue Han China
Wendy B. Bernstein United States
Fei Gao China
Min Xu China
Hiroyuki Yoneyama Japan
Jung‐Shin Lee South Korea
Ragai R. Mitry United Kingdom
Christophe Desterke France
Mingfeng Zhao China
Mirosław J. Szczepański Poland
Xiaojin Wu relative to Yue Han China Yue Han's profile →
Citations per field
00.5×1.5×2.2×
Yue Han · 1×
Citations per year

Countries citing papers authored by Xiaojin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20250
4 20253
5 20241
6 202413
7 20240
8 20243
9 20243
10 20240
11 20244
12 20232
13 20232
14 20236
15 20237
16 202214
17 2019221
18 20193
19 201921
20 200610

About Xiaojin Wu

Xiaojin Wu is a scholar working on Hematology, Transplantation, Immunology, Genetics and Oncology, having authored 124 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (32 papers), Immune Cell Function and Interaction (27 papers), T-cell and B-cell Immunology (16 papers), Acute Myeloid Leukemia Research (14 papers), Cytomegalovirus and herpesvirus research (9 papers), Renal Transplantation Outcomes and Treatments (7 papers), Chronic Myeloid Leukemia Treatments (7 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Immunology (687 citations), Hematology (345 citations), Cancer Research (337 citations), Transplantation (53 citations) and Oncology (480 citations). Xiaojin Wu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Fangfang Zhou, Bing Yang, Depei Wu, Shuai Wang, Zhi Zong, Feng Xie, Zhenyu Zhang, Jianhua Yu, Xiao Ma and Dong‐Sheng Pei. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Frontiers in Immunology, Annals of Hematology, Blood and British Journal of Haematology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026