Suijing Wu

1.0k citations
27 papers · 661 indexed · h-index 10
Topics
Hematopoietic Stem Cell Transplantation (9 papers)Mesenchymal stem cell research (5 papers)Immune Cell Function and Interaction (4 papers)

In The Last Decade

Suijing Wu

24 papers receiving 655 citations

Peers

Suijing Wu
Comparison fields: 5 of 66
  • Molecular Biology 276
  • Genetics 275
  • Hematology 155
  • Cancer Research 146
  • Immunology 139
Replace Suxia Geng with:
Suxia Geng China
Hui‐Sheng Ai China
Peiyan Kong China
Luciana Vinti Italy
Olga López‐Villar Spain
Shengnan Zhao China
Natalia López-Holgado Spain
Emily Mavin United Kingdom
Kent Holland United States
Feiyan Wang China
Suijing Wu relative to Suxia Geng China Suxia Geng's profile →
Citations per field
00.5×1.5×
Suxia Geng · 1×
Citations per year

Countries citing papers authored by Suijing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Suijing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suijing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Suijing Wu. A scholar is included among the top collaborators of Suijing Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suijing Wu. Suijing Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 4
3 10
4 43
5 44
6 137
7
Emerging role of C5a/C5aR IL-17A axis in cGVHD.
8
8 9
9 5
10 3
11 43
12 8
13 2
14 0
15 67
16 11
17 0
18
[Serum proteomics in patients with RAEB myelodysplastic syndromes].
2
19
Clinicopathologic features and survival of patients with colorectal mucinous, signet-ring cell or non-mucinous adenocarcinoma: experience at an institution in southern China.
64
20
[Relationship between cyclins and prognosis of acute leukemia].
4

About Suijing Wu

Suijing Wu is a scholar working on Hematology, Transplantation and Immunology, having authored 27 papers that have together received 661 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), Mesenchymal stem cell research (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Genetics (275 citations), Hematology (155 citations) and Cancer Research (146 citations). Suijing Wu has collaborated with scholars based in China, Montenegro and United States. Frequent co-authors include Jianyu Weng, Suxia Geng, Peilong Lai, Xin Du, Rong Guo, Xin Huang, Yulian Wang, Ling Wei, Xin Du and Chenwei Luo. Their work appears in journals such as Blood, Scientific Reports and Biochemical and Biophysical Research Communications.

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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