Yejun Wu

411 citations
43 papers · 275 · h-index 10

Impact in

    • Platelet Disorders and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Neurological Disorders and Treatments

Papers in

    • Platelet Disorders and Treatments 12
    • Hematopoietic Stem Cell Transplantation 5

Yejun Wu

41 papers receiving 271 citations

Peers

Yejun Wu
Comparison fields: 5 of 54
  • Hematology 60
  • Neurology 27
  • Insect Science 22
  • Health Informatics 4
  • Immunology 27
Replace Stefan R. Havik with:
Stefan R. Havik Netherlands
Silvana Bonilla United States
Youcef Bouazza France
Yini Sun China
Naoki Aikawa Japan
Caihua Xi China
Boram Cha South Korea
E. González González United States
Meghana N. Patel United Kingdom
Yejun Wu relative to Stefan R. Havik Netherlands Stefan R. Havik's profile →
Citations per field
00.5×5×10×15×22×
Stefan R. Havik · 1×
Citations per year

Countries citing papers authored by Yejun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yejun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Neuroprotective effects of LBP on brain ischemic reperfusion neurodegeneration.
201323
2 201320
3 202118
4 202117
5 202316
6 202213
7 201312
8 202112
9 202011
10 202010
11 20138
12 20208
13 20228
14 20228
15 20238
16 20217
17 20206
18 20216
19 20226
20 20205

About Yejun Wu

Yejun Wu is a scholar working on Hematology, Immunology, Neurology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 43 papers that have together received 275 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (12 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Autoimmune Bullous Skin Diseases (2 papers), Sepsis Diagnosis and Treatment (2 papers), Neutropenia and Cancer Infections (2 papers) and Acute Ischemic Stroke Management (2 papers). The work is most often cited by research in Hematology (60 citations), Neurology (27 citations), Insect Science (22 citations), Health Informatics (4 citations) and Immunology (27 citations). Yejun Wu has collaborated with scholars based in China and United States. Frequent co-authors include Fangbing Li, Chunhua Chen, Weiguang Zhang, Hai‐Xia Fu, Yu Shiang Wu, Lan‐Ping Xu, Huiling Wu, Xiao‐Jun Huang, Yan Ru Wu and Yilin Wang. Their work appears in journals such as American Journal of Hematology, Blood Advances, Blood, Annals of Translational Medicine and Transplantation and Cellular Therapy.

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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