Huaping Wei

446 citations
24 papers · 297 · h-index 8

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
  • Hematology top 10%
    • Platelet Disorders and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Blood groups and transfusion

Papers in

Huaping Wei

22 papers receiving 294 citations

Peers

Huaping Wei
Comparison fields: 5 of 64
  • Genetics 104
  • Hematology 94
  • Otorhinolaryngology 25
  • Critical Care and Intensive Care Medicine 20
  • Cancer Research 47
Replace Ken Furudate with:
Ken Furudate Japan
Sabrina Aliberti Italy
Lutz Löning Germany
Todd Barnett United States
Claudio Graiff Italy
Malvi Savani United States
Chandrika N. Nair India
Giovanni Frezza Italy
Melissa Tracy United States
Jelena Roganović Croatia
Huaping Wei relative to Ken Furudate Japan Ken Furudate's profile →
Citations per field
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Ken Furudate · 1×
Citations per year

Countries citing papers authored by Huaping Wei

Since Specialization
Citations

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

Fields of papers citing papers by Huaping Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016122
2 201548
3 201647
4 201511
5 201611
6 20219
7 20197
8 20217
9 20216
10 20186
11 20184
12 20184
13 20153
14 20223
15 20172
16 20221
17 20231
18 20151
19 20161
20 20221

About Huaping Wei

Huaping Wei is a scholar working on Pulmonary and Respiratory Medicine, Hematology, Genetics, Critical Care and Intensive Care Medicine and Surgery, having authored 24 papers that have together received 297 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Mesenchymal stem cell research (6 papers), Acute Myeloid Leukemia Research (4 papers), Respiratory Support and Mechanisms (4 papers), Intensive Care Unit Cognitive Disorders (3 papers), Immune Cell Function and Interaction (3 papers), Hematological disorders and diagnostics (2 papers) and Oral health in cancer treatment (2 papers). The work is most often cited by research in Genetics (104 citations), Hematology (94 citations), Otorhinolaryngology (25 citations), Critical Care and Intensive Care Medicine (20 citations) and Cancer Research (47 citations). Huaping Wei has collaborated with scholars based in China and Philippines. Frequent co-authors include Shasha Zhao, Zhenyang Gu, Li Wang, Feiyan Wang, Lixun Guan, Lan Luo, Dai‐Hong Liu, Xiaoli Zhao, Chunji Gao and Nan Yang. Their work appears in journals such as BMJ Open, Scientific Reports, Medicine, Transfusion and Stem Cells and Development.

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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