Wei Han

3.0k citations
140 papers · 2.1k · h-index 23

Impact in

  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Hematopoietic Stem Cell Transplantation 52
    • Acute Myeloid Leukemia Research 31
    • Platelet Disorders and Treatments 9

Wei Han

134 papers receiving 2.1k citations

Peers

Wei Han
Comparison fields: 5 of 117
  • Hematology 1.1k
  • Immunology 496
  • Genetics 183
  • Transplantation 41
  • Oncology 348
Replace Arnaud Petit with:
Arnaud Petit France
Zafer Gülbaş Türkiye
Anne Sîrvent France
Inho Kim South Korea
Bernard S. Goffe United States
Yeh Ching Linn Singapore
Fumihiko Nakamura Japan
Heiko Rühl Germany
Dao‐Pei Lu China
Miriam Keltz Pomeranz United States
Wei Han relative to Arnaud Petit France Arnaud Petit's profile →
Citations per field
00.5×6.8×
Arnaud Petit · 1×
Citations per year

Countries citing papers authored by Wei Han

Since Specialization
Citations

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

Fields of papers citing papers by Wei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012201
2 2010127
3 2015114
4 201685
5 201771
6 200861
7 200961
8 201056
9 202155
10 200851
11 202146
12 202238
13 201536
14
[Pathologic change of elastic fibers with difference of microvessel density and expression of angiogenesis-related proteins in internal hemorrhoid tissues].
200534
15 201132
16 201230
17 202028
18 201327
19 201826
20 201524

About Wei Han

Wei Han is a scholar working on Hematology, Oncology, Immunology, Epidemiology and Surgery, having authored 140 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (52 papers), Acute Myeloid Leukemia Research (31 papers), Immune Cell Function and Interaction (14 papers), Acute Lymphoblastic Leukemia research (12 papers), T-cell and B-cell Immunology (12 papers), Platelet Disorders and Treatments (9 papers), Fluorine in Organic Chemistry (7 papers) and Cytomegalovirus and herpesvirus research (6 papers). The work is most often cited by research in Hematology (1.1k citations), Immunology (496 citations), Genetics (183 citations), Transplantation (41 citations) and Oncology (348 citations). Wei Han has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lan‐Ping Xu, Xiao‐Jun Huang, Yu‐Hong Chen, Kai‐Yan Liu, Yu Wang, Huan Chen, Dai‐Hong Liu, Xiaohui Zhang, Jingzhi Wang and Chen‐Hua Yan. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Blood, Annals of Hematology, Clinical Transplantation and International Journal of Molecular Sciences.

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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