Wei Han

2.3k citations
121 papers · 1.2k · h-index 19

Impact in

Papers in

    • Epigenetics and DNA Methylation 5
    • Genomics and Phylogenetic Studies 5
    • CRISPR and Genetic Engineering 5
    • Genetic and phenotypic traits in livestock 4
    • Genetic diversity and population structure 4
    • Animal Genetics and Reproduction 4

Wei Han

106 papers receiving 1.2k citations

Peers

Wei Han
Comparison fields: 5 of 141
  • Animal Science and Zoology 107
  • Cancer Research 125
  • Hematology 75
  • Genetics 184
  • Physiology 129
Replace Annelii Ny with:
Annelii Ny Belgium
Per Fogelstrand Sweden
Hao Bai China
Jan van der Valk Netherlands
Young‐Jo Kim South Korea
G. Todd Milne United States
Zhe Yu China
Lenan Zhuang China
Yufei Zhu China
Stefan Hübner Germany
Wei Han relative to Annelii Ny Belgium Annelii Ny's profile →
Citations per field
00.5×7.8×
Annelii Ny · 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 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Telomerase activity is repressed during differentiation of maturation-sensitive but not resistant human tumor cell lines.
199695
2 201789
3 202253
4 201652
5
Evaluation of the telomeric repeat amplification protocol (TRAP) assay for telomerase as a diagnostic modality in recurrent bladder cancer.
199747
6 201845
7 201343
8 201042
9 201835
10 201430
11 201930
12 201930
13 201825
14 201923
15 202320
16 201520
17 202220
18 202019
19 202019
20 202418

About Wei Han

Wei Han is a scholar working on Molecular Biology, Genetics, Plant Science, Cancer Research and Animal Science and Zoology, having authored 121 papers that have together received 1.2k indexed citations. Recurring topics across this work include Livestock and Poultry Management (7 papers), Epigenetics and DNA Methylation (5 papers), Genomics and Phylogenetic Studies (5 papers), MicroRNA in disease regulation (5 papers), CRISPR and Genetic Engineering (5 papers), Genetic and phenotypic traits in livestock (4 papers), Genetic diversity and population structure (4 papers) and Animal Genetics and Reproduction (4 papers). The work is most often cited by research in Animal Science and Zoology (107 citations), Cancer Research (125 citations), Hematology (75 citations), Genetics (184 citations) and Physiology (129 citations). Wei Han has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Tao Lu, Matthew Martin, Malcolm A.S. Moore, Fanglin Guan, Teng Chen, Ethan Dmitrovsky, Howard I. Scher, Begoña Mellado, Juan Albanell and Jingting Shu. Their work appears in journals such as Neuropharmacology, Poultry Science, Genes, Bone Marrow Transplantation and Neuroreport.

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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