Haiyan Wan

972 citations
17 papers · 754 · h-index 14

Impact in

    • Zebrafish Biomedical Research Applications
  • Genetics top 10%
    • Animal Genetics and Reproduction

Papers in

    • CRISPR and Genetic Engineering 5
    • Congenital heart defects research 3
    • Renal and related cancers 2
    • RNA Interference and Gene Delivery 2
    • Animal Genetics and Reproduction 6
    • Virus-based gene therapy research 3

Haiyan Wan

17 papers receiving 738 citations

Peers

Haiyan Wan
Comparison fields: 5 of 103
  • Cell Biology 218
  • Genetics 276
  • Molecular Biology 528
  • Physiology 28
  • Biophysics 25
Replace Zhiqiang Zeng with:
Zhiqiang Zeng United Kingdom
Ian P. Newton United Kingdom
Anja Füllgrabe United Kingdom
Ian K. Quigley United States
Jochen Gehrig Germany
Christopher Buccitelli Germany
Andrew Simmonds Canada
M.S. Lakshmi United Kingdom
Leyla Ruzicka United States
Anne Eagle United States
Haiyan Wan relative to Zhiqiang Zeng United Kingdom Zhiqiang Zeng's profile →
Citations per field
00.5×2.8×
Zhiqiang Zeng · 1×
Citations per year

Countries citing papers authored by Haiyan Wan

Since Specialization
Citations

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

Fields of papers citing papers by Haiyan Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2001103
2 2003100
3 200677
4 201475
5 200472
6 200369
7 200157
8 200544
9 200242
10 200325
11 200020
12 200020
13 201019
14 200718
15 199010
16 20022
17 20081

About Haiyan Wan

Haiyan Wan is a scholar working on Molecular Biology, Genetics, Cell Biology, Surgery and Genetics, having authored 17 papers that have together received 754 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (6 papers), CRISPR and Genetic Engineering (5 papers), Zebrafish Biomedical Research Applications (4 papers), Virus-based gene therapy research (3 papers), Congenital heart defects research (3 papers), Pancreatic function and diabetes (2 papers), Renal and related cancers (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Cell Biology (218 citations), Genetics (276 citations), Molecular Biology (528 citations), Physiology (28 citations) and Biophysics (25 citations). Haiyan Wan has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Zhiyuan Gong, Tie Yan, Vladimir Korzh, Jiangyan He, Bensheng Ju, Xukun Wang, Sudha Mudumana, Hai Wang, Tuan Leng Tay and Mingru Chen. Their work appears in journals such as Developmental Dynamics, Cell Research, BMC Developmental Biology, Transgenic Research and BioTechniques.

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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