Hsiao‐Huei Wu

1.9k citations
23 papers · 1.5k indexed · 1 hit paper · h-index 16

Hsiao‐Huei Wu

22 papers receiving 1.5k citations

Hit Papers

MDM2 — master regulator of the p53 tumor suppressor protein5192000202620082017100200300400500

Peers

Hsiao‐Huei Wu
Comparison fields: 5 of 96
  • Developmental Neuroscience 194
  • Sensory Systems 186
  • Oncology 451
  • Molecular Biology 930
  • Cellular and Molecular Neuroscience 245
Replace Nobuhiko Yokoyama with:
Nobuhiko Yokoyama Japan
Thorsten Stühmer Germany
Stacy L. Donovan United States
Sara Ahlgren United States
Christine D. Pozniak United States
Hiroshi Mori Japan
Yiai Tong Canada
Joshua Murtie United States
Judit Herreros Spain
Sayoko Ihara Japan
Hsiao‐Huei Wu relative to Nobuhiko Yokoyama Japan Nobuhiko Yokoyama's profile →
Citations per field
00.5×2.8×
Nobuhiko Yokoyama · 1×
Citations per year

Countries citing papers authored by Hsiao‐Huei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hsiao‐Huei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20211
2 201711
3 201710
4 20170
5 201624
6 201612
7 201620
8 201328
9 2009143
10 200964
11 200631
12 2005186
13 200485
14 2002116
15 200241
16
MDM2 — master regulator of the p53 tumor suppressor proteinbreakdown →
2000519
17 200063
18 200036
19 199866
20 199715

About Hsiao‐Huei Wu

Hsiao‐Huei Wu is a scholar working on Developmental Neuroscience, Sensory Systems and Pharmacy, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (6 papers), Cancer-related Molecular Pathways (5 papers), Developmental Biology and Gene Regulation (5 papers), Olfactory and Sensory Function Studies (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Epigenetics and DNA Methylation (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Infant Health and Development (3 papers). The work is most often cited by research in Developmental Neuroscience (194 citations), Sensory Systems (186 citations) and Oncology (451 citations). Hsiao‐Huei Wu has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Jamil Momand, Gargi Dasgupta, Anne L. Calof, Arthur D. Lander, Pat Levitt, Joon Kim, Shimako Kawauchi, James A. Thomas, Martin M. Matzuk and Karen M. Lyons. Their work appears in journals such as Science, Journal of Biological Chemistry and Nature Neuroscience.

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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