Ai-Min Hui

3.7k citations
16 papers · 2.2k indexed · 1 hit paper · h-index 15
  • Hematology top 2%
    • Multiple Myeloma Research and Treatments 5
  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis 1
  • Genetics top 5%
    • Ubiquitin and proteasome pathways 6
    • Epigenetics and DNA Methylation 4
    • Protein Degradation and Inhibitors 4
    • Cancer-related gene regulation 3
    • Cholangiocarcinoma and Gallbladder Cancer Studies 2
    • Peptidase Inhibition and Analysis 2

Ai-Min Hui

16 papers receiving 2.1k citations

Hit Papers

Neuronal and glioma-derived stem cell factor induces angi...6922006202620122019200400600

Peers

Ai-Min Hui
Comparison fields: 5 of 94
  • Hematology 532
  • Hepatology 311
  • Genetics 315
  • Cancer Research 324
  • Molecular Biology 1.4k
Replace Jeffrey Lin with:
Jeffrey Lin United States
Dorina Gui United States
Iacopo Petrini Italy
Francesco Galimi Italy
Yuichi Shiraishi Japan
Michael Lahn United States
Yijiang Shi United States
Markus Thomas Germany
Victoria Tovar Spain
Vassiliki Kotoula Greece
Ai-Min Hui relative to Jeffrey Lin United States Jeffrey Lin's profile →
Citations per field
00.5×4.3×
Jeffrey Lin · 1×
Citations per year

Countries citing papers authored by Ai-Min Hui

Since Specialization
Citations

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

Fields of papers citing papers by Ai-Min Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ai-Min Hui. 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 Ai-Min Hui. The network helps show where Ai-Min Hui may publish in the future.

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 2017101
2 201535
3 201522
4 2014205
5 2014166
6 2014157
7
Neuronal and glioma-derived stem cell factor induces angiogenesis within the brainbreakdown →
2006692
8 200548
9 200460
10 200220
11 20015
12 1999241
13 199828
14 199854
15 1997225
16 199493

About Ai-Min Hui

Ai-Min Hui is a scholar working on Hematology, Hepatology and Developmental Neuroscience, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Multiple Myeloma Research and Treatments (5 papers), Epigenetics and DNA Methylation (4 papers), Protein Degradation and Inhibitors (4 papers), Cancer-related gene regulation (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Peptidase Inhibition and Analysis (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Hematology (532 citations), Hepatology (311 citations) and Genetics (315 citations). Ai-Min Hui has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Howard A. Fine, Lixin Sun, Alexander O. Vortmeyer, Antonino Passaniti, Yuri Kotliarov, Qin Su, Marc K. Rosenblum, Sandra Pastorino, Jennifer Walling and Tom Mikkelsen.

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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