Sangyeul Han

2.7k citations
17 papers · 1.9k indexed · 1 hit paper · h-index 14

Impact in

Papers in

    • Tuberous Sclerosis Complex Research 9
    • Histiocytic Disorders and Treatments 3
    • Microtubule and mitosis dynamics 2
    • Hippo pathway signaling and YAP/TAZ 2

Sangyeul Han

16 papers receiving 1.8k citations

Hit Papers

Reversal of learning deficits in a Tsc2+/− mouse model of tuberous sclerosis 2008 · 651 citations
6512008202620142020200400600

Peers

Sangyeul Han
Comparison fields: 5 of 90
  • Aging 32
  • Ophthalmology 159
  • Neurology 225
  • Neurology 118
  • Physiology 371
Replace Yaping Joyce Liao with:
Yaping Joyce Liao United States
Justine D. Miller United States
Hans S. Keirstead United States
Neeta S. Roy United States
Asuka Morizane Japan
Stephan Kröger Germany
F. Koerner Switzerland
Zu‐Lin Chen United States
Yonehiro Kanemura Japan
Gist F. Croft United States
Sangyeul Han relative to Yaping Joyce Liao United States Yaping Joyce Liao's profile →
Citations per field
00.5×2.9×
Yaping Joyce Liao · 1×
Citations per year

Countries citing papers authored by Sangyeul Han

Since Specialization
Citations

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

Fields of papers citing papers by Sangyeul Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20250
2 201956
3 2017242
4 201740
5 2016261
6 20165
7 201514
8 201426
9 201281
10 201227
11 2009215
12 200942
13 200863
14
Reversal of learning deficits in a Tsc2+/− mouse model of tuberous sclerosis
Hit paper breakdown →
2008651
15 200511
16 200466
17 200467

About Sangyeul Han

Sangyeul Han is a scholar working on Physiology, Cell Biology, Ophthalmology, Immunology and Allergy and Oncology, having authored 17 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (9 papers), Angiogenesis and VEGF in Cancer (4 papers), Histiocytic Disorders and Treatments (3 papers), Polyomavirus and related diseases (3 papers), Retinal Diseases and Treatments (2 papers), Microtubule and mitosis dynamics (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Genetic and Kidney Cyst Diseases (2 papers). The work is most often cited by research in Aging (32 citations), Ophthalmology (159 citations), Neurology (225 citations), Neurology (118 citations) and Physiology (371 citations). Sangyeul Han has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Vijaya Ramesh, David J. Kwiatkowski, Alcino J. Silva, Weidong Li, Carrie Shilyansky, Yu Zhou, Dan Ehninger, Anat Stemmer‐Rachamimov, Gou Young Koh and Marianne F. James. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Nature Medicine, Cancer Cell and Clinical Cancer Research.

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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