Han Cho

7.1k citations
22 papers · 5.8k · 3 hit papers · h-index 17

Impact in

Papers in

Han Cho

22 papers receiving 5.7k citations

Han Cho's Hit Papers

Regulation of circadian behaviour and metabolism by REV-ERB-α and REV-ERB-β 2012 · 885 citations
8850+8+16Years since publication50010001.5k

Peers

Han Cho
Comparison fields: 5 of 126
  • Endocrine and Autonomic Systems 1.0k
  • Aging 243
  • Molecular Biology 3.6k
  • Physiology 1.1k
  • Cancer Research 457
Replace Grant D. Barish with:
Grant D. Barish United States
Debbie S. Vasquez United States
Mitsuhide Noshiro Japan
Laura A. Solt United States
Cuiying Xiao United States
Hiroshi Takemori Japan
Henry Juguilon United States
Linsey Stiles United States
Ueli Schibler Switzerland
Weimin He China
Han Cho relative to Grant D. Barish United States Grant D. Barish's profile →
Citations per field
00.5×1.5×
Grant D. Barish · 1×
Citations per year

Countries citing papers authored by Han Cho

Since Specialization
Citations

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

Fields of papers citing papers by Han Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Insulin Resistance and a Diabetes Mellitus-Like Syndrome in Mice Lacking the Protein Kinase Akt2 (PKBβ)
Hit paper breakdown →
20011561
2
Regulation of circadian behaviour and metabolism by REV-ERB-α and REV-ERB-β
Hit paper breakdown →
2012885
3
Akt1/PKBα Is Required for Normal Growth but Dispensable for Maintenance of Glucose Homeostasis in Mice
Hit paper breakdown →
2001824
4 2002570
5 2005491
6 2013447
7 2003266
8 2002181
9 2016133
10 199984
11 200680
12 201478
13 201972
14 201658
15 199956
16 199630
17 202017
18 20193
19 20072
20 20132

About Han Cho

Han Cho is a scholar working on Endocrine and Autonomic Systems, Molecular Biology, Immunology, Cancer Research and Architecture, having authored 22 papers that have together received 5.8k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (9 papers), Metabolism, Diabetes, and Cancer (7 papers), Circadian rhythm and melatonin (4 papers), Light effects on plants (2 papers), Kruppel-like factors research (2 papers), FOXO transcription factor regulation (2 papers), Computer Graphics and Visualization Techniques (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (1.0k citations), Aging (243 citations), Molecular Biology (3.6k citations), Physiology (1.1k citations) and Cancer Research (457 citations). Han Cho has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Morris J. Birnbaum, Joanne L. Thorvaldsen, Qingwei Chu, James Mu, Eileen L. Whiteman, Fei Feng, Jason K. Kim, Marisa S. Bartolomei, Gerald I. Shulman and E. Bryan Crenshaw. Their work appears in journals such as Journal of Biological Chemistry, Nature, Cell, Trends in Endocrinology and Metabolism and eLife.

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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