Keyong Du

4.0k citations
35 papers · 3.4k indexed · 2 hit papers · h-index 24

Keyong Du

35 papers receiving 3.4k citations

Hit Papers

TRB3: A tribbles Homolog That Inhibits Akt/PKB Activation...7051998202620072016250500750

Peers

Keyong Du
Comparison fields: 5 of 100
  • Cell Biology 646
  • Molecular Biology 2.3k
  • Aging 47
  • Cancer Research 378
  • Immunology 363
Replace Dorothea Rudolph with:
Dorothea Rudolph Austria
Christian C. Dibble United States
Aimee D. Kohn United States
Usha Narayanan United States
Zhongzhou Yang China
Philippe Lenormand France
Sheelagh Frame United Kingdom
Malavika Raman United States
Xiaoju Max United States
Joo‐Ho Shin South Korea
Keyong Du relative to Dorothea Rudolph Austria Dorothea Rudolph's profile →
Citations per field
00.5×1.5×
Dorothea Rudolph · 1×
Citations per year

Countries citing papers authored by Keyong Du

Since Specialization
Citations

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

Fields of papers citing papers by Keyong Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201756
2 20168
3 201635
4 20152
5 20136
6 201277
7 201221
8 201033
9 2007108
10 2007166
11 200726
12 200647
13 2005119
14 2005116
15
TRB3: A tribbles Homolog That Inhibits Akt/PKB Activation by Insulin in Liverbreakdown →
2003705
16 199948
17 199819
18
CREB Is a Regulatory Target for the Protein Kinase Akt/PKBbreakdown →
1998816
19 199763
20 19977

About Keyong Du

Keyong Du is a scholar working on Geriatrics and Gerontology, Cell Biology and Molecular Biology, having authored 35 papers that have together received 3.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Endoplasmic Reticulum Stress and Disease (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Adipose Tissue and Metabolism (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Autophagy in Disease and Therapy (4 papers) and Protein Tyrosine Phosphatases (3 papers). The work is most often cited by research in Cell Biology (646 citations), Molecular Biology (2.3k citations) and Aging (47 citations). Keyong Du has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Marc Montminy, Rohit Kulkarni, Stephan Herzig, Philip N. Tsichlis, Ulupi S. Jhala, Hiroshi Asahara, Wenying Ren, Marc Tini, Beverly M. Emerson and Wei Xu. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Biochemical and Biophysical Research Communications, Molecular Endocrinology and Science.

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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