Mickey C.‐T. Hu

5.7k citations
51 papers · 4.4k indexed · 1 hit paper · h-index 33

Impact in

Papers in

Mickey C.‐T. Hu

51 papers receiving 4.3k citations

Hit Papers

IκB Kinase Promotes Tumorigenesis through Inhibition of Forkhead FOXO3a 2004 · 742 citations
7422004202620112018200400600

Peers

Mickey C.‐T. Hu
Comparison fields: 5 of 118
  • Aging 209
  • Cancer Research 923
  • Molecular Biology 3.2k
  • Oncology 1.3k
  • Geriatrics and Gerontology 98
Replace Chrysiis Michaloglou with:
Chrysiis Michaloglou United Kingdom
Thomas Kuilman Netherlands
Jer-Yen Yang United States
Saghi Ghaffari United States
Juan Carlos Acosta United Kingdom
Marzia Fumagalli Italy
Elena A. Komarova United States
Soyoung Lee Germany
Elena Piskounova United States
Yasuo Ishida Japan
Mickey C.‐T. Hu relative to Chrysiis Michaloglou United Kingdom Chrysiis Michaloglou's profile →
Citations per field
00.5×1.5×
Chrysiis Michaloglou · 1×
Citations per year

Countries citing papers authored by Mickey C.‐T. Hu

Since Specialization
Citations

This map shows the geographic impact of Mickey C.‐T. Hu'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 Mickey C.‐T. Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mickey C.‐T. Hu more than expected).

Fields of papers citing papers by Mickey C.‐T. Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mickey C.‐T. Hu. 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 Mickey C.‐T. Hu. The network helps show where Mickey C.‐T. Hu may publish in the future.

Co-authors

The 25 scholars most cited alongside Mickey C.‐T. Hu, 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 Mickey C.‐T. Hu Line = papers co-authored together Mickey C.‐T. Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20237
2 202317
3 201523
4 2015109
5 201028
6 200829
7 20075
8 2006159
9
IκB Kinase Promotes Tumorigenesis through Inhibition of Forkhead FOXO3a
Hit paper breakdown →
2004742
10 200333
11 200260
12 200114
13 2000322
14 2000125
15 199917
16 199984
17 1998125
18 199861
19 199832
20 1997168

About Mickey C.‐T. Hu

Mickey C.‐T. Hu is a scholar working on Aging, Cancer Research, Oncology, Immunology and Molecular Biology, having authored 51 papers that have together received 4.4k indexed citations. Recurring topics across this work include FOXO transcription factor regulation (14 papers), NF-κB Signaling Pathways (8 papers), DNA Repair Mechanisms (7 papers), Immune Cell Function and Interaction (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (4 papers) and PARP inhibition in cancer therapy (4 papers). The work is most often cited by research in Aging (209 citations), Cancer Research (923 citations), Molecular Biology (3.2k citations), Oncology (1.3k citations) and Geriatrics and Gerontology (98 citations). Mickey C.‐T. Hu has collaborated with scholars based in United States, Taiwan and Spain. Frequent co-authors include Mien‐Chie Hung, Weiya Xia, Young‐Min Chung, Tse‐Hua Tan, Jer-Yen Yang, Youping Wang, Wan Rong Qiu, Yiyu Zou, Bill Spohn and Leonard S. Golfman. Their work appears in journals such as Journal of Biological Chemistry, Oncogene, Blood, Cell and International Journal of Oncology.

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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