Kuang‐Hung Cheng

5.2k citations
58 papers · 4.1k indexed · 2 hit papers · h-index 26

Kuang‐Hung Cheng

58 papers receiving 4.0k citations

Hit Papers

Smad4 is dispensable for normal pancreas development yet ...5062003202620102018100200300400500

Peers

Kuang‐Hung Cheng
Comparison fields: 5 of 124
  • Oncology 1.6k
  • Cancer Research 794
  • Biological Psychiatry 99
  • Molecular Biology 2.7k
  • Genetics 526
Replace Colleen Sweeney with:
Colleen Sweeney United States
Haiyan Wu China
Lynne‐Marie Postovit Canada
Aparna A. Kamat United States
Gwen Lomberk United States
Jianmin Wang United States
Emilio Ciusani Italy
Yan Yang China
Carol J. Thiele United States
Torben A. Kruse Denmark
Kuang‐Hung Cheng relative to Colleen Sweeney United States Colleen Sweeney's profile →
Citations per field
00.5×2.8×
Colleen Sweeney · 1×
Citations per year

Countries citing papers authored by Kuang‐Hung Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Kuang‐Hung Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuang‐Hung Cheng. 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 Kuang‐Hung Cheng. The network helps show where Kuang‐Hung Cheng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20232
3 20232
4 202127
5 20202
6 201916
7 201829
8 201523
9 201516
10 201411
11 201417
12 201454
13 201370
14 201356
15 201261
16 2011172
17 201144
18 2006346
19
Smad4 is dispensable for normal pancreas development yet critical in progression and tumor biology of pancreas cancerbreakdown →
2006506
20
Histone Deacetylases: Unique Players in Shaping the Epigenetic Histone Codebreakdown →
2003555

About Kuang‐Hung Cheng

Kuang‐Hung Cheng is a scholar working on Oncology, Cancer Research and Molecular Biology, having authored 58 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (13 papers), Epigenetics and DNA Methylation (10 papers), Cancer Cells and Metastasis (9 papers), Cancer-related gene regulation (7 papers), TGF-β signaling in diseases (7 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (4 papers) and Genetic factors in colorectal cancer (4 papers). The work is most often cited by research in Oncology (1.6k citations), Cancer Research (794 citations) and Biological Psychiatry (99 citations). Kuang‐Hung Cheng has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Sam Thiagalingam, Jose F. Ponte, Arunthathi Thiagalingam, Hyunjoo Jean Lee, Nora D. Mineva, Ronald A. DePinho, Nabeel Bardeesy, Gerald C. Chu, Aram F. Hezel and Douglas Hanahan.

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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