Young‐Ah Suh

5.9k citations
58 papers · 4.7k indexed · 2 hit papers · h-index 29

Impact in

Papers in

Young‐Ah Suh

58 papers receiving 4.6k citations

Hit Papers

Gain of Function of a p53 Hot Spot Mutation in a Mouse Model of Li-Fraumeni Syndrome 2004 · 822 citations
82219992026200820174008001.2k

Peers

Young‐Ah Suh
Comparison fields: 5 of 120
  • Oncology 1.4k
  • Cancer Research 742
  • Molecular Biology 3.1k
  • Immunology 920
  • Biotechnology 291
Replace Jordan S. Fridman with:
Jordan S. Fridman United States
Xiao‐Feng Zhu China
Alexandru Almasan United States
Yongjun Dang China
Pankaj K. Singh United States
Juliane M. Jürgensmeier United States
Vivek M. Rangnekar United States
Mauricio J. Reginato United States
Lindsey D. Mayo United States
Gerardo Ferbeyre Canada
Young‐Ah Suh relative to Jordan S. Fridman United States Jordan S. Fridman's profile →
Citations per field
00.5×1.5×1.8×
Jordan S. Fridman · 1×
Citations per year

Countries citing papers authored by Young‐Ah Suh

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Ah Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Ah Suh. 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 Young‐Ah Suh. The network helps show where Young‐Ah Suh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20224
3 20228
4 202216
5 201740
6 20179
7 201627
8 201522
9 201478
10 201413
11 201330
12 201244
13 201119
14 2011106
15 2011427
16 201059
17 200083
18 199718
19 199438
20 199239

About Young‐Ah Suh

Young‐Ah Suh is a scholar working on Cancer Research, Hepatology, Biotechnology, Molecular Biology and Oncology, having authored 58 papers that have together received 4.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), RNA and protein synthesis mechanisms (9 papers), Cancer, Hypoxia, and Metabolism (9 papers), RNA modifications and cancer (7 papers), Cancer Research and Treatments (6 papers), Epigenetics and DNA Methylation (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Oncology (1.4k citations), Cancer Research (742 citations), Molecular Biology (3.1k citations), Immunology (920 citations) and Biotechnology (291 citations). Young‐Ah Suh has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include J. David Lambeth, Jing Shi, Bernard Lassègue, Rebecca S. Arnold, Xiang‐Xi Xu, Dan C. Sorescu, Kathy K. Griendling, Guillermina Lozano, Adel K. El‐Naggar and Tamara Terzian. Their work appears in journals such as Cancer Research, Oncotarget, Nucleic Acids Research, Clinical Cancer Research and Cancer Letters.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026