Aayoung Hong

2.8k citations
11 papers · 1.8k indexed · 2 hit papers · h-index 9
Topics
Melanoma and MAPK Pathways (9 papers)Cutaneous Melanoma Detection and Management (4 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)

In The Last Decade

Aayoung Hong

10 papers receiving 1.8k citations

Hit Papers

Acquired Resistance and Clonal Evolution in Melanoma duri...201320262017202120132015200400600

Peers

Aayoung Hong
Comparison fields: 5 of 70
  • Molecular Biology 1.5k
  • Oncology 1.0k
  • Immunology 301
  • Computational Theory and Mathematics 273
  • Cancer Research 250
Replace Hooman Sazegar with:
Hooman Sazegar United States
Michal Barzily-Rokni Israel
Sareena Rana United Kingdom
Inna V. Fedorenko United States
Gatien Moriceau United States
Carla Milagre United Kingdom
Chris M. Jones United Kingdom
Alastair J. King United States
Ensar Halilovic United States
Jose Lobo United States
Aayoung Hong relative to Hooman Sazegar United States Hooman Sazegar's profile →
Citations per field
00.5×4.7×
Hooman Sazegar · 1×
Citations per year

Countries citing papers authored by Aayoung Hong

Since Specialization
Citations

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

Fields of papers citing papers by Aayoung Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aayoung Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Aayoung Hong. A scholar is included among the top collaborators of Aayoung Hong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aayoung Hong. Aayoung Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 53
2 31
3 0
4 109
5 72
6 43
7 237
8
Non-genomic and Immune Evolution of Melanoma Acquiring MAPKi Resistancebreakdown →
412
9
Acquired Resistance and Clonal Evolution in Melanoma during BRAF Inhibitor Therapybreakdown →
715
10 133
11
Adjuvant Radiotherapy Improves Regional (Lymph Node Field) Control in Melanoma Patients after Lymphadenectomy
1

About Aayoung Hong

Aayoung Hong is a scholar working on Oncology, Cancer Research and Molecular Biology, having authored 11 papers that have together received 1.8k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (9 papers), Cutaneous Melanoma Detection and Management (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Oncology (1.0k citations), Molecular Biology (1.5k citations) and Computational Theory and Mathematics (273 citations). Aayoung Hong has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include Roger S. Lo, Gatien Moriceau, Willy Hugo, Antoni Ribas, Xiangju Kong, Hubing Shi, Douglas B. Johnson, Jeffrey A. Sosman, Kimberly B. Dahlman and Richard C. Koya. Their work appears in journals such as Cell, Cancer Cell and International Journal of Radiation Oncology*Biology*Physics.

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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