Jiajun Yap

703 citations
11 papers · 477 · 1 hit paper · h-index 7

Impact in

Papers in

    • Melanoma and MAPK Pathways 9
    • Protein Kinase Regulation and GTPase Signaling 3
    • Protein Degradation and Inhibitors 2
    • 14-3-3 protein interactions 2
    • Cancer-related Molecular Pathways 3

Jiajun Yap

10 papers receiving 474 citations

Jiajun Yap's Hit Papers

The MAPK and AMPK signalings: interplay and implication in targeted cancer therapy 2020 · 346 citations
3460+2+4Years since publication100200300

Peers

Jiajun Yap
Comparison fields: 5 of 78
  • Pathology and Forensic Medicine 96
  • Cancer Research 76
  • Molecular Biology 329
  • Oncology 101
  • Computational Theory and Mathematics 36
Replace Ranadip Mandal with:
Ranadip Mandal Germany
Nuria Ajenjo Spain
Aneta Swat Spain
Steve L. Abrams United States
Zhongqi Li China
Flavia Fondevila Spain
Maria Grazia Atzori Italy
Yanyi Xiao China
Cory Iverson United States
Boris Shorning United Kingdom
Jiajun Yap relative to Ranadip Mandal Germany Ranadip Mandal's profile →
Citations per field
00.5×
Ranadip Mandal · 1×
Citations per year

Countries citing papers authored by Jiajun Yap

Since Specialization
Citations

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

Fields of papers citing papers by Jiajun Yap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Jiajun Yap, 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 Jiajun Yap Line = papers co-authored together Jiajun Yap links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
The MAPK and AMPK signalings: interplay and implication in targeted cancer therapy
Hit paper breakdown →
2020346
2 201839
3 201833
4 202122
5 201814
6 20218
7 20237
8 20194
9 20232
10 20192
11 20250

About Jiajun Yap

Jiajun Yap is a scholar working on Molecular Biology, Oncology, Genetics, Pathology and Forensic Medicine and Computational Theory and Mathematics, having authored 11 papers that have together received 477 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (9 papers), Cancer-related Molecular Pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Protein Degradation and Inhibitors (2 papers), Computational Drug Discovery Methods (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cancer Mechanisms and Therapy (2 papers) and 14-3-3 protein interactions (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (96 citations), Cancer Research (76 citations), Molecular Biology (329 citations), Oncology (101 citations) and Computational Theory and Mathematics (36 citations). Jiajun Yap has collaborated with scholars based in Singapore, China and Austria. Frequent co-authors include Jiancheng Hu, Jimin Yuan, Xiaoduo Dong, Manuela Baccarini, Zhongzhou Chen, Mei Wang, Ufuk Degirmenci, Paula Yeng Po Lam, Ann S. G. Lee and Yu Wang. Their work appears in journals such as Journal of Visualized Experiments, Journal of Biological Chemistry, Theranostics, Journal of Hematology & Oncology and Science Advances.

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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