Jiajun Yap

703 total citations · 1 hit paper
11 papers, 477 citations indexed

About

Jiajun Yap is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Jiajun Yap has authored 11 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Genetics. Recurrent topics in Jiajun Yap's work include Melanoma and MAPK Pathways (9 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Cancer-related Molecular Pathways (3 papers). Jiajun Yap is often cited by papers focused on Melanoma and MAPK Pathways (9 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Cancer-related Molecular Pathways (3 papers). Jiajun Yap collaborates with scholars based in Singapore, China and Austria. Jiajun Yap's co-authors include Jiancheng Hu, Jimin Yuan, Xiaoduo Dong, Manuela Baccarini, Zhongzhou Chen, Ufuk Degirmenci, Mei Wang, Paula Yeng Po Lam, Shou Ping Guan and Yu Wang and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Oncogene.

In The Last Decade

Jiajun Yap

10 papers receiving 474 citations

Hit Papers

The MAPK and AMPK signalings: interplay and implication i... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jiajun Yap Singapore 7 329 101 96 76 45 11 477
Cory Iverson United States 8 394 1.2× 85 0.8× 97 1.0× 33 0.4× 39 0.9× 15 599
Steve L. Abrams United States 5 444 1.3× 135 1.3× 49 0.5× 82 1.1× 41 0.9× 8 625
Zhongqi Li China 13 222 0.7× 159 1.6× 62 0.6× 89 1.2× 47 1.0× 20 520
Amanda B. Parris United States 15 254 0.8× 126 1.2× 45 0.5× 96 1.3× 51 1.1× 22 409
Chandra R. Tate United States 9 295 0.9× 152 1.5× 46 0.5× 82 1.1× 33 0.7× 9 526
Haoran Tang China 12 382 1.2× 103 1.0× 45 0.5× 169 2.2× 53 1.2× 29 577
Nuria Ajenjo Spain 9 423 1.3× 136 1.3× 81 0.8× 81 1.1× 22 0.5× 12 598
Flavia Fondevila Spain 10 300 0.9× 83 0.8× 72 0.8× 215 2.8× 74 1.6× 10 554
Yanyi Xiao China 14 280 0.9× 121 1.2× 41 0.4× 121 1.6× 50 1.1× 22 457
Ranadip Mandal Germany 9 342 1.0× 120 1.2× 52 0.5× 83 1.1× 91 2.0× 11 516

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-authorship network of co-authors of Jiajun Yap

This figure shows the co-authorship network connecting the top 25 collaborators of Jiajun Yap. A scholar is included among the top collaborators of Jiajun Yap 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 Jiajun Yap. Jiajun Yap 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
1.
Yap, Jiajun, Junjun Chen, Nico Boon, et al.. (2025). Oncogenic non-V600 mutations evade the regulatory machinery of RAF including the Cdc37/Hsp90 chaperone and the 14-3-3 scaffold. Theranostics. 15(5). 2035–2051.
2.
Yap, Jiajun, et al.. (2023). BRAF(V600E) mutation together with loss of Trp53 or pTEN drives the origination of hairy cell leukemia from B-lymphocytes. Molecular Cancer. 22(1). 125–125. 7 indexed citations
3.
Yap, Jiajun, et al.. (2023). Abstract 19: Braf(v600e) mutation together with loss of trp53 or pten drives the origination of hairy cell leukemia from b-lymphocyte. Cancer Research. 83(7_Supplement). 19–19. 2 indexed citations
4.
Degirmenci, Ufuk, et al.. (2021). Drug resistance in targeted cancer therapies with RAF inhibitors. Cancer Drug Resistance. 22 indexed citations
5.
Yap, Jiajun, R. N. V. Krishna Deepak, Ufuk Degirmenci, et al.. (2021). The stability of R-spine defines RAF inhibitor resistance: A comprehensive analysis of oncogenic BRAF mutants with in-frame insertion of αC-β4 loop. Science Advances. 7(24). 8 indexed citations
6.
Yuan, Jimin, Xiaoduo Dong, Jiajun Yap, & Jiancheng Hu. (2020). The MAPK and AMPK signalings: interplay and implication in targeted cancer therapy. Journal of Hematology & Oncology. 13(1). 113–113. 346 indexed citations breakdown →
7.
Yap, Jiajun, et al.. (2019). Characterize Disease-related Mutants of RAF Family Kinases by Using a Set of Practical and Feasible Methods. Journal of Visualized Experiments. 4 indexed citations
8.
Yap, Jiajun, et al.. (2019). Characterize Disease-related Mutants of RAF Family Kinases by Using a Set of Practical and Feasible Methods. Journal of Visualized Experiments. 2 indexed citations
9.
Yuan, Jimin, Paula Yeng Po Lam, Yu Wang, et al.. (2018). The dimer-dependent catalytic activity of RAF family kinases is revealed through characterizing their oncogenic mutants. Oncogene. 37(43). 5719–5734. 33 indexed citations
10.
Yuan, Jimin, et al.. (2018). Activating mutations in MEK1 enhance homodimerization and promote tumorigenesis. Science Signaling. 11(554). 39 indexed citations
11.
Yuan, Jimin, et al.. (2018). The AMPK inhibitor overcomes the paradoxical effect of RAF inhibitors through blocking phospho–Ser-621 in the C terminus of CRAF. Journal of Biological Chemistry. 293(37). 14276–14284. 14 indexed citations

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