Annan Yang

5.6k total citations · 2 hit papers
20 papers, 2.0k citations indexed

About

Annan Yang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Annan Yang has authored 20 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Annan Yang's work include Pancreatic and Hepatic Oncology Research (6 papers), RNA modifications and cancer (4 papers) and Down syndrome and intellectual disability research (3 papers). Annan Yang is often cited by papers focused on Pancreatic and Hepatic Oncology Research (6 papers), RNA modifications and cancer (4 papers) and Down syndrome and intellectual disability research (3 papers). Annan Yang collaborates with scholars based in United States, China and Taiwan. Annan Yang's co-authors include Alec C. Kimmelman, Xiaoxu Wang, Kwok‐Kin Wong, Nathanael S. Gray, Gerald C. Chu, Shinichi Yabuuchi, N.V. Rajeshkumar, Brian M. Alexander, Daniel D. Von Hoff and Anirban Maitra and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Annan Yang

18 papers receiving 2.0k citations

Hit Papers

The dTAG system for immediate and target-specific protein... 2014 2026 2018 2022 2018 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annan Yang United States 11 1.5k 633 496 364 223 20 2.0k
Dean C. Singleton New Zealand 14 1.0k 0.7× 272 0.4× 243 0.5× 367 1.0× 106 0.5× 24 1.6k
William Senapedis United States 29 1.6k 1.1× 661 1.0× 145 0.3× 202 0.6× 193 0.9× 79 2.1k
Christopher T. Cummings United States 14 662 0.4× 316 0.5× 384 0.8× 161 0.4× 186 0.8× 28 1.4k
Verena Labi Austria 26 1.6k 1.1× 592 0.9× 225 0.5× 387 1.1× 76 0.3× 50 2.3k
Erika von Euw United States 18 893 0.6× 757 1.2× 114 0.2× 209 0.6× 269 1.2× 30 1.6k
Leigh Ellis United States 20 2.0k 1.4× 841 1.3× 144 0.3× 556 1.5× 875 3.9× 55 2.9k
Sonia V. del Rincón Canada 23 1.3k 0.9× 731 1.2× 122 0.2× 309 0.8× 152 0.7× 59 2.1k
Zi-Jie Long China 23 797 0.5× 387 0.6× 180 0.4× 239 0.7× 145 0.7× 29 1.4k
Murugan Kalimutho Australia 23 1.2k 0.8× 727 1.1× 79 0.2× 589 1.6× 237 1.1× 39 2.0k
Elodie Viry Luxembourg 13 534 0.4× 355 0.6× 375 0.8× 370 1.0× 95 0.4× 15 1.3k

Countries citing papers authored by Annan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Annan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Annan Yang. A scholar is included among the top collaborators of Annan Yang 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 Annan Yang. Annan Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chiang, Ying‐Cheng, et al.. (2025). Pembrolizumab combined with chemotherapy for advanced and recurrent endometrial cancer: A single-center retrospective study. Journal of the Formosan Medical Association. 2 indexed citations
2.
Yang, Annan, Honglin Chen, Xinjie Yu, et al.. (2025). Versatile spiky spindle-shaped copper-based nanocomposites: A SERS substrate for discrimination, quantification and inactivation of multiple bacteria. Journal of Colloid and Interface Science. 691. 137448–137448. 2 indexed citations
4.
Doctor, Zainab M., Annan Yang, Mingfeng Hao, et al.. (2023). Development and Characterization of Selective FAK Inhibitors and PROTACs with In Vivo Activity. ChemBioChem. 24(19). e202300141–e202300141. 8 indexed citations
5.
Li, Qiang, Megan T. Hoffman, Lestat R. Ali, et al.. (2023). 798 TGFβ blockade in pancreatic cancer enhances sensitivity to combination chemotherapy. SHILAP Revista de lepidopterología. A896–A896.
6.
Li, Qiang, Megan T. Hoffman, Lestat R. Ali, et al.. (2023). Transforming Growth Factor-β Blockade in Pancreatic Cancer Enhances Sensitivity to Combination Chemotherapy. Gastroenterology. 165(4). 874–890.e10. 43 indexed citations
7.
Santana-Codina, Naiara, Huan Zhang, Maria Quiles del Rey, et al.. (2022). Abstract A075: NCOA4-mediated ferritinophagy is a pancreatic cancer dependency via maintenance of iron bioavailability for iron-sulfur cluster proteins. Cancer Research. 82(22_Supplement). A075–A075. 1 indexed citations
9.
Du, Guangyan, Deepak Gurbani, Nathaniel J. Henning, et al.. (2020). Structure-Based Design of a Potent and Selective Covalent Inhibitor for SRC Kinase That Targets a P-Loop Cysteine. Journal of Medicinal Chemistry. 63(4). 1624–1641. 27 indexed citations
10.
Neggers, Jasper E., Brenton R. Paolella, Michael Rothberg, et al.. (2020). Synthetic lethal interaction between the ESCRT paralog enzymes VPS4A and VPS4B in cancers with chromosome 18q or 16q deletion. European Journal of Cancer. 138. S8–S8. 1 indexed citations
11.
To, Ciric, Jaebong Jang, Ting Chen, et al.. (2019). Single and Dual Targeting of Mutant EGFR with an Allosteric Inhibitor. Cancer Discovery. 9(7). 926–943. 250 indexed citations
12.
Huang, Luyuan, Xingdong Cai, Mason Breitzig, et al.. (2019). PTBP1 enhances exon11a skipping in Mena pre-mRNA to promote migration and invasion in lung carcinoma cells. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1862(8). 858–869. 26 indexed citations
13.
Yang, Annan, Grit S. Herter-Sprie, Haikuo Zhang, et al.. (2018). Autophagy Sustains Pancreatic Cancer Growth through Both Cell-Autonomous and Nonautonomous Mechanisms. Cancer Discovery. 8(3). 276–287. 240 indexed citations
14.
Santana-Codina, Naiara, Anjali A. Roeth, Yi Zhang, et al.. (2018). Oncogenic KRAS supports pancreatic cancer through regulation of nucleotide synthesis. Nature Communications. 9(1). 4945–4945. 172 indexed citations
15.
Nabet, Behnam, Justin M. Roberts, Dennis L. Buckley, et al.. (2018). The dTAG system for immediate and target-specific protein degradation. Nature Chemical Biology. 14(5). 431–441. 652 indexed citations breakdown →
16.
Yang, Annan, et al.. (2016). Increased Skin Tumor Incidence and Keratinocyte Hyper-Proliferation in a Mouse Model of Down Syndrome. PLoS ONE. 11(1). e0146570–e0146570. 6 indexed citations
17.
Yang, Annan, N.V. Rajeshkumar, Xiaoxu Wang, et al.. (2014). Autophagy Is Critical for Pancreatic Tumor Growth and Progression in Tumors with p53 Alterations. Cancer Discovery. 4(8). 905–913. 384 indexed citations breakdown →
18.
Yang, Annan & Alec C. Kimmelman. (2014). Inhibition of autophagy attenuates pancreatic cancer growth independent ofTP53/TRP53status. Autophagy. 10(9). 1683–1684. 81 indexed citations
19.
Yang, Annan & Roger H. Reeves. (2011). Increased Survival following Tumorigenesis in Ts65Dn Mice That Model Down Syndrome. Cancer Research. 71(10). 3573–3581. 29 indexed citations
20.
Sussan, Thomas E., et al.. (2008). Trisomy represses ApcMin -mediated tumours in mouse models of Down’s syndrome. Nature. 451(7174). 73–75. 118 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.

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