Eva Lin

5.2k total citations · 3 hit papers
29 papers, 3.4k citations indexed

About

Eva Lin is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Eva Lin has authored 29 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Eva Lin's work include Melanoma and MAPK Pathways (7 papers), Cancer Genomics and Diagnostics (5 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Eva Lin is often cited by papers focused on Melanoma and MAPK Pathways (7 papers), Cancer Genomics and Diagnostics (5 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Eva Lin collaborates with scholars based in United States, France and Canada. Eva Lin's co-authors include Michael J. Zigmond, Ruth G. Perez, Fengli Guo, Jack C. Waymire, Jeff Settleman, Richard M. Neve, Hartmut Koeppen, John G. Moffat, Mark Merchant and Yibing Yan and has published in prestigious journals such as Nature, Science and Journal of the American Chemical Society.

In The Last Decade

Eva Lin

27 papers receiving 3.3k citations

Hit Papers

Widespread potential for growth-factor-driven resi... 2002 2026 2010 2018 2012 2002 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Lin United States 20 1.5k 975 932 671 433 29 3.4k
Hwan Geun Choi South Korea 32 2.8k 1.9× 1.1k 1.1× 498 0.5× 289 0.4× 750 1.7× 77 4.2k
Zhou Zhu China 32 1.8k 1.2× 885 0.9× 222 0.2× 226 0.3× 455 1.1× 93 3.6k
Marc Vigny France 38 2.0k 1.4× 578 0.6× 481 0.5× 755 1.1× 185 0.4× 76 4.1k
Federica Barbieri Italy 40 1.8k 1.2× 1.7k 1.7× 368 0.4× 200 0.3× 359 0.8× 111 4.3k
A Canta Italy 27 1.0k 0.7× 1.4k 1.4× 300 0.3× 377 0.6× 245 0.6× 69 2.9k
Xuefen Le Bourhis France 39 2.9k 1.9× 743 0.8× 191 0.2× 628 0.9× 243 0.6× 88 4.2k
Tyzoon Nomanbhoy United States 25 2.3k 1.6× 582 0.6× 273 0.3× 271 0.4× 119 0.3× 47 3.3k
Dara Ditsworth United States 19 2.0k 1.3× 484 0.5× 748 0.8× 245 0.4× 127 0.3× 21 3.2k
Jonathan R. Whitfield United Kingdom 19 3.0k 2.0× 897 0.9× 214 0.2× 936 1.4× 108 0.2× 34 4.0k
Markus Bredel United States 30 1.8k 1.2× 749 0.8× 316 0.3× 251 0.4× 611 1.4× 73 3.6k

Countries citing papers authored by Eva Lin

Since Specialization
Citations

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

Fields of papers citing papers by Eva Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Lin. A scholar is included among the top collaborators of Eva Lin 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 Eva Lin. Eva Lin 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.
Lin, Eva, Johnny Wang, Edna Mao, et al.. (2025). Aryl Acid-Alcohol Cross-Coupling: C(sp3)–C(sp2) Bond Formation from Nontraditional Precursors. Journal of the American Chemical Society. 147(18). 14905–14914. 4 indexed citations
2.
Shanahan, Fergus, Logan Brooks, Eva Lin, et al.. (2024). Computational Modeling of Drug Response Identifies Mutant-Specific Constraints for Dosing panRAF and MEK Inhibitors in Melanoma. Cancers. 16(16). 2914–2914.
3.
Delaney, Connor P., Eva Lin, Qin-An Huang, et al.. (2023). Cross-coupling by a noncanonical mechanism involving the addition of aryl halide to Cu(II). Science. 381(6662). 1079–1085. 38 indexed citations
4.
Smirnov, Petr, Ian C. P. Smith, Zhaleh Safikhani, et al.. (2022). Evaluation of statistical approaches for association testing in noisy drug screening data. BMC Bioinformatics. 23(1). 188–188. 7 indexed citations
5.
Smirnov, Petr, Minoru Nakano, Arvind Singh Mer, et al.. (2021). PharmacoDB 2.0: improving scalability and transparency of in vitro pharmacogenomics analysis. Nucleic Acids Research. 50(D1). D1348–D1357. 20 indexed citations
6.
Daemen, Anneleen, Matthew Wongchenko, Eva Lin, et al.. (2020). Transcriptional Subtypes Resolve Tumor Heterogeneity and Identify Vulnerabilities to MEK Inhibition in Lung Adenocarcinoma. Clinical Cancer Research. 27(4). 1162–1173. 11 indexed citations
7.
Hagenbeek, Thijs J., Ho-June Lee, Jason Li, et al.. (2020). Machine-Learning and Chemicogenomics Approach Defines and Predicts Cross-Talk of Hippo and MAPK Pathways. Cancer Discovery. 11(3). 778–793. 37 indexed citations
8.
Lin, Eva, Claus Larsen, Henrik Jensen, et al.. (2020). Towards in vitro in vivo correlation for modified release subcutaneously administered insulins. European Journal of Pharmaceutical Sciences. 145. 105239–105239. 17 indexed citations
9.
Wang, Victoria E., Jenny Y. Xue, Dennie T. Frederick, et al.. (2019). Adaptive Resistance to Dual BRAF/MEK Inhibition in BRAF-Driven Tumors through Autocrine FGFR Pathway Activation. Clinical Cancer Research. 25(23). 7202–7217. 37 indexed citations
10.
Jaiswal, Bijay S., Steffen Durinck, Eric Stawiski, et al.. (2018). ERK Mutations and Amplification Confer Resistance to ERK-Inhibitor Therapy. Clinical Cancer Research. 24(16). 4044–4055. 47 indexed citations
11.
Yen, Ivana, Fergus Shanahan, Mark Merchant, et al.. (2018). Pharmacological Induction of RAS-GTP Confers RAF Inhibitor Sensitivity in KRAS Mutant Tumors. Cancer Cell. 34(4). 611–625.e7. 47 indexed citations
12.
Haverty, Peter M., Eva Lin, Jenille Tan, et al.. (2016). Reproducible pharmacogenomic profiling of cancer cell line panels. Nature. 533(7603). 333–337. 185 indexed citations
13.
Wilson, Catherine, Xiaofen Ye, Eva Lin, et al.. (2014). AXL Inhibition Sensitizes Mesenchymal Cancer Cells to Antimitotic Drugs. Cancer Research. 74(20). 5878–5890. 116 indexed citations
14.
Wilson, Timothy R., Jane Fridlyand, Yibing Yan, et al.. (2012). Widespread potential for growth-factor-driven resistance to anticancer kinase inhibitors. Nature. 487(7408). 505–509. 884 indexed citations breakdown →
15.
Lin, Eva, Li Li, Yinghui Guan, et al.. (2009). Exon Array Profiling Detects EML4-ALK Fusion in Breast, Colorectal, and Non–Small Cell Lung Cancers. Molecular Cancer Research. 7(9). 1466–1476. 231 indexed citations
16.
Modrek, Barmak, Lin Ge, Ajay Pandita, et al.. (2009). Oncogenic Activating Mutations Are Associated with Local Copy Gain. Molecular Cancer Research. 7(8). 1244–1252. 51 indexed citations
17.
Lin, Eva, Jane E. Cavanaugh, Rehana K. Leak, Ruth G. Perez, & Michael J. Zigmond. (2007). Rapid activation of ERK by 6‐hydroxydopamine promotes survival of dopaminergic cells. Journal of Neuroscience Research. 86(1). 108–117. 54 indexed citations
18.
Lin, Eva, et al.. (2003). Effects of GDNF on 6‐OHDA‐induced death in a dopaminergic cell line: Modulation by inhibitors of PI3 kinase and MEK. Journal of Neuroscience Research. 73(1). 105–112. 72 indexed citations
19.
Perez, Ruth G., et al.. (2002). A role for alpha-synuclein in the regulation of dopamine biosynthesis.. PubMed. 22(8). 3090–9. 535 indexed citations breakdown →
20.
Lin, Eva, Joseph H. Graziano, & Greg A. Freyer. (2001). Regulation of the 75-kDa Subunit of Mitochondrial Complex I by Iron. Journal of Biological Chemistry. 276(29). 27685–27692. 49 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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