Chenwei Lin

10.8k total citations
54 papers, 2.7k citations indexed

About

Chenwei Lin is a scholar working on Molecular Biology, Spectroscopy and Pharmacology. According to data from OpenAlex, Chenwei Lin has authored 54 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 11 papers in Spectroscopy and 6 papers in Pharmacology. Recurrent topics in Chenwei Lin's work include Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (9 papers) and Coffee research and impacts (6 papers). Chenwei Lin is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (9 papers) and Coffee research and impacts (6 papers). Chenwei Lin collaborates with scholars based in United States, Taiwan and France. Chenwei Lin's co-authors include Amanda G. Paulovich, Jeffrey R. Whiteaker, Richard G. Ivey, Uliana J. Voytovich, Steven D. Tanksley, Lukas A. Mueller, Jacob J. Kennedy, Pei Wang, Lei Zhao and S. D. Tanksley and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Chenwei Lin

53 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenwei Lin United States 25 1.7k 666 479 436 240 54 2.7k
Monique Slijper Netherlands 35 2.5k 1.5× 429 0.6× 468 1.0× 752 1.7× 154 0.6× 54 3.5k
Naohiro Tsuyama Japan 26 1.3k 0.8× 630 0.9× 112 0.2× 484 1.1× 158 0.7× 68 2.3k
Robert J. Hickey United States 31 2.7k 1.6× 854 1.3× 143 0.3× 292 0.7× 262 1.1× 103 3.3k
Sheenah M. Mische United States 16 1.8k 1.1× 291 0.4× 169 0.4× 341 0.8× 191 0.8× 34 2.9k
Hongjun Shu United States 20 2.6k 1.5× 452 0.7× 402 0.8× 700 1.6× 127 0.5× 25 3.7k
Adriana González United States 26 1.1k 0.7× 479 0.7× 281 0.6× 379 0.9× 105 0.4× 62 2.2k
Miao Yin China 27 1.3k 0.8× 330 0.5× 229 0.5× 183 0.4× 81 0.3× 83 2.4k
Anna Santamaría Spain 31 3.1k 1.8× 566 0.8× 543 1.1× 407 0.9× 131 0.5× 68 4.0k
Catherine Guette France 24 944 0.6× 385 0.6× 201 0.4× 154 0.4× 122 0.5× 61 2.0k
Tanveer S. Batth United States 29 3.2k 1.9× 142 0.2× 257 0.5× 689 1.6× 228 0.9× 41 3.8k

Countries citing papers authored by Chenwei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chenwei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenwei Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chenwei Lin. A scholar is included among the top collaborators of Chenwei 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 Chenwei Lin. Chenwei 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
2.
Kwon, Hyung‐Jun, Ravin Seepersaud, Michelle C. Coleman, et al.. (2025). The serine protease HtrA regulates Group B Streptococcus virulence and affects the host response to infection. PLoS Pathogens. 21(10). e1013562–e1013562.
3.
Lautz, Jonathan D., Joshua A. Gustafson, Ashley Wilson, et al.. (2024). Differential protein-protein interactions underlie signaling mediated by the TCR and a 4-1BB domain–containing CAR. Science Signaling. 17(826). eadd4671–eadd4671. 4 indexed citations
5.
Lin, Chenwei, Regine M. Schoenherr, Uliana J. Voytovich, et al.. (2024). RNA and phosphoprotein profiles of TP53- and PTEN-knockouts in MCF10A at baseline and responding to DNA damage. Scientific Data. 11(1). 27–27. 3 indexed citations
6.
Lin, Chenwei, et al.. (2023). Assessing Agreement and Variability Among Alternative Devices for Intraocular Pressure Measurement: A Comparative Study. Clinical ophthalmology. Volume 17. 3453–3461. 6 indexed citations
7.
Kennedy, Jacob J., Richard G. Ivey, Chenwei Lin, et al.. (2022). Preserving the Phosphoproteome of Clinical Biopsies Using a Quick-Freeze Collection Device. Biopreservation and Biobanking. 20(5). 436–445. 1 indexed citations
8.
Huang, Dongqing, Sara R. Savage, Anna Calinawan, et al.. (2021). A highly annotated database of genes associated with platinum resistance in cancer. Oncogene. 40(46). 6395–6405. 81 indexed citations
9.
Whiteaker, Jeffrey R., Lei Zhao, Richard G. Ivey, et al.. (2018). Targeted mass spectrometry enables robust quantification of FANCD2 mono-ubiquitination in response to DNA damage. DNA repair. 65. 47–53. 12 indexed citations
10.
Huang, Dongqing, Brian Piening, Jacob J. Kennedy, et al.. (2016). DNA Replication Stress Phosphoproteome Profiles Reveal Novel Functional Phosphorylation Sites on Xrs2 in Saccharomyces cerevisiae. Genetics. 203(1). 353–368. 3 indexed citations
11.
Schoenherr, Regine M., Jeffrey R. Whiteaker, Lei Zhao, et al.. (2012). Multiplexed quantification of estrogen receptor and HER2/Neu in tissue and cell lysates by peptide immunoaffinity enrichment mass spectrometry. PROTEOMICS. 12(8). 1253–1260. 41 indexed citations
12.
Lin, Chenwei, et al.. (2011). Applying a territory mapping method to census the breeding bird community composition in a montane forest of Taiwan.. Táiwān línyè kēxué. 26(3). 267–285. 3 indexed citations
13.
Schaffer, Bethany E., Gloria Yiu, Jamie F. Conklin, et al.. (2010). Loss of p130 Accelerates Tumor Development in a Mouse Model for Human Small-Cell Lung Carcinoma. Cancer Research. 70(10). 3877–3883. 161 indexed citations
14.
Wang, Zhong, Masayuki Iwasaki, Francesca Ficara, et al.. (2010). GSK-3 Promotes Conditional Association of CREB and Its Coactivators with MEIS1 to Facilitate HOX-Mediated Transcription and Oncogenesis. Cancer Cell. 17(6). 597–608. 98 indexed citations
15.
Vicent, Silvestre, Chen Ron, Leanne C. Sayles, et al.. (2010). Wilms tumor 1 (WT1) regulates KRAS-driven oncogenesis and senescence in mouse and human models. Journal of Clinical Investigation. 120(11). 3940–3952. 101 indexed citations
16.
Salehi‐Ashtiani, Kourosh, Chenwei Lin, Tong Hao, et al.. (2009). Large-scale RACE approach for proactive experimental definition of C. elegans ORFeome. Genome Research. 19(12). 2334–2342. 12 indexed citations
17.
18.
Salehi‐Ashtiani, Kourosh, Xinping Yang, Adnan Derti, et al.. (2008). Isoform discovery by targeted cloning, 'deep-well' pooling and parallel sequencing. Nature Methods. 5(7). 597–600. 19 indexed citations
19.
Simkin, Andrew J., Victoria Caillet, Franck Michoux, et al.. (2006). Oleosin gene family of Coffea canephora: Quantitative expression analysis of five oleosin genes in developing and germinating coffee grain. Journal of Plant Physiology. 163(7). 691–708. 52 indexed citations
20.
Lane, Timothy F., Chenwei Lin, Melissa A. Brown, Ellen Solomon, & Philip Leder. (2000). Gene replacement with the human BRCA1 locus: tissue specific expression and rescue of embryonic lethality in mice. Oncogene. 19(36). 4085–4090. 21 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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