Lynn M. McGregor

1.8k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Lynn M. McGregor is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Lynn M. McGregor has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Oncology. Recurrent topics in Lynn M. McGregor's work include Protein Degradation and Inhibitors (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Ubiquitin and proteasome pathways (4 papers). Lynn M. McGregor is often cited by papers focused on Protein Degradation and Inhibitors (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Ubiquitin and proteasome pathways (4 papers). Lynn M. McGregor collaborates with scholars based in United States, Switzerland and China. Lynn M. McGregor's co-authors include David R. Liu, Christoph E. Dumelin, Alix I Chan, David J. Gorin, Markus Schirle, Scott M. Brittain, Jeffrey M. McKenna, John A. Tallarico, Daniel K. Nomura and Gregory E. Jordan and has published in prestigious journals such as Journal of the American Chemical Society, Biochemistry and Nature Methods.

In The Last Decade

Lynn M. McGregor

15 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Rational Chemical Design of Molecular Glue Degraders

2023 103 citations Ethan S. Toriki, James W. Papatzimas et al. ACS Central Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lynn M. McGregor United States	13	770	206	193	144	142	16	1.1k
Chad D. Paavola United States	15	821 1.1×	176 0.9×	85 0.4×	425 3.0×	149 1.0×	26	1.5k
Ranganath Parthasarathy United States	12	738 1.0×	103 0.5×	144 0.7×	80 0.6×	64 0.5×	20	1.1k
Sarah A. Shelby United States	12	815 1.1×	281 1.4×	137 0.7×	106 0.7×	123 0.9×	20	1.3k
Kay‐E. Gottschalk Germany	10	371 0.5×	149 0.7×	39 0.2×	107 0.7×	275 1.9×	15	915
Lucia Napione Italy	17	554 0.7×	232 1.1×	50 0.3×	114 0.8×	102 0.7×	38	947
Alborz Mahdavi United States	15	762 1.0×	493 2.4×	248 1.3×	140 1.0×	202 1.4×	20	1.4k
Cherlhyun Jeong South Korea	22	1.1k 1.4×	516 2.5×	37 0.2×	112 0.8×	84 0.6×	55	1.7k
Mandana Veiseh United States	16	728 0.9×	576 2.8×	37 0.2×	227 1.6×	331 2.3×	20	1.5k
Anna Jagielska United States	19	642 0.8×	167 0.8×	55 0.3×	26 0.2×	160 1.1×	35	1.1k

Countries citing papers authored by Lynn M. McGregor

Since Specialization

Citations

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

Fields of papers citing papers by Lynn M. McGregor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lynn M. McGregor. 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 Lynn M. McGregor. The network helps show where Lynn M. McGregor may publish in the future.

Co-authorship network of co-authors of Lynn M. McGregor

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

All Works

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16 of 16 papers shown

Lin, Fan, Lynn M. McGregor, Andrew Krueger, et al.. (2025). Photoaffinity enabled transcriptome-wide identification of splice modulating small molecule–RNA binding events in native cells. RSC Chemical Biology. 6(6). 905–918.

Toriki, Ethan S., James W. Papatzimas, Dustin Dovala, et al.. (2023). Rational Chemical Design of Molecular Glue Degraders. ACS Central Science. 9(5). 915–926. 103 indexed citations breakdown →

Pinch, Benika J., Dennis L. Buckley, Scott Gleim, et al.. (2021). A strategy to assess the cellular activity of E3 ligase components against neo-substrates using electrophilic probes. Cell chemical biology. 29(1). 57–66.e6. 14 indexed citations

Isobe, Yosuke, Mikiko Okumura, Lynn M. McGregor, et al.. (2020). Manumycin polyketides act as molecular glues between UBR7 and P53. Nature Chemical Biology. 16(11). 1189–1198. 91 indexed citations

Tong, Bingqi, Jessica N. Spradlin, Luiz F. T. Novaes, et al.. (2020). A Nimbolide-Based Kinase Degrader Preferentially Degrades Oncogenic BCR-ABL. ACS Chemical Biology. 15(7). 1788–1794. 84 indexed citations

McGregor, Lynn M., et al.. (2017). Expanding the Scope of Electrophiles Capable of Targeting K-Ras Oncogenes. Biochemistry. 56(25). 3178–3183. 65 indexed citations

Chan, Alix I, et al.. (2017). Discovery of a Covalent Kinase Inhibitor from a DNA-Encoded Small-Molecule Library × Protein Library Selection. Journal of the American Chemical Society. 139(30). 10192–10195. 70 indexed citations

Chan, Alix I, Lynn M. McGregor, & David R. Liu. (2015). Novel selection methods for DNA-encoded chemical libraries. Current Opinion in Chemical Biology. 26. 55–61. 53 indexed citations

Shastri, Ankita, Lynn M. McGregor, Ya Liu, et al.. (2015). An aptamer-functionalized chemomechanically modulated biomolecule catch-and-release system. Nature Chemistry. 7(5). 447–454. 146 indexed citations

10.

Blakely, Brandon L., Christoph E. Dumelin, Britta Trappmann, et al.. (2014). A DNA-based molecular probe for optically reporting cellular traction forces. Nature Methods. 11(12). 1229–1232. 168 indexed citations

11.

McGregor, Lynn M., et al.. (2014). Identification of Ligand–Target Pairs from Combined Libraries of Small Molecules and Unpurified Protein Targets in Cell Lysates. Journal of the American Chemical Society. 136(8). 3264–3270. 77 indexed citations

12.

McGregor, Lynn M., David J. Gorin, Christoph E. Dumelin, & David R. Liu. (2010). Interaction-Dependent PCR: Identification of Ligand−Target Pairs from Libraries of Ligands and Libraries of Targets in a Single Solution-Phase Experiment. Journal of the American Chemical Society. 132(44). 15522–15524. 86 indexed citations

13.

Daniels, Douglas S., et al.. (2008). Minimally Cationic Cell-Permeable Miniature Proteins via α-Helical Arginine Display. Journal of the American Chemical Society. 130(10). 2948–2949. 94 indexed citations

14.

McGregor, Lynn M., et al.. (2007). Photopolymerized poly(ethylene glycol)/poly(L-lysine) hydrogels for the delivery of neural progenitor cells. Journal of Biomaterials Science Polymer Edition. 18(8). 1017–1030. 51 indexed citations

15.

McGregor, Lynn M.. (2001). Improving the quality and speed of decision making. Journal of Change Management. 2(4). 344–356. 11 indexed citations

16.

Renaud, Sylvie & Lynn M. McGregor. (1980). Acides gras essentiels et membrane plaquettaire en relation avec l'agrégation.. 34(2). 1 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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