Ryan A. McClure

756 total citations
16 papers, 543 citations indexed

About

Ryan A. McClure is a scholar working on Molecular Biology, Pharmacology and Biotechnology. According to data from OpenAlex, Ryan A. McClure has authored 16 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Pharmacology and 3 papers in Biotechnology. Recurrent topics in Ryan A. McClure's work include Microbial Natural Products and Biosynthesis (10 papers), Plant biochemistry and biosynthesis (4 papers) and Marine Sponges and Natural Products (3 papers). Ryan A. McClure is often cited by papers focused on Microbial Natural Products and Biosynthesis (10 papers), Plant biochemistry and biosynthesis (4 papers) and Marine Sponges and Natural Products (3 papers). Ryan A. McClure collaborates with scholars based in United States. Ryan A. McClure's co-authors include Neil L. Kelleher, Regan J. Thomson, Anthony W. Goering, Jessica C. Albright, Kou‐San Ju, William W. Metcalf, Alexandra A. Soukup, Matthew T. Henke, Nancy P. Keller and Michael W. Mullowney and has published in prestigious journals such as Journal of the American Chemical Society, Natural Product Reports and Journal of Proteome Research.

In The Last Decade

Ryan A. McClure

15 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan A. McClure United States	10	397	367	94	88	34	16	543
Marc Röttig Germany	6	428 1.1×	359 1.0×	111 1.2×	81 0.9×	72 2.1×	7	607
Matthew T. Robey United States	10	315 0.8×	299 0.8×	64 0.7×	55 0.6×	67 2.0×	17	491
Francisco Javier Ortiz‐López Spain	14	278 0.7×	291 0.8×	87 0.9×	105 1.2×	42 1.2×	29	484
Jessica C. Albright United States	7	516 1.3×	523 1.4×	121 1.3×	77 0.9×	65 1.9×	8	699
Agnes Mühlenweg Germany	10	400 1.0×	391 1.1×	103 1.1×	143 1.6×	39 1.1×	13	579
Satoshi Miyanaga Japan	13	237 0.6×	312 0.9×	191 2.0×	152 1.7×	62 1.8×	20	519
D. John Lee United States	12	529 1.3×	286 0.8×	69 0.7×	110 1.3×	41 1.2×	15	677
Alex P. Praseuth United States	8	351 0.9×	403 1.1×	113 1.2×	80 0.9×	54 1.6×	10	528
Lusong Luo United States	12	530 1.3×	371 1.0×	95 1.0×	94 1.1×	49 1.4×	19	695
Stefanie B. Bumpus United States	9	368 0.9×	385 1.0×	89 0.9×	100 1.1×	61 1.8×	11	523

Countries citing papers authored by Ryan A. McClure

Since Specialization

Citations

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

Fields of papers citing papers by Ryan A. McClure

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan A. McClure. 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 Ryan A. McClure. The network helps show where Ryan A. McClure may publish in the future.

Co-authorship network of co-authors of Ryan A. McClure

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan A. McClure. A scholar is included among the top collaborators of Ryan A. McClure 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 Ryan A. McClure. Ryan A. McClure 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

Jing, Hui, Paul L. Richardson, Gregory K. Potts, et al.. (2025). Automated High-Throughput Affinity Capture-Mass Spectrometry Platform with Data-Independent Acquisition. Journal of Proteome Research. 24(2). 537–549. 1 indexed citations

Lynch, Thomas L., Violeta L. Marin, Ryan A. McClure, et al.. (2024). Quantitative Measurement of Rate of Targeted Protein Degradation. ACS Chemical Biology. 19(7). 1604–1615. 5 indexed citations

Plotnik, Joshua P., Irene Lee, Jacob Riehm, et al.. (2024). MYC Family Amplification Dictates Sensitivity to BET Bromodomain Protein Inhibitor Mivebresib (ABBV075) in Small-Cell Lung Cancer. Molecular Cancer Research. 22(8). 689–698.

Rowley, Ann, Brian S. Brown, Mary R. Stofega, et al.. (2022). Targeting IRAK3 for Degradation to Enhance IL-12 Pro-inflammatory Cytokine Production. ACS Chemical Biology. 17(6). 1315–1320. 6 indexed citations

McClure, Ryan A. & Jon D. Williams. (2018). Impact of Mass Spectrometry-Based Technologies and Strategies on Chemoproteomics as a Tool for Drug Discovery. ACS Medicinal Chemistry Letters. 9(8). 785–791. 16 indexed citations

Parkinson, Elizabeth I., Anthony W. Goering, Kou‐San Ju, et al.. (2018). Discovery of the Tyrobetaine Natural Products and Their Biosynthetic Gene Cluster via Metabologenomics. ACS Chemical Biology. 13(4). 1029–1037. 35 indexed citations

Mullowney, Michael W., Ryan A. McClure, Matthew T. Robey, Neil L. Kelleher, & Regan J. Thomson. (2018). Natural products from thioester reductase containing biosynthetic pathways. Natural Product Reports. 35(9). 847–878. 74 indexed citations

McClure, Ryan A., Anthony W. Goering, Kou‐San Ju, et al.. (2016). Elucidating the Rimosamide-Detoxin Natural Product Families and Their Biosynthesis Using Metabolite/Gene Cluster Correlations. ACS Chemical Biology. 11(12). 3452–3460. 40 indexed citations

Chen, Yunqiu, Ryan A. McClure, & Neil L. Kelleher. (2016). Screening for Expressed Nonribosomal Peptide Synthetases and Polyketide Synthases Using LC-MS/MS-Based Proteomics. Methods in molecular biology. 1401. 135–147. 4 indexed citations

10.

Goering, Anthony W., Ryan A. McClure, James R. Doroghazi, et al.. (2016). Metabologenomics: Correlation of Microbial Gene Clusters with Metabolites Drives Discovery of a Nonribosomal Peptide with an Unusual Amino Acid Monomer. ACS Central Science. 2(2). 99–108. 108 indexed citations

11.

Goering, Anthony W., Jian Li, Ryan A. McClure, et al.. (2016). In Vitro Reconstruction of Nonribosomal Peptide Biosynthesis Directly from DNA Using Cell-Free Protein Synthesis. ACS Synthetic Biology. 6(1). 39–44. 78 indexed citations

12.

Henke, Matthew T., Alexandra A. Soukup, Anthony W. Goering, et al.. (2016). New Aspercryptins, Lipopeptide Natural Products, Revealed by HDAC Inhibition in Aspergillus nidulans. ACS Chemical Biology. 11(8). 2117–2123. 41 indexed citations

13.

Albright, Jessica C., Matthew T. Henke, Alexandra A. Soukup, et al.. (2015). Large-Scale Metabolomics Reveals a Complex Response of Aspergillus nidulans to Epigenetic Perturbation. ACS Chemical Biology. 10(6). 1535–1541. 82 indexed citations

14.

Chen, Yunqiu, Ryan A. McClure, Yupeng Zheng, Regan J. Thomson, & Neil L. Kelleher. (2013). Proteomics Guided Discovery of Flavopeptins: Anti-proliferative Aldehydes Synthesized by a Reductase Domain-Containing Non-ribosomal Peptide Synthetase. Journal of the American Chemical Society. 135(28). 10449–10456. 26 indexed citations

15.

Chen, Yunqiu, Ioanna Ntai, Ryan A. McClure, et al.. (2012). Gobichelin A and B: mixed-ligandsiderophores discovered using proteomics. MedChemComm. 4(1). 233–238. 26 indexed citations

16.

McClure, Ryan A., et al.. (1986). Bilateral cataract surgery in a Suffolk ewe. Veterinary Record. 118(18). 512–513. 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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