John Strelow

665 total citations
9 papers, 365 citations indexed

About

John Strelow is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, John Strelow has authored 9 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Oncology. Recurrent topics in John Strelow's work include Click Chemistry and Applications (2 papers), Peptidase Inhibition and Analysis (2 papers) and Computational Drug Discovery Methods (2 papers). John Strelow is often cited by papers focused on Click Chemistry and Applications (2 papers), Peptidase Inhibition and Analysis (2 papers) and Computational Drug Discovery Methods (2 papers). John Strelow collaborates with scholars based in United States, United Kingdom and Australia. John Strelow's co-authors include J McGee, Jeffrey A Radding, Harold B. Brooks, Jeffrey R. Weidner, Walthère Dewé, Jarrod Walsh, Jonathan B. Baell, Jonathan A. Lee, Bridget K. Wagner and Douglas S. Auld and has published in prestigious journals such as Cancer Research, Methods in enzymology on CD-ROM/Methods in enzymology and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

John Strelow

9 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Strelow United States	7	247	129	84	65	32	9	365
Stéphane De Cesco Canada	11	316 1.3×	200 1.6×	150 1.8×	82 1.3×	32 1.0×	12	487
Jonathan Lippy United States	13	349 1.4×	124 1.0×	118 1.4×	83 1.3×	32 1.0×	25	505
Fandi Sutanto Netherlands	6	204 0.8×	163 1.3×	69 0.8×	53 0.8×	23 0.7×	9	343
Mihiret T. Sisay Germany	9	214 0.9×	83 0.6×	118 1.4×	53 0.8×	19 0.6×	12	365
Alessandro Padova Italy	13	335 1.4×	161 1.2×	179 2.1×	63 1.0×	27 0.8×	22	529
Sameh Eid Egypt	10	355 1.4×	201 1.6×	171 2.0×	65 1.0×	27 0.8×	16	647
Michael Smolinski United States	10	318 1.3×	91 0.7×	156 1.9×	122 1.9×	18 0.6×	18	504
Viktor S. Stroylov Russia	13	295 1.2×	109 0.8×	165 2.0×	83 1.3×	15 0.5×	33	562
Aras Emdadi United States	10	359 1.5×	139 1.1×	103 1.2×	71 1.1×	15 0.5×	10	479
Lei Du‐Cuny United States	12	333 1.3×	85 0.7×	115 1.4×	51 0.8×	11 0.3×	14	467

Countries citing papers authored by John Strelow

Since Specialization

Citations

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

Fields of papers citing papers by John Strelow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Strelow

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Dahlin, Jayme L., Douglas S. Auld, Ina Rothenaigner, et al.. (2021). Nuisance compounds in cellular assays. Cell chemical biology. 28(3). 356–370. 33 indexed citations

2.

Brooks, Nathan A., Lisa Kays, John Strelow, et al.. (2019). Abstract LB-274: Identification and characterization of LY3410738, a novel covalent inhibitor of cancer-associated mutant Isocitrate Dehydrogenase 1 (IDH1). Cancer Research. 79(13_Supplement). LB–274. 9 indexed citations

3.

Wijeratne, Aruna, Junpeng Xiao, Kelly Furness, et al.. (2018). Chemical Proteomic Characterization of a Covalent KRASG12C Inhibitor. ACS Medicinal Chemistry Letters. 9(6). 557–562. 14 indexed citations

4.

Young, Tracy A., Ben Moree, Margaret T. Butko, et al.. (2018). Second-Harmonic Generation (SHG) for Conformational Measurements: Assay Development, Optimization, and Screening. Methods in enzymology on CD-ROM/Methods in enzymology. 610. 167–190. 10 indexed citations

5.

Strelow, John. (2016). A Perspective on the Kinetics of Covalent and Irreversible Inhibition. SLAS DISCOVERY. 22(1). 3–20. 242 indexed citations

6.

Strelow, John, et al.. (2016). The Use of Nucleosome Substrates Improves Binding of SAM Analogs to SETD8. SLAS DISCOVERY. 21(8). 786–794. 6 indexed citations

7.

Gao, Cen, et al.. (2015). Beyond PAINs: Chemotype Sensitivity of Protein Methyltransferases in Screens. ACS Medicinal Chemistry Letters. 7(2). 156–161. 4 indexed citations

8.

Strelow, John, Walthère Dewé, Harold B. Brooks, et al.. (2012). Mechanism of Action Assays for Enzymes. 36 indexed citations

9.

Holmes, Ian P., Steve P. Watson, Olivier Lorthioir, et al.. (2009). The identification of β-hydroxy carboxylic acids as selective MMP-12 inhibitors. Bioorganic & Medicinal Chemistry Letters. 19(19). 5760–5763. 11 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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