Kyle D. Konze

1.3k total citations
10 papers, 613 citations indexed

About

Kyle D. Konze is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Kyle D. Konze has authored 10 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Materials Chemistry. Recurrent topics in Kyle D. Konze's work include Epigenetics and DNA Methylation (8 papers), Cancer-related gene regulation (4 papers) and Histone Deacetylase Inhibitors Research (3 papers). Kyle D. Konze is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Cancer-related gene regulation (4 papers) and Histone Deacetylase Inhibitors Research (3 papers). Kyle D. Konze collaborates with scholars based in United States, Canada and Russia. Kyle D. Konze's co-authors include Jian Jin, Gang Greg Wang, H. Ümit Kanıskan, Bowen Xu, Masoud Vedadi, Fengling Li, Anqi Ma, Pieter H. Bos, Robert Abel and Sathesh Bhat and has published in prestigious journals such as Blood, Journal of Medicinal Chemistry and Journal of Chemical Information and Modeling.

In The Last Decade

Kyle D. Konze

10 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle D. Konze United States	8	539	107	61	58	56	10	613
Steven K. Albanese United States	8	312 0.6×	99 0.9×	31 0.5×	57 1.0×	43 0.8×	10	390
Jamel Meslamani United States	11	465 0.9×	223 2.1×	88 1.4×	36 0.6×	16 0.3×	13	557
Rosemary Burke United Kingdom	13	404 0.7×	54 0.5×	36 0.6×	22 0.4×	71 1.3×	24	579
Vivek Modi United States	9	494 0.9×	156 1.5×	27 0.4×	113 1.9×	24 0.4×	12	643
Craig McAndrew United Kingdom	13	403 0.7×	51 0.5×	31 0.5×	20 0.3×	20 0.4×	21	527
Luwei Liu United States	5	312 0.6×	71 0.7×	16 0.3×	21 0.4×	42 0.8×	11	509
Alexander Gozman United States	8	612 1.1×	139 1.3×	16 0.3×	54 0.9×	53 0.9×	22	778
Miki Newman United States	5	249 0.5×	76 0.7×	87 1.4×	16 0.3×	16 0.3×	5	335
John W. Rice United States	9	338 0.6×	72 0.7×	25 0.4×	34 0.6×	22 0.4×	12	473
Amy F. Barabasz United States	7	327 0.6×	71 0.7×	25 0.4×	33 0.6×	18 0.3×	8	442

Countries citing papers authored by Kyle D. Konze

Since Specialization

Citations

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

Fields of papers citing papers by Kyle D. Konze

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle D. Konze. 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 Kyle D. Konze. The network helps show where Kyle D. Konze may publish in the future.

Co-authorship network of co-authors of Kyle D. Konze

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

All Works

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10 of 10 papers shown

Ghanakota, Phani, Pieter H. Bos, Kyle D. Konze, et al.. (2020). Combining Cloud-Based Free-Energy Calculations, Synthetically Aware Enumerations, and Goal-Directed Generative Machine Learning for Rapid Large-Scale Chemical Exploration and Optimization. Journal of Chemical Information and Modeling. 60(9). 4311–4325. 34 indexed citations

Xu, Bowen, Kyle D. Konze, Jian Jin, & Gang Greg Wang. (2020). Targeting EZH2 and PRC2 dependence as novel anticancer therapy. UNC Libraries. 2 indexed citations

Konze, Kyle D., Pieter H. Bos, Markus K. Dahlgren, et al.. (2019). Reaction-Based Enumeration, Active Learning, and Free Energy Calculations To Rapidly Explore Synthetically Tractable Chemical Space and Optimize Potency of Cyclin-Dependent Kinase 2 Inhibitors. Journal of Chemical Information and Modeling. 59(9). 3782–3793. 91 indexed citations

Wrobel, John A., Ling Xie, Li Wang, et al.. (2019). Multi-omic Dissection of Oncogenically Active Epiproteomes Identifies Drivers of Proliferative and Invasive Breast Tumors. iScience. 17. 359–378. 3 indexed citations

Yang, Xiaobao, Fengling Li, Kyle D. Konze, et al.. (2016). Structure–Activity Relationship Studies for Enhancer of Zeste Homologue 2 (EZH2) and Enhancer of Zeste Homologue 1 (EZH1) Inhibitors. Journal of Medicinal Chemistry. 59(16). 7617–7633. 46 indexed citations

Xu, Bowen, Kyle D. Konze, Jian Jin, & Gang Greg Wang. (2015). Targeting EZH2 and PRC2 dependence as novel anticancer therapy. Experimental Hematology. 43(8). 698–712. 96 indexed citations

Wang, Gang Greg, Kyle D. Konze, & Jianguo Tao. (2015). Polycomb genes, miRNA, and their deregulation in B-cell malignancies. Blood. 125(8). 1217–1225. 35 indexed citations

Konze, Kyle D., Samantha G. Pattenden, Feng Liu, et al.. (2014). A Chemical Tool for In Vitro and In Vivo Precipitation of Lysine Methyltransferase G9a. ChemMedChem. 9(3). 549–553. 26 indexed citations

Xu, Bowen, Anqi Ma, Trevor Parton, et al.. (2014). Selective inhibition of EZH2 and EZH1 enzymatic activity by a small molecule suppresses MLL-rearranged leukemia. Blood. 125(2). 346–357. 173 indexed citations

10.

Kanıskan, H. Ümit, Kyle D. Konze, & Jian Jin. (2014). Selective Inhibitors of Protein Methyltransferases. Journal of Medicinal Chemistry. 58(4). 1596–1629. 107 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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