Patrick K. Kimes

3.6k total citations
10 papers, 507 citations indexed

About

Patrick K. Kimes is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Patrick K. Kimes has authored 10 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Patrick K. Kimes's work include Monoclonal and Polyclonal Antibodies Research (2 papers), Bioinformatics and Genomic Networks (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Patrick K. Kimes is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (2 papers), Bioinformatics and Genomic Networks (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Patrick K. Kimes collaborates with scholars based in United States, France and United Kingdom. Patrick K. Kimes's co-authors include J. S. Marron, D. Neil Hayes, Yufeng Liu, Alejandro Reyes, Claire Duvallet, Chinmay Shukla, Stephanie C. Hicks, Keegan Korthauer, Ayshwarya Subramanian and Mingxiang Teng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Patrick K. Kimes

9 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patrick K. Kimes United States	7	207	82	60	52	50	10	507
Brandon Jew United States	7	221 1.1×	58 0.7×	47 0.8×	81 1.6×	28 0.6×	11	447
Olga Saik Russia	15	307 1.5×	92 1.1×	39 0.7×	61 1.2×	34 0.7×	44	586
Valentin Dinu United States	14	249 1.2×	136 1.7×	36 0.6×	40 0.8×	37 0.7×	32	550
Huaying Fang China	10	305 1.5×	78 1.0×	50 0.8×	43 0.8×	104 2.1×	25	622
Yiran Yang China	11	280 1.4×	75 0.9×	33 0.6×	54 1.0×	90 1.8×	34	625
П. С. Деменков Russia	16	433 2.1×	84 1.0×	40 0.7×	64 1.2×	51 1.0×	77	674
Demis A. Kia United Kingdom	7	377 1.8×	113 1.4×	38 0.6×	68 1.3×	33 0.7×	10	695
Divyansh Agarwal United States	13	277 1.3×	74 0.9×	110 1.8×	51 1.0×	30 0.6×	65	824
Seong‐Joon Park South Korea	12	220 1.1×	44 0.5×	41 0.7×	59 1.1×	93 1.9×	54	514

Countries citing papers authored by Patrick K. Kimes

Since Specialization

Citations

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

Fields of papers citing papers by Patrick K. Kimes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick K. Kimes. 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 Patrick K. Kimes. The network helps show where Patrick K. Kimes may publish in the future.

Co-authorship network of co-authors of Patrick K. Kimes

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick K. Kimes. A scholar is included among the top collaborators of Patrick K. Kimes 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 Patrick K. Kimes. Patrick K. Kimes 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

Yüce, Anıl, Christian Doerig, Agata Mosinska, et al.. (2024). Deep Learning Predicts Risk of Large B-Cell Lymphoma Progression upon R-CHOP Therapy from Baseline Histology. Blood. 144(Supplement 1). 108–108.

Kock, Kian Hong, Patrick K. Kimes, Stephen S. Gisselbrecht, et al.. (2024). DNA binding analysis of rare variants in homeodomains reveals homeodomain specificity-determining residues. Nature Communications. 15(1). 3110–3110. 7 indexed citations

Topp, Max S., Monica Tani, Michael Dickinson, et al.. (2023). Glofitamab Plus R-CHOP Induces High Response Rates with a Manageable Safety Profile in Patients with Previously Untreated Diffuse Large B-Cell Lymphoma (DLBCL): A 12-Month Analysis from a Phase Ib Study. Blood. 142(Supplement 1). 3085–3085. 15 indexed citations

Schröfelbauer, Bärbel, et al.. (2022). Discovery of antibodies and cognate surface targets for ovarian cancer by surface profiling. Proceedings of the National Academy of Sciences. 120(1). e2206751120–e2206751120. 3 indexed citations

Herrera, Alex F., Ronald McCord, Patrick K. Kimes, et al.. (2022). Risk Profiling of Patients with Previously Untreated Diffuse Large B-Cell Lymphoma (DLBCL) By Measuring Circulating Tumor DNA (ctDNA): Results from the POLARIX Study. Blood. 140(Supplement 1). 1297–1300. 13 indexed citations

Korthauer, Keegan, Patrick K. Kimes, Claire Duvallet, et al.. (2019). A practical guide to methods controlling false discoveries in computational biology. Genome biology. 20(1). 118–118. 252 indexed citations

VanDussen, Kelli L., Aleksandar Stojmirović, Katherine Li, et al.. (2018). Abnormal Small Intestinal Epithelial Microvilli in Patients With Crohn's Disease. Gastroenterology. 155(3). 815–828. 69 indexed citations

Kimes, Patrick K. & Alejandro Reyes. (2018). Reproducible and replicable comparisons using SummarizedBenchmark. Bioinformatics. 35(1). 137–139. 6 indexed citations

Kimes, Patrick K., Yufeng Liu, D. Neil Hayes, & J. S. Marron. (2017). Statistical Significance for Hierarchical Clustering. Biometrics. 73(3). 811–821. 128 indexed citations

10.

Kimes, Patrick K., Christopher R. Cabanski, Matthew D. Wilkerson, et al.. (2014). SigFuge: single gene clustering of RNA-seq reveals differential isoform usage among cancer samples. Nucleic Acids Research. 42(14). e113–e113. 14 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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