Max Kühn

41.5k total citations · 3 hit papers
44 papers, 12.0k citations indexed

About

Max Kühn is a scholar working on Molecular Biology, Physiology and Artificial Intelligence. According to data from OpenAlex, Max Kühn has authored 44 papers receiving a total of 12.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Physiology and 6 papers in Artificial Intelligence. Recurrent topics in Max Kühn's work include Musculoskeletal pain and rehabilitation (4 papers), Alzheimer's disease research and treatments (4 papers) and Computational Drug Discovery Methods (4 papers). Max Kühn is often cited by papers focused on Musculoskeletal pain and rehabilitation (4 papers), Alzheimer's disease research and treatments (4 papers) and Computational Drug Discovery Methods (4 papers). Max Kühn collaborates with scholars based in United States, Brazil and United Kingdom. Max Kühn's co-authors include Kjell Johnson, Eve H. Pickering, Holly Soares, Jingxia Liu, Kelly R. Bales, Chengjie Xiong, Rebecca Craig‐Schapiro, Travis T. Wager, Thomas P. Misko and Richard J. Perrin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Medicinal Chemistry.

In The Last Decade

Max Kühn

41 papers receiving 11.7k citations

Hit Papers

align trajectories

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.

Building Predictive Models in R Using the caret Package

2008 6.0k citations Max Kühn Journal of Statistical Software profile →
Applied Predictive Modeling

2013 4.5k citations Max Kühn, Kjell Johnson CERN Document Server (European Organization for Nuclear Research) profile →
Building Predictive Models in R Using the caret Package

2008 519 citations Max Kühn SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Max Kühn United States	17	1.8k	1.5k	1.5k	1.4k	1.1k	44	12.0k
Anne‐Laure Boulesteix Germany	47	2.6k 1.5×	1.2k 0.8×	1.8k 1.2×	846 0.6×	971 0.9×	148	12.0k
Kerrie Mengersen Australia	57	639 0.4×	2.6k 1.7×	1.7k 1.1×	1.5k 1.0×	2.1k 1.9×	562	16.9k
Carolin Strobl Germany	25	858 0.5×	1.3k 0.8×	1.3k 0.9×	846 0.6×	1.1k 1.0×	70	9.0k
Naomi Altman United States	59	2.8k 1.6×	899 0.6×	2.3k 1.5×	689 0.5×	716 0.6×	153	14.9k
Paul H.C. Eilers Netherlands	54	2.6k 1.4×	943 0.6×	818 0.6×	666 0.5×	643 0.6×	205	13.9k
Matthew C. Wiener United States	15	2.3k 1.3×	3.4k 2.2×	1.9k 1.3×	2.0k 1.4×	2.3k 2.1×	26	15.8k
Hal S. Stern United States	38	1.0k 0.6×	1.5k 1.0×	2.9k 2.0×	653 0.5×	1.8k 1.6×	155	19.4k
Gareth James United States	27	910 0.5×	698 0.5×	2.8k 1.9×	910 0.6×	894 0.8×	60	13.8k
Ryan J. Tibshirani United States	24	735 0.4×	1.4k 0.9×	1.7k 1.2×	630 0.4×	1.4k 1.3×	70	12.0k
Sylvia Richardson United Kingdom	53	2.8k 1.5×	955 0.6×	4.1k 2.8×	848 0.6×	1.0k 0.9×	236	19.0k

Countries citing papers authored by Max Kühn

Since Specialization

Citations

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

Fields of papers citing papers by Max Kühn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Max Kühn

This figure shows the co-authorship network connecting the top 25 collaborators of Max Kühn. A scholar is included among the top collaborators of Max Kühn 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 Max Kühn. Max Kühn 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:

20 of 20 papers shown

Johnson, Kjell & Max Kühn. (2024). What they forgot to tell you about machine learning with an application to pharmaceutical manufacturing. Pharmaceutical Statistics. 24(1). e2366–e2366.

Tomić, Adriana, Levi Waldron, Ludwig Geistlinger, et al.. (2021). SIMON: Open-Source Knowledge Discovery Platform. Patterns. 2(1). 100178–100178. 6 indexed citations

Kim, Albert Y., et al.. (2021). Take a moderndive into introductory linear regression with R. 4(41). 115–115. 3 indexed citations

Kühn, Max, et al.. (2021). C5.0 Decision Trees and Rule-Based Models [R package C50 version 0.1.5]. 8 indexed citations

Thorarensen, Atli, Paul Balbo, Mary Ellen Banker, et al.. (2020). The advantages of describing covalent inhibitor in vitro potencies by IC50 at a fixed time point. IC50 determination of covalent inhibitors provides meaningful data to medicinal chemistry for SAR optimization. Bioorganic & Medicinal Chemistry. 29. 115865–115865. 41 indexed citations

Kühn, Max, et al.. (2019). Planejamento composicional de duas novas obras a partir da modelagem sistêmica da Modinha da Brasiliana N.1, de Osvaldo Lacerda. 7(1).

Kühn, Max, et al.. (2019). J-Analyzer: A Software for Computer-Assisted Analysis of Antônio Carlos Jobims Songs. 12–16. 2 indexed citations

Thakare, Rhishikesh, Hongying Gao, Rachel E. Kosa, et al.. (2017). Leveraging of Rifampicin-Dosed Cynomolgus Monkeys to Identify Bile Acid 3-O-Sulfate Conjugates as Potential Novel Biomarkers for Organic Anion-Transporting Polypeptides. Drug Metabolism and Disposition. 45(7). 721–733. 38 indexed citations

Kühn, Max, et al.. (2016). Modelagem sistêmica do primeiro movimento de Brinquedo de Roda, de Heitor Villa-Lobos, como uma metodologia para o planejamento composicional de Villa. 1 indexed citations

10.

Emir, Birol, Kjell Johnson, Max Kühn, & Bruce Parsons. (2016). Predictive Modeling of Response to Pregabalin for the Treatment of Neuropathic Pain Using 6-Week Observational Data: A Spectrum of Modern Analytics Applications. Clinical Therapeutics. 39(1). 98–106. 11 indexed citations

11.

Masters, Elizabeth T., Jack Mardekian, Birol Emir, et al.. (2015). Electronic medical record data to identify variables associated with a fibromyalgia diagnosis: importance of health care resource utilization. Journal of Pain Research. 8. 131–131. 10 indexed citations

12.

Kühn, Max. (2015). CRAN Task View: Reproducible Research. 1 indexed citations

13.

Fraser, Stephanie, et al.. (2014). Active glucagon-like peptide 1 quantitation in human plasma: A comparison of multiple ligand binding assay platforms. Journal of Immunological Methods. 407. 76–81. 6 indexed citations

14.

Kühn, Max & Kjell Johnson. (2013). Applied Predictive Modeling. CERN Document Server (European Organization for Nuclear Research). 4474 indexed citations breakdown →

15.

Mente, Scot & Max Kühn. (2012). The Use of the R Language for Medicinal Chemistry Applications. Current Topics in Medicinal Chemistry. 12(18). 1957–1964. 20 indexed citations

16.

Enayetallah, Ahmed, Daniel Ziemek, Michael T. Leininger, et al.. (2011). Modeling the Mechanism of Action of a DGAT1 Inhibitor Using a Causal Reasoning Platform. PLoS ONE. 6(11). e27009–e27009. 19 indexed citations

17.

Bernardo, Barbara, Patricia G. Cosgrove, Max Kühn, et al.. (2010). Postnatal PPARδ Activation and Myostatin Inhibition Exert Distinct yet Complimentary Effects on the Metabolic Profile of Obese Insulin-Resistant Mice. PLoS ONE. 5(6). e11307–e11307. 57 indexed citations

18.

Hu, William T., Alice Chen‐Plotkin, Steven E. Arnold, et al.. (2010). Novel CSF biomarkers for Alzheimer’s disease and mild cognitive impairment. Acta Neuropathologica. 119(6). 669–678. 150 indexed citations

19.

Kühn, Max. (2008). Building Predictive Models in R Using the caret Package. SHILAP Revista de lepidopterología. 519 indexed citations breakdown →

20.

Kühn, Max. (2008). Building Predictive Models in R Using the caret Package. Journal of Statistical Software. 28(5). 6034 indexed citations breakdown →

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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