Maxwell Muench

1.0k total citations
9 papers, 273 citations indexed

About

Maxwell Muench is a scholar working on Critical Care and Intensive Care Medicine, Anesthesiology and Pain Medicine and Developmental Neuroscience. According to data from OpenAlex, Maxwell Muench has authored 9 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Critical Care and Intensive Care Medicine, 6 papers in Anesthesiology and Pain Medicine and 5 papers in Developmental Neuroscience. Recurrent topics in Maxwell Muench's work include Anesthesia and Sedative Agents (6 papers), Intensive Care Unit Cognitive Disorders (6 papers) and Anesthesia and Neurotoxicity Research (5 papers). Maxwell Muench is often cited by papers focused on Anesthesia and Sedative Agents (6 papers), Intensive Care Unit Cognitive Disorders (6 papers) and Anesthesia and Neurotoxicity Research (5 papers). Maxwell Muench collaborates with scholars based in United States and Canada. Maxwell Muench's co-authors include Hannah Maybrier, Michael S. Avidan, Nan Lin, Yulong Chen, Krisztina Escallier, Bradley A. Fritz, Arbi Ben Abdallah, Philip L. Kalarickal, George A. Mashour and Max B. Kelz and has published in prestigious journals such as Anesthesia & Analgesia, British Journal of Anaesthesia and BMJ Open.

In The Last Decade

Maxwell Muench

9 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxwell Muench United States 5 199 193 149 74 53 9 273
Hannah Maybrier United States 10 316 1.6× 334 1.7× 246 1.7× 114 1.5× 71 1.3× 16 469
Amy Gaskell New Zealand 8 244 1.2× 163 0.8× 159 1.1× 73 1.0× 104 2.0× 14 377
Molly R. Nadelson United States 5 164 0.8× 229 1.2× 175 1.2× 135 1.8× 13 0.2× 6 296
Marissa White Australia 8 94 0.5× 138 0.7× 107 0.7× 27 0.4× 56 1.1× 9 217
V Piat France 7 350 1.8× 119 0.6× 234 1.6× 96 1.3× 19 0.4× 13 428
Xinchun Mei China 8 77 0.4× 118 0.6× 79 0.5× 41 0.6× 13 0.2× 11 278
Siv Cathrine Høymork Norway 6 280 1.4× 66 0.3× 144 1.0× 89 1.2× 37 0.7× 9 330
Vikram Ponnusamy United States 5 62 0.3× 230 1.2× 192 1.3× 110 1.5× 12 0.2× 6 311
P. Sepúlveda Chile 10 288 1.4× 81 0.4× 145 1.0× 51 0.7× 52 1.0× 23 364
Ann L. G. Vanluchene Belgium 4 229 1.2× 86 0.4× 112 0.8× 41 0.6× 106 2.0× 5 300

Countries citing papers authored by Maxwell Muench

Since Specialization
Citations

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

Fields of papers citing papers by Maxwell Muench

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxwell Muench

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

All Works

9 of 9 papers shown
1.
Kafashan, MohammadMehdi, Stefanie Blain‐Moraes, Mathias Basner, et al.. (2022). The posterior dominant rhythm: an electroencephalographic biomarker for cognitive recovery after general anaesthesia. British Journal of Anaesthesia. 130(2). e233–e242. 11 indexed citations
2.
Oberhaus, Jordan, Wei Wang, Angela M. Mickle, et al.. (2021). Evaluation of the 3-Minute Diagnostic Confusion Assessment Method for Identification of Postoperative Delirium in Older Patients. JAMA Network Open. 4(12). e2137267–e2137267. 9 indexed citations
3.
Wang, Wei, Connor Brennan, Hoameng Ung, et al.. (2019). Duration of EEG suppression does not predict recovery time or degree of cognitive impairment after general anaesthesia in human volunteers. British Journal of Anaesthesia. 123(2). 206–218. 39 indexed citations
5.
Mickle, Angela M., Hannah Maybrier, Anke Winter, et al.. (2017). Achieving Milestones as a Prerequisite for Proceeding With a Clinical Trial. Anesthesia & Analgesia. 126(6). 1851–1858. 4 indexed citations
6.
Muench, Maxwell, et al.. (2016). Effects of light on sleep, emotions and immunological variables in demented patients. Journal of Sleep Research. 25. 202–202. 1 indexed citations
7.
Fritz, Bradley A., Philip L. Kalarickal, Hannah Maybrier, et al.. (2016). Intraoperative Electroencephalogram Suppression Predicts Postoperative Delirium. Survey of Anesthesiology. 60(4). 165–166. 2 indexed citations
8.
Fritz, Bradley A., Philip L. Kalarickal, Hannah Maybrier, et al.. (2015). Intraoperative Electroencephalogram Suppression Predicts Postoperative Delirium. Anesthesia & Analgesia. 122(1). 234–242. 202 indexed citations
9.
Cajochen, Christian, et al.. (2012). Evidence for a circalunar rhythm in human sleep structure, melatonin and cortisol levels. Journal of Sleep Research. 21. 210–211. 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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