C. David Mintz

1.1k total citations
41 papers, 813 citations indexed

About

C. David Mintz is a scholar working on Developmental Neuroscience, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, C. David Mintz has authored 41 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Developmental Neuroscience, 22 papers in Critical Care and Intensive Care Medicine and 17 papers in Anesthesiology and Pain Medicine. Recurrent topics in C. David Mintz's work include Anesthesia and Neurotoxicity Research (27 papers), Intensive Care Unit Cognitive Disorders (22 papers) and Anesthesia and Sedative Agents (17 papers). C. David Mintz is often cited by papers focused on Anesthesia and Neurotoxicity Research (27 papers), Intensive Care Unit Cognitive Disorders (22 papers) and Anesthesia and Sedative Agents (17 papers). C. David Mintz collaborates with scholars based in United States, China and Australia. C. David Mintz's co-authors include Deanna L. Benson, Stephen R. Salton, Tracey C. Dickson, Sarah C. Smith, Jing Xu, Yun Kyoung Ryu, Eunchai Kang, Neil L. Harrison, Andreas W. Loepke and Qun Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

C. David Mintz

36 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. David Mintz United States 20 493 370 289 162 152 41 813
Andreas Eisenried Germany 9 102 0.2× 130 0.4× 270 0.9× 62 0.4× 29 0.2× 13 492
Junfeng Zhang China 15 129 0.3× 58 0.2× 25 0.1× 279 1.7× 88 0.6× 34 700
Silvia Mori Italy 15 21 0.0× 127 0.3× 68 0.2× 336 2.1× 151 1.0× 25 881
S R Sharar United States 14 37 0.1× 27 0.1× 133 0.5× 78 0.5× 71 0.5× 27 607
Chitoshi Kadoya Japan 14 29 0.1× 39 0.1× 59 0.2× 142 0.9× 57 0.4× 30 568
K. Anderson United States 12 23 0.0× 56 0.2× 129 0.4× 93 0.6× 47 0.3× 20 361
M BOYLE United States 4 81 0.2× 20 0.1× 17 0.1× 71 0.4× 55 0.4× 5 439
B Gebhardt Germany 10 20 0.0× 83 0.2× 46 0.2× 31 0.2× 82 0.5× 17 333
Robert J. Kahoud United States 10 131 0.3× 19 0.1× 12 0.0× 159 1.0× 128 0.8× 19 584
Adam P. Ostendorf United States 16 56 0.1× 11 0.0× 12 0.0× 214 1.3× 187 1.2× 43 836

Countries citing papers authored by C. David Mintz

Since Specialization
Citations

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

Fields of papers citing papers by C. David Mintz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. David Mintz. 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 C. David Mintz. The network helps show where C. David Mintz may publish in the future.

Co-authorship network of co-authors of C. David Mintz

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

All Works

20 of 20 papers shown
1.
Lee, Seoho, et al.. (2025). Effects of Perioperative Exposure on the Microbiome and Outcomes From an Immune Challenge in C57Bl/6 Adult Mice. Anesthesia & Analgesia. 142(1). 171–180. 2 indexed citations
2.
Mintz, C. David, et al.. (2025). AI-delirium guard: Predictive modeling of postoperative delirium in elderly surgical patients. PLoS ONE. 20(6). e0322032–e0322032.
3.
Baschat, Ahmet, et al.. (2024). Anesthetic neurotoxicity in the developing brain: an update on theinsights and implications for fetal surgery. SHILAP Revista de lepidopterología. 19(Suppl 1). S96–S104. 1 indexed citations
4.
Lee, Seoho, et al.. (2024). Recent Insights into the Evolving Role of the Gut Microbiome in Critical Care. Critical Care Clinics. 41(2). 379–396. 1 indexed citations
5.
6.
Chinn, Gregory A., Matthew L. Pearn, László Vutskits, et al.. (2020). Standards for preclinical research and publications in developmental anaesthetic neurotoxicity: expert opinion statement from the SmartTots preclinical working group. British Journal of Anaesthesia. 124(5). 585–593. 20 indexed citations
7.
Xu, Jing, et al.. (2019). Anesthetics disrupt growth cone guidance cue sensing through actions on the GABAA α2 receptor mediated by the immature chloride gradient. Neurotoxicology and Teratology. 74. 106812–106812. 3 indexed citations
8.
Xu, Jing, Shreya Singh, Ji‐Eun Kim, et al.. (2018). Early Developmental Exposure to Repetitive Long Duration of Midazolam Sedation Causes Behavioral and Synaptic Alterations in a Rodent Model of Neurodevelopment. Journal of Neurosurgical Anesthesiology. 31(1). 151–162. 27 indexed citations
9.
Xu, Jing, et al.. (2018). Early Developmental Exposure to General Anesthetic Agents in Primary Neuron Culture Disrupts Synapse Formation via Actions on the mTOR Pathway. International Journal of Molecular Sciences. 19(8). 2183–2183. 28 indexed citations
10.
Li, Changsheng, Michele L. Schaefer, Ya Yang, et al.. (2016). Sensitivity to isoflurane anesthesia increases in autism spectrum disorder Shank3+/∆c mutant mouse model. Neurotoxicology and Teratology. 60. 69–74. 11 indexed citations
11.
Kang, Eunchai, et al.. (2016). Neurogenesis and developmental anesthetic neurotoxicity. Neurotoxicology and Teratology. 60. 33–39. 28 indexed citations
12.
Laflam, Andrew, Daijiro Hori, Charles H. Brown, et al.. (2015). Evidence of an association between brain cellular injury and cognitive decline after non-cardiac surgery. British Journal of Anaesthesia. 116(1). 83–89. 52 indexed citations
13.
Kwak, Minhye, Sanghee Lim, Eunchai Kang, et al.. (2015). Effects of Neonatal Hypoxic-Ischemic Injury and Hypothermic Neuroprotection on Neural Progenitor Cells in the Mouse Hippocampus. Developmental Neuroscience. 37(4-5). 428–439. 23 indexed citations
14.
Bicket, Mark C., Eva K. Ritzl, Rafael J. Tamargo, & C. David Mintz. (2014). Conversion of Hemiblock to Complete Heart Block by Intraoperative Motor-Evoked Potential Monitoring. A & A Case Reports. 3(10). 137–139. 3 indexed citations
15.
Ryu, Yun Kyoung, et al.. (2014). Isoflurane Impairs the Capacity of Astrocytes to Support Neuronal Development in a Mouse Dissociated Coculture Model. Journal of Neurosurgical Anesthesiology. 26(4). 363–368. 28 indexed citations
16.
17.
Mintz, C. David, et al.. (2012). Anesthetics Interfere With the Polarization of Developing Cortical Neurons. Journal of Neurosurgical Anesthesiology. 24(4). 368–375. 33 indexed citations
18.
Mintz, C. David, et al.. (2012). Preclinical Research Into the Effects of Anesthetics on the Developing Brain. Journal of Neurosurgical Anesthesiology. 24(4). 362–367. 25 indexed citations
19.
Hoffman, Ellen J., et al.. (2008). Effects of ethanol on axon outgrowth and branching in developing rat cortical neurons. Neuroscience. 157(3). 556–565. 24 indexed citations
20.
Mintz, C. David. (1992). Isolation and characterization of a lipopolysaccharide mutant of Legionella pneumophila. FEMS Microbiology Letters. 93(3). 249–253. 4 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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