Charles E. Hudson

4.3k total citations
130 papers, 3.3k citations indexed

About

Charles E. Hudson is a scholar working on Atomic and Molecular Physics, and Optics, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Charles E. Hudson has authored 130 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Atomic and Molecular Physics, and Optics, 55 papers in Spectroscopy and 22 papers in Organic Chemistry. Recurrent topics in Charles E. Hudson's work include Advanced Chemical Physics Studies (63 papers), Mass Spectrometry Techniques and Applications (38 papers) and Spectroscopy and Quantum Chemical Studies (22 papers). Charles E. Hudson is often cited by papers focused on Advanced Chemical Physics Studies (63 papers), Mass Spectrometry Techniques and Applications (38 papers) and Spectroscopy and Quantum Chemical Studies (22 papers). Charles E. Hudson collaborates with scholars based in United States, Australia and United Kingdom. Charles E. Hudson's co-authors include David J. McAdoo, Paula C. Bickford, Carmelina Gemma, Adam D. Bachstetter, Josh M. Morganti, John C. Traeger, Bethany Grimmig, Melinda Peters, Edwin J. Weeber and Mibel Pabon and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Journal of Neuroscience.

In The Last Decade

Charles E. Hudson

128 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles E. Hudson United States 29 1.1k 774 649 515 450 130 3.3k
David J. McAdoo United States 42 321 0.3× 1.3k 1.7× 1.3k 2.1× 1.2k 2.4× 109 0.2× 199 6.2k
Yun‐wu Zhang China 43 1.5k 1.3× 419 0.5× 290 0.4× 2.4k 4.7× 713 1.6× 159 7.1k
Mikko I. Kettunen Finland 46 211 0.2× 990 1.3× 3.1k 4.8× 2.4k 4.6× 216 0.5× 119 8.2k
M. W. B. Bradbury United Kingdom 38 506 0.5× 92 0.1× 142 0.2× 1.4k 2.8× 150 0.3× 112 4.7k
Zhijian Huang China 36 161 0.1× 264 0.3× 456 0.7× 1.2k 2.3× 96 0.2× 66 3.3k
Yuka Nakamura Japan 20 562 0.5× 96 0.1× 38 0.1× 288 0.6× 284 0.6× 64 1.8k
Antony D. Gee United Kingdom 45 245 0.2× 90 0.1× 221 0.3× 1.7k 3.3× 184 0.4× 215 7.1k
Frank Baumann Germany 34 983 0.9× 53 0.1× 116 0.2× 2.2k 4.3× 149 0.3× 98 4.8k
Gunnar Brinkmalm Sweden 39 667 0.6× 58 0.1× 670 1.0× 2.2k 4.3× 119 0.3× 134 5.4k
Takeshi Nakamura Japan 49 245 0.2× 77 0.1× 138 0.2× 4.3k 8.4× 335 0.7× 185 7.8k

Countries citing papers authored by Charles E. Hudson

Since Specialization
Citations

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

Fields of papers citing papers by Charles E. Hudson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles E. Hudson. 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 Charles E. Hudson. The network helps show where Charles E. Hudson may publish in the future.

Co-authorship network of co-authors of Charles E. Hudson

This figure shows the co-authorship network connecting the top 25 collaborators of Charles E. Hudson. A scholar is included among the top collaborators of Charles E. Hudson 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 Charles E. Hudson. Charles E. Hudson 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.
Patel, Rekha, Charles E. Hudson, Lauren D. Moss, et al.. (2023). Small molecule targeting long noncoding RNA GAS5 administered intranasally improves neuronal insulin signaling and decreases neuroinflammation in an aged mouse model. Scientific Reports. 13(1). 317–317. 21 indexed citations
2.
Hudson, Charles E., et al.. (2021). Polyphenol Supplementation Reverses Age-Related Changes in Microglial Signaling Cascades. International Journal of Molecular Sciences. 22(12). 6373–6373. 3 indexed citations
4.
Grimmig, Bethany, Charles E. Hudson, Lauren D. Moss, et al.. (2019). Astaxanthin supplementation modulates cognitive function and synaptic plasticity in young and aged mice. GeroScience. 41(1). 77–87. 23 indexed citations
5.
Patel, Niketa, Lauren D. Moss, Jea-Young Lee, et al.. (2018). Long noncoding RNA MALAT1 in exosomes drives regenerative function and modulates inflammation-linked networks following traumatic brain injury. Journal of Neuroinflammation. 15(1). 204–204. 148 indexed citations
6.
Lee, Jea-Young, Sandra Acosta, Charles E. Hudson, et al.. (2015). NT-020 treatment reduces inflammation and augments Nrf-2 and Wnt signaling in aged rats. Journal of Neuroinflammation. 12(1). 174–174. 23 indexed citations
7.
Nash, Kevin, et al.. (2014). Fractalkine Over Expression Suppresses α-Synuclein-mediated Neurodegeneration. Molecular Therapy. 23(1). 17–23. 75 indexed citations
8.
Wecker, Lynn, R.M. Philpot, Chang Won Kang, et al.. (2013). Neuronal nicotinic receptor agonists improve gait and balance in olivocerebellar ataxia. Neuropharmacology. 73. 75–86. 31 indexed citations
9.
Pabon, Mibel, Jennifer N. Jernberg, Josh M. Morganti, et al.. (2012). A Spirulina-Enhanced Diet Provides Neuroprotection in an α-Synuclein Model of Parkinson's Disease. PLoS ONE. 7(9). e45256–e45256. 72 indexed citations
10.
Rogers, Justin, Josh M. Morganti, Adam D. Bachstetter, et al.. (2011). CX3CR1 Deficiency Leads to Impairment of Hippocampal Cognitive Function and Synaptic Plasticity. Journal of Neuroscience. 31(45). 16241–16250. 499 indexed citations
11.
Pabon, Mibel, Adam D. Bachstetter, Charles E. Hudson, Carmelina Gemma, & Paula C. Bickford. (2011). CX3CL1 reduces neurotoxicity and microglial activation in a rat model of Parkinson's disease. Journal of Neuroinflammation. 8(1). 9–9. 191 indexed citations
12.
Hudson, Charles E., P. H. Norrington, C A Ramsbottom, & M. P. Scott. (2011). Dirac R-matrix collision strengths and effective collision strengths for transitions of Ni xvii. Astronomy and Astrophysics. 537. A12–A12. 2 indexed citations
13.
Bachstetter, Adam D., Jennifer N. Jernberg, Jennifer Vila, et al.. (2010). Spirulina Promotes Stem Cell Genesis and Protects against LPS Induced Declines in Neural Stem Cell Proliferation. PLoS ONE. 5(5). e10496–e10496. 54 indexed citations
14.
Bachstetter, Adam D., Josh M. Morganti, Jennifer N. Jernberg, et al.. (2009). Fractalkine and CX3CR1 regulate hippocampal neurogenesis in adult and aged rats. Neurobiology of Aging. 32(11). 2030–2044. 292 indexed citations
15.
Bachstetter, Adam D., Mibel Pabon, Michael J Cole, et al.. (2008). Peripheral injection of human umbilical cord blood stimulates neurogenesis in the aged rat brain. BMC Neuroscience. 9(1). 22–22. 75 indexed citations
16.
Hudson, Charles E. & K L Bell. (2006). Fine structure effective collision strengths for the electron impact excitation of S V. Astronomy and Astrophysics. 452(3). 1113–1120. 7 indexed citations
17.
Gemma, Carmelina, et al.. (2005). Improvement of memory for context by inhibition of caspase‐1 in aged rats. European Journal of Neuroscience. 22(7). 1751–1756. 64 indexed citations
20.
McAdoo, David J. & Charles E. Hudson. (1984). Non-ergodic dissociation of the acetone/enol ion. International Journal of Mass Spectrometry and Ion Processes. 59(1). 77–83. 15 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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