David J. McAdoo

7.4k total citations
199 papers, 6.2k citations indexed

About

David J. McAdoo is a scholar working on Atomic and Molecular Physics, and Optics, Spectroscopy and Cellular and Molecular Neuroscience. According to data from OpenAlex, David J. McAdoo has authored 199 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Atomic and Molecular Physics, and Optics, 76 papers in Spectroscopy and 39 papers in Cellular and Molecular Neuroscience. Recurrent topics in David J. McAdoo's work include Advanced Chemical Physics Studies (76 papers), Mass Spectrometry Techniques and Applications (58 papers) and Spinal Cord Injury Research (28 papers). David J. McAdoo is often cited by papers focused on Advanced Chemical Physics Studies (76 papers), Mass Spectrometry Techniques and Applications (58 papers) and Spinal Cord Injury Research (28 papers). David J. McAdoo collaborates with scholars based in United States, Australia and Spain. David J. McAdoo's co-authors include Charles E. Hudson, Danxia Liu, Claire E. Hulsebosch, Guoying Xu, Linda S. Sorkin, William D. Willis, Michael G. Hughes, Fred W. McLafferty, John C. Traeger and Karin N. Westlund and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Accounts of Chemical Research.

In The Last Decade

David J. McAdoo

198 papers receiving 6.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David J. McAdoo 1.8k 1.5k 1.4k 1.3k 1.3k 199 6.2k
David J. Singel 1.2k 0.7× 487 0.3× 6.7k 4.8× 576 0.4× 1.2k 0.9× 93 13.2k
G. K. Radda 1.0k 0.6× 362 0.2× 1.8k 1.3× 431 0.3× 1.2k 0.9× 203 11.1k
Maria Erecińska 4.2k 2.3× 421 0.3× 2.3k 1.7× 412 0.3× 535 0.4× 222 13.3k
Roderic G. Eckenhoff 1.7k 1.0× 234 0.2× 539 0.4× 247 0.2× 640 0.5× 219 7.7k
Alan Davison 2.4k 1.3× 573 0.4× 2.6k 1.9× 162 0.1× 298 0.2× 359 14.7k
Asher Mandelbaum 2.1k 1.2× 458 0.3× 406 0.3× 245 0.2× 842 0.6× 115 6.0k
W.R. Lieb 3.0k 1.7× 141 0.1× 709 0.5× 435 0.3× 719 0.5× 86 7.4k
Alessandro Finazzi‐Agrò 2.2k 1.2× 516 0.4× 1.1k 0.8× 89 0.1× 325 0.2× 199 10.0k
Harold K. Kimelberg 5.8k 3.2× 279 0.2× 1.6k 1.2× 195 0.1× 481 0.4× 184 12.3k
Toshiro Inubushi 567 0.3× 204 0.1× 713 0.5× 325 0.2× 471 0.4× 197 6.0k

Countries citing papers authored by David J. McAdoo

Since Specialization
Citations

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

Fields of papers citing papers by David J. McAdoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. McAdoo

This figure shows the co-authorship network connecting the top 25 collaborators of David J. McAdoo. A scholar is included among the top collaborators of David J. McAdoo 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 David J. McAdoo. David J. McAdoo 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.
Crown, Eric D., Young Seob Gwak, Zaiming Ye, et al.. (2012). Calcium/calmodulin dependent kinase II contributes to persistent central neuropathic pain following spinal cord injury. Pain. 153(3). 710–721. 51 indexed citations
2.
Ye, Yumei, Yu Lin, Michael G. Hughes, et al.. (2008). Caffeinated Coffee Blunts the Myocardial Protective Effects of Statins against Ischemia–Reperfusion Injury in the Rat. Cardiovascular Drugs and Therapy. 22(4). 275–282. 24 indexed citations
3.
McAdoo, David J. & Ping Wu. (2008). Microdialysis in central nervous system disorders and their treatment. Pharmacology Biochemistry and Behavior. 90(2). 282–296. 19 indexed citations
4.
5.
Yan, Jing, et al.. (2005). Substance P contributes to spinal cord central sensitization induced by capsaicin. Journal of Pain. 6(3). S9–S9. 1 indexed citations
6.
Hughes, Michael G., et al.. (2005). Administration of glutamate into the spinal cord at extracellular concentrations reached post-injury causes functional impairments. Neuroscience Letters. 384(3). 271–276. 25 indexed citations
7.
8.
Cittelly, Diana M., Gongming Xu, Geda Unabia, et al.. (2005). Exogenous Bcl‐xl fusion protein spares neurons after spinal cord injury. Journal of Neuroscience Research. 79(5). 628–637. 65 indexed citations
9.
Vera–Portocarrero, Louis P., Charles D. Mills, Zaiming Ye, et al.. (2002). Rapid changes in expression of glutamate transporters after spinal cord injury. Brain Research. 927(1). 104–110. 68 indexed citations
10.
McAdoo, David J.. (2000). Contributions of C3H6O+� ions with the oxygen on the middle carbon to gas phase ion chemistry. Mass Spectrometry Reviews. 19(1). 38–61. 22 indexed citations
11.
Liu, Danxia & David J. McAdoo. (1993). Methylprednisolone reduces excitatory amino acid release following experimental spinal cord injury. Brain Research. 609(1-2). 293–297. 58 indexed citations
12.
Liu, Danxia, Wipawan Thangnipon, & David J. McAdoo. (1991). Excitatory amino acids rise to toxic levels upon impact injury to the rat spinal cord. Brain Research. 547(2). 344–348. 248 indexed citations
13.
Liu, Danxia, et al.. (1990). Norepinephrine and Serotonin Release upon Impact Injury to Rat Spinal Cord. Journal of Neurotrauma. 7(4). 219–227. 42 indexed citations
14.
Nagle, Gregg T., et al.. (1989). II. Aplysia brasiliana neurons R3–R14: Primary structure of the myoactive histidine-rich basic peptide and its prohormone. Peptides. 10(4). 859–867. 5 indexed citations
15.
Ichinose, Mitsuyuki, Masashi Sawada, Takashi Maéno, & David J. McAdoo. (1989). Effect of acetylcholine on ventrocaudal sensory neurons in the pleural ganglia ofAplysia. Cellular and Molecular Neurobiology. 9(2). 233–245. 4 indexed citations
16.
Ichinose, Mitsuyuki & David J. McAdoo. (1989). The cyclic GMP‐induced inward current in neuron R14 of Aplysia californica: Similarity to a FMRFamide‐induced inward current. Journal of Neurobiology. 20(1). 10–24. 16 indexed citations
17.
Hughes, Michael G., et al.. (1989). Amino acid uptake and incorporation into cell-specific peptides and evidence for intracellular peptide pools in Aplysia neurons R3–R14. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 92(1). 143–150. 5 indexed citations
18.
Sorkin, Linda S., Judith L. Steinman, Michael G. Hughes, William D. Willis, & David J. McAdoo. (1988). Microdialysis recovery of serotonin released in spinal cord dorsal horn. Journal of Neuroscience Methods. 23(2). 131–138. 75 indexed citations
19.
Zwinselman, J. J., N. M. M. Nibbering, Charles E. Hudson, & David J. McAdoo. (1983). A field ionization kinetic study of the methyl and ethylene elimination from ionised n-butanoic acid. International Journal of Mass Spectrometry and Ion Physics. 47. 129–132. 15 indexed citations
20.
McAdoo, David J. & Charles E. Hudson. (1981). The formation of [CH3CH2C(OH)CH2]+˙ from 1‐hepten‐3‐ol. Organic Mass Spectrometry. 16(7). 294–296. 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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