David J. McAdoo
- Cellular and Molecular Neuroscience top 1%
- Pathology and Forensic Medicine top 0.5%
- Physiology top 1%
- Atomic and Molecular Physics, and Optics top 2%
- Spectroscopy top 0.5%
- Co-authors
- Charles E. HudsonDanxia LiuClaire E. HulseboschGuoying XuLinda S. SorkinWilliam D. WillisMichael G. HughesFred W. McLafferty
- Topics
- Advanced Chemical Physics Studies (76 papers)Mass Spectrometry Techniques and Applications (58 papers)Spinal Cord Injury Research (28 papers)
- Cited by
- Cellular and Molecular NeuroscienceDevelopmental NeurosciencePathology and Forensic Medicine
- Journals
- Journal of the American Chemical SocietyThe Journal of Chemical PhysicsAccounts of Chemical Research
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
David J. McAdoo
198 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 133
- Cellular and Molecular Neuroscience 1.8k
- Pathology and Forensic Medicine 1.5k
- Physiology 1.4k
- Atomic and Molecular Physics, and Optics 1.3k
- Spectroscopy 1.3k
Countries citing papers authored by David J. McAdoo
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 70 | |
| 2 | 83 | |
| 3 | 127 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 138 | |
| 7 | 25 | |
| 8 | 43 | |
| 9 | 22 | |
| 10 | 35 | |
| 11 | 56 | |
| 12 | 17 | |
| 13 | 122 | |
| 14 | 46 | |
| 15 | 3 | |
| 16 | 32 | |
| 17 | 58 | |
| 18 | 52 | |
| 19 | 248 | |
| 20 | 42 |
About David J. McAdoo
David J. McAdoo is a scholar working on Spectroscopy, Physical and Theoretical Chemistry and Atomic and Molecular Physics, and Optics, having authored 199 papers that have together received 6.2k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (76 papers), Mass Spectrometry Techniques and Applications (58 papers) and Spinal Cord Injury Research (28 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Developmental Neuroscience (371 citations) and Pathology and Forensic Medicine (1.5k citations). David J. McAdoo has collaborated with scholars based in United States, Australia and Spain. Frequent 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. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Accounts of Chemical Research.
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.