John D. Lee
Impact in
- Neurology top 1%
- Amyotrophic Lateral Sclerosis Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 5%
Papers in
- Neurology 31
- Amyotrophic Lateral Sclerosis Research 25
- Neuroinflammation and Neurodegeneration Mechanisms 15
- Immunology 26
- Complement system in diseases 25
- Co-authors
- Trent M. Woodruff (53 shared papers)Junyan Han (1 shared paper)Richard J. Ulevitch (1 shared paper)Peter G. Noakes (10 shared papers)Xaria X. Li (13 shared papers)Vinod Kumar (8 shared papers)Liam G. Coulthard (5 shared papers)Jenny N. Fung (14 shared papers)
- Journals
- Immunobiology (7 papers)Journal of Neuroinflammation (5 papers)The FASEB Journal (4 papers)The Journal of Immunology (3 papers)Molecular Neurobiology (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
John D. Lee
60 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 106
- Neurology 531
- Neurology 577
- Biological Psychiatry 78
- Immunology 619
- Genetics 278
Countries citing papers authored by John D. Lee
This map shows the geographic impact of John D. Lee'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 John D. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Lee more than expected).
Fields of papers citing papers by John D. Lee
This network shows the impact of papers produced by John D. Lee. 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 John D. Lee. The network helps show where John D. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside John D. Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 298 | |
| 2 | 2019 | 160 | |
| 3 | 2019 | 121 | |
| 4 | 2019 | 89 | |
| 5 | 2016 | 86 | |
| 6 | 2017 | 85 | |
| 7 | 2013 | 78 | |
| 8 | 2015 | 75 | |
| 9 | 2016 | 64 | |
| 10 | 2021 | 63 | |
| 11 | 2020 | 62 | |
| 12 | 2020 | 62 | |
| 13 | 2018 | 61 | |
| 14 | 2017 | 58 | |
| 15 | 2018 | 57 | |
| 16 | 2020 | 51 | |
| 17 | 2017 | 49 | |
| 18 | 2019 | 40 | |
| 19 | 2019 | 39 | |
| 20 | 2018 | 38 |
About John D. Lee
John D. Lee is a scholar working on Neurology, Immunology, Molecular Biology, Neurology and Genetics, having authored 67 papers that have together received 2.1k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (25 papers), Complement system in diseases (25 papers), Neuroinflammation and Neurodegeneration Mechanisms (15 papers), Neurogenetic and Muscular Disorders Research (11 papers), Receptor Mechanisms and Signaling (8 papers), Adenosine and Purinergic Signaling (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Neurology (531 citations), Neurology (577 citations), Biological Psychiatry (78 citations), Immunology (619 citations) and Genetics (278 citations). John D. Lee has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Trent M. Woodruff, Junyan Han, Richard J. Ulevitch, Peter G. Noakes, Xaria X. Li, Vinod Kumar, Liam G. Coulthard, Jenny N. Fung, Richard J. Clark and Marc J. Ruitenberg. Their work appears in journals such as Immunobiology, Journal of Neuroinflammation, The FASEB Journal, The Journal of Immunology and Molecular Neurobiology.
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.