Jordan Lam
Impact in
- Neurology top 10%
- Neurological disorders and treatments
-
- Mental Health Research Topics
Papers in
-
- Neurological disorders and treatments 6
- Intracranial Aneurysms: Treatment and Complications 2
- Transcranial Magnetic Stimulation Studies 2
- Surgery 5
- Co-authors
- T. J. Arnason (5 shared papers)Chi-Kit Wat (4 shared papers)Elizabeth Graham (3 shared papers)G.H.N. Towers (3 shared papers)T. Swain (1 shared paper)Darrin J. Lee (8 shared papers)Michael Moutoussis (2 shared papers)Gita Prabhu (2 shared papers)
- Journals
- World Neurosurgery (4 papers)Operative Neurosurgery (3 papers)Journal of Neural Engineering (2 papers)Neurosurgery (2 papers)Brain stimulation (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jordan Lam
33 papers receiving 641 citations
Peers
Comparison fields: 5 of 83
- Neurology 97
- Experimental and Cognitive Psychology 83
- Cognitive Neuroscience 112
- Insect Science 73
- General Decision Sciences 9
Countries citing papers authored by Jordan Lam
This map shows the geographic impact of Jordan Lam'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 Jordan Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan Lam more than expected).
Fields of papers citing papers by Jordan Lam
This network shows the impact of papers produced by Jordan Lam. 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 Jordan Lam. The network helps show where Jordan Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Jordan Lam, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 119 | |
| 2 | 1981 | 91 | |
| 3 | 1981 | 65 | |
| 4 | 1984 | 47 | |
| 5 | 1979 | 40 | |
| 6 | 2018 | 36 | |
| 7 | 2018 | 31 | |
| 8 | 1980 | 30 | |
| 9 | 2020 | 27 | |
| 10 | 2021 | 25 | |
| 11 | 1986 | 20 | |
| 12 | 2021 | 19 | |
| 13 | 2020 | 16 | |
| 14 | 2022 | 14 | |
| 15 | 2018 | 10 | |
| 16 | 2021 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2019 | 7 | |
| 20 | 1985 | 6 |
About Jordan Lam
Jordan Lam is a scholar working on Neurology, Surgery, Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Plant Science, having authored 38 papers that have together received 663 indexed citations. Recurring topics across this work include Neurological disorders and treatments (6 papers), Photodynamic Therapy Research Studies (3 papers), Insect Pest Control Strategies (3 papers), EEG and Brain-Computer Interfaces (3 papers), Essential Oils and Antimicrobial Activity (3 papers), Intracranial Aneurysms: Treatment and Complications (2 papers), Transcranial Magnetic Stimulation Studies (2 papers) and Allelopathy and phytotoxic interactions (2 papers). The work is most often cited by research in Neurology (97 citations), Experimental and Cognitive Psychology (83 citations), Cognitive Neuroscience (112 citations), Insect Science (73 citations) and General Decision Sciences (9 citations). Jordan Lam has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include T. J. Arnason, Chi-Kit Wat, Elizabeth Graham, G.H.N. Towers, T. Swain, Darrin J. Lee, Michael Moutoussis, Gita Prabhu, Robb B. Rutledge and Olga Therese Ousdal. Their work appears in journals such as World Neurosurgery, Operative Neurosurgery, Journal of Neural Engineering, Neurosurgery and Brain stimulation.
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.