James J. Lah
Impact in
- Neurology top 0.2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 0.5%
- Tryptophan and brain disorders
Papers in
- Physiology 105
- Alzheimer's disease research and treatments 99
- Neurology 33
- Neuroinflammation and Neurodegeneration Mechanisms 17
- Parkinson's Disease Mechanisms and Treatments 17
- Co-authors
- Allan I. LeveyDuc M. DuongNicholas T. SeyfriedMarla GearingEric B. DammerFelicia C. GoldsteinJunmin PengHoward D. Rees
- Journals
- Alzheimer s & Dementia (20 papers)Molecular Neurodegeneration (11 papers)Journal of Biological Chemistry (8 papers)Journal of Proteome Research (7 papers)Neurology (7 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
James J. Lah
195 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Neurology 1.7k
- Biological Psychiatry 487
- Physiology 4.5k
- Psychiatry and Mental health 1.2k
- Cellular and Molecular Neuroscience 1.3k
Countries citing papers authored by James J. Lah
This map shows the geographic impact of James J. Lah'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 James J. Lah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James J. Lah more than expected).
Fields of papers citing papers by James J. Lah
This network shows the impact of papers produced by James J. Lah. 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 James J. Lah. The network helps show where James J. Lah may publish in the future.
Co-authors
The 25 scholars most cited alongside James J. Lah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 19 | |
| 7 | 2024 | 13 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 21 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 24 | |
| 12 | 2021 | 37 | |
| 13 | 2021 | 98 | |
| 14 | 2021 | 7 | |
| 15 | 2020 | 100 | |
| 16 | 2020 | 4 | |
| 17 | 2020 | 38 | |
| 18 | 2019 | 18 | |
| 19 | 2019 | 128 | |
| 20 | 2011 | 99 |
About James J. Lah
James J. Lah is a scholar working on Physiology, Neurology, Psychiatry and Mental health, Biological Psychiatry and Neurology, having authored 204 papers that have together received 9.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (99 papers), Dementia and Cognitive Impairment Research (45 papers), Neuroinflammation and Neurodegeneration Mechanisms (17 papers), Parkinson's Disease Mechanisms and Treatments (17 papers), Advanced Proteomics Techniques and Applications (16 papers), Bioinformatics and Genomic Networks (16 papers), Metabolomics and Mass Spectrometry Studies (15 papers) and Cellular transport and secretion (12 papers). The work is most often cited by research in Neurology (1.7k citations), Biological Psychiatry (487 citations), Physiology (4.5k citations), Psychiatry and Mental health (1.2k citations) and Cellular and Molecular Neuroscience (1.3k citations). James J. Lah has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Allan I. Levey, Duc M. Duong, Nicholas T. Seyfried, Marla Gearing, Eric B. Dammer, Felicia C. Goldstein, Junmin Peng, Howard D. Rees, Madhav Thambisetty and Thomas S. Wingo. Their work appears in journals such as Alzheimer s & Dementia, Molecular Neurodegeneration, Journal of Biological Chemistry, Journal of Proteome Research and Neurology.
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.