Steven Lynham
Impact in
- Virology top 5%
- HIV Research and Treatment
- Physiology top 5%
- Alzheimer's disease research and treatments
Papers in
-
- Ubiquitin and proteasome pathways 4
- 14-3-3 protein interactions 2
- Physiology 13
- Alzheimer's disease research and treatments 9
- Co-authors
- Malcolm Ward (12 shared papers)Helen L. Byers (3 shared papers)Abdul Hye (9 shared papers)Simon Lovestone (8 shared papers)Michael H. Malim (4 shared papers)Beatrice Kramer (1 shared paper)Chad M. Swanson (1 shared paper)Sarah Gallois‐Montbrun (1 shared paper)
- Journals
- Journal of Alzheimer s Disease (3 papers)Nature Microbiology (2 papers)Journal of Cell Science (2 papers)Alzheimer s & Dementia (2 papers)Circulation Research (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Steven Lynham
48 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 107
- Virology 105
- Physiology 388
- Biological Psychiatry 31
- Neurology 89
- Molecular Biology 703
Countries citing papers authored by Steven Lynham
This map shows the geographic impact of Steven Lynham'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 Steven Lynham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Lynham more than expected).
Fields of papers citing papers by Steven Lynham
This network shows the impact of papers produced by Steven Lynham. 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 Steven Lynham. The network helps show where Steven Lynham may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven Lynham, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 355 | |
| 2 | 2006 | 231 | |
| 3 | 2012 | 83 | |
| 4 | 2012 | 78 | |
| 5 | 2019 | 65 | |
| 6 | 2016 | 57 | |
| 7 | 2016 | 56 | |
| 8 | 2013 | 54 | |
| 9 | 2011 | 53 | |
| 10 | 2024 | 52 | |
| 11 | 2007 | 39 | |
| 12 | 2016 | 29 | |
| 13 | 2017 | 24 | |
| 14 | 2010 | 24 | |
| 15 | 2021 | 18 | |
| 16 | 2018 | 17 | |
| 17 | 2008 | 17 | |
| 18 | 2019 | 17 | |
| 19 | 2023 | 16 | |
| 20 | 2021 | 16 |
About Steven Lynham
Steven Lynham is a scholar working on Molecular Biology, Physiology, Cell Biology, Immunology and Infectious Diseases, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Ubiquitin and proteasome pathways (4 papers), Nerve injury and regeneration (3 papers), Inhalation and Respiratory Drug Delivery (2 papers), Microtubule and mitosis dynamics (2 papers), 14-3-3 protein interactions (2 papers), Force Microscopy Techniques and Applications (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Virology (105 citations), Physiology (388 citations), Biological Psychiatry (31 citations), Neurology (89 citations) and Molecular Biology (703 citations). Steven Lynham has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Malcolm Ward, Helen L. Byers, Abdul Hye, Simon Lovestone, Michael H. Malim, Beatrice Kramer, Chad M. Swanson, Sarah Gallois‐Montbrun, Madhav Thambisetty and Claudie Hooper. Their work appears in journals such as Journal of Alzheimer s Disease, Nature Microbiology, Journal of Cell Science, Alzheimer s & Dementia and Circulation 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.