Lynn Model
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
Papers in
- Surgery 7
- Coronary Interventions and Diagnostics 2
- Congenital Anomalies and Fetal Surgery 2
- Adrenal and Paraganglionic Tumors 1
-
- Angiogenesis and VEGF in Cancer 3
- Co-authors
- Alan Dardik (7 shared papers)Tarun M. Kapoor (1 shared paper)Mary E. Hatten (1 shared paper)David J. Solecki (1 shared paper)Jedidiah Gaetz (1 shared paper)Kenneth R. Ziegler (5 shared papers)Sammy D.D. Eghbalieh (4 shared papers)Akihito Muto (5 shared papers)
- Journals
- Journal of Surgical Research (2 papers)Circulation Journal (1 paper)Vascular (1 paper)Annals of Vascular Surgery (1 paper)The Journals of Gerontology Series A (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Lynn Model
13 papers receiving 593 citations
Peers
Comparison fields: 5 of 68
- Developmental Neuroscience 95
- Cell Biology 142
- Cellular and Molecular Neuroscience 119
- Biomaterials 73
- Aging 9
Countries citing papers authored by Lynn Model
This map shows the geographic impact of Lynn Model'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 Lynn Model with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynn Model more than expected).
Fields of papers citing papers by Lynn Model
This network shows the impact of papers produced by Lynn Model. 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 Lynn Model. The network helps show where Lynn Model may publish in the future.
Co-authors
The 25 scholars most cited alongside Lynn Model, 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 | 2004 | 236 | |
| 2 | 2011 | 140 | |
| 3 | 2010 | 115 | |
| 4 | 2013 | 28 | |
| 5 | Arterial shear stress reduces eph-b4 expression in adult human veins. | 2014 | 21 |
| 6 | 2011 | 18 | |
| 7 | 2012 | 18 | |
| 8 | 2011 | 14 | |
| 9 | 2021 | 9 | |
| 10 | 2022 | 4 | |
| 11 | 2016 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 2024 | 0 |
About Lynn Model
Lynn Model is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience and Cell Biology, having authored 14 papers that have together received 608 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (3 papers), Coronary Interventions and Diagnostics (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Congenital Anomalies and Fetal Surgery (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Adrenal and Paraganglionic Tumors (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Electrospun Nanofibers in Biomedical Applications (1 paper). The work is most often cited by research in Developmental Neuroscience (95 citations), Cell Biology (142 citations), Cellular and Molecular Neuroscience (119 citations), Biomaterials (73 citations) and Aging (9 citations). Lynn Model has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Alan Dardik, Tarun M. Kapoor, Mary E. Hatten, David J. Solecki, Jedidiah Gaetz, Kenneth R. Ziegler, Sammy D.D. Eghbalieh, Akihito Muto, Chang Shu and Robert A. Brenes. Their work appears in journals such as Journal of Surgical Research, Circulation Journal, Vascular, Annals of Vascular Surgery and The Journals of Gerontology Series A.
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.