Dan Swartzlander
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
-
- DNA Repair Mechanisms 2
- Biomedical Text Mining and Ontologies 1
- Biochemical and Molecular Research 1
- Mitochondrial Function and Pathology 1
- Genetics 3
- Genomics and Rare Diseases 2
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Hui Zheng (3 shared papers)Fading Chen (2 shared papers)Nicholas E. Propson (2 shared papers)Zhandong Liu (1 shared paper)Bin Zhang (1 shared paper)Qian Wang (1 shared paper)Ying-Wooi Wan (1 shared paper)Alexandra Litvinchuk (1 shared paper)
- Journals
- Nucleic Acids Research (1 paper)JCI Insight (1 paper)JAMA Network Open (1 paper)Molecular and Cellular Biology (1 paper)Neuron (1 paper)
- Partner nations
- United StatesJapanIndia
In The Last Decade
Dan Swartzlander
7 papers receiving 532 citations
Peers
Comparison fields: 5 of 59
- Neurology 259
- Biological Psychiatry 36
- Physiology 198
- Developmental Neuroscience 26
- Immunology 101
Countries citing papers authored by Dan Swartzlander
This map shows the geographic impact of Dan Swartzlander'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 Dan Swartzlander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Swartzlander more than expected).
Fields of papers citing papers by Dan Swartzlander
This network shows the impact of papers produced by Dan Swartzlander. 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 Dan Swartzlander. The network helps show where Dan Swartzlander may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Swartzlander, 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 | 2018 | 353 | |
| 2 | 2021 | 67 | |
| 3 | 2018 | 39 | |
| 4 | 2008 | 37 | |
| 5 | 2010 | 30 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 |
About Dan Swartzlander
Dan Swartzlander is a scholar working on Molecular Biology, Genetics, Neurology, Physiology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 533 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (2 papers), Alzheimer's disease research and treatments (2 papers), Genomics and Rare Diseases (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Biomedical Text Mining and Ontologies (1 paper), Biochemical and Molecular Research (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Neurology (259 citations), Biological Psychiatry (36 citations), Physiology (198 citations), Developmental Neuroscience (26 citations) and Immunology (101 citations). Dan Swartzlander has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Hui Zheng, Fading Chen, Nicholas E. Propson, Zhandong Liu, Bin Zhang, Qian Wang, Ying-Wooi Wan, Alexandra Litvinchuk, Allysa Cole and Baiping Wang. Their work appears in journals such as Nucleic Acids Research, JCI Insight, JAMA Network Open, Molecular and Cellular Biology and Neuron.
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.