Daniel B. Swartzlander
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Physiology top 5%
- Alzheimer's disease research and treatments
- Calcium signaling and nucleotide metabolism
- Lysosomal Storage Disorders Research
Papers in
-
- Single-cell and spatial transcriptomics 2
- Steroid Chemistry and Biochemistry 1
- Oncology 5
- Pancreatic and Hepatic Oncology Research 4
- Co-authors
- Marco Sardiello (2 shared papers)Heidi Martini‐Stoica (2 shared papers)Erik M. Quandt (1 shared paper)Ichiro Matsumura (1 shared paper)Virginia M.‐Y. Lee (2 shared papers)Hui Zheng (2 shared papers)Wayne M. Patrick (1 shared paper)Alberto di Ronza (1 shared paper)
- Journals
- Journal of Lipid Research (1 paper)Clinical Cancer Research (1 paper)Gastrointestinal Endoscopy (1 paper)Nature Communications (1 paper)DNA repair (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Daniel B. Swartzlander
11 papers receiving 648 citations
Peers
Comparison fields: 5 of 70
- Neurology 116
- Physiology 53
- Physiology 265
- Biological Psychiatry 17
- Epidemiology 229
Countries citing papers authored by Daniel B. Swartzlander
This map shows the geographic impact of Daniel B. 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 Daniel B. Swartzlander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel B. Swartzlander more than expected).
Fields of papers citing papers by Daniel B. Swartzlander
This network shows the impact of papers produced by Daniel B. 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 Daniel B. Swartzlander. The network helps show where Daniel B. Swartzlander may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel B. 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 | 2014 | 280 | |
| 2 | 2018 | 166 | |
| 3 | 2007 | 138 | |
| 4 | 2020 | 20 | |
| 5 | 2022 | 17 | |
| 6 | 2005 | 13 | |
| 7 | 2016 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2012 | 5 | |
| 10 | 2025 | 3 | |
| 11 | 2020 | 2 |
About Daniel B. Swartzlander
Daniel B. Swartzlander is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Cell Biology, having authored 11 papers that have together received 657 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Single-cell and spatial transcriptomics (2 papers), Alzheimer's disease research and treatments (2 papers), Steroid Chemistry and Biochemistry (1 paper), Cholesterol and Lipid Metabolism (1 paper), Cardiovascular Effects of Exercise (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Neurology (116 citations), Physiology (53 citations), Physiology (265 citations), Biological Psychiatry (17 citations) and Epidemiology (229 citations). Daniel B. Swartzlander has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Marco Sardiello, Heidi Martini‐Stoica, Erik M. Quandt, Ichiro Matsumura, Virginia M.‐Y. Lee, Hui Zheng, Wayne M. Patrick, Alberto di Ronza, Hongmei Li and Yin Xu. Their work appears in journals such as Journal of Lipid Research, Clinical Cancer Research, Gastrointestinal Endoscopy, Nature Communications and DNA repair.
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.