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
-
- Ubiquitin and proteasome pathways 1
- DNA Repair Mechanisms 1
- Mitochondrial Function and Pathology 1
- Fungal and yeast genetics research 1
- Oncology 4
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Hui Zheng (2 shared papers)Heidi Martini‐Stoica (2 shared papers)Virginia M.‐Y. Lee (2 shared papers)Marco Sardiello (2 shared papers)Wayne M. Patrick (1 shared paper)Ichiro Matsumura (1 shared paper)Erik M. Quandt (1 shared paper)Alberto di Ronza (1 shared paper)
- Journals
- Nature Communications (1 paper)Clinical Cancer Research (1 paper)Molecular Biology and Evolution (1 paper)Progress in molecular biology and translational science (1 paper)DNA repair (1 paper)
- Partner nations
- United StatesItalyRomania
In The Last Decade
Daniel B. Swartzlander
11 papers receiving 666 citations
Peers
Comparison fields: 5 of 70
- Neurology 107
- Physiology 50
- Physiology 257
- Epidemiology 222
- Biological Psychiatry 13
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 | 290 | |
| 2 | 2018 | 170 | |
| 3 | 2007 | 138 | |
| 4 | 2020 | 20 | |
| 5 | 2022 | 19 | |
| 6 | 2005 | 13 | |
| 7 | 2016 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2012 | 5 | |
| 10 | 2025 | 4 | |
| 11 | 2020 | 2 |
About Daniel B. Swartzlander
Daniel B. Swartzlander is a scholar working on Molecular Biology, Oncology, Epidemiology, Cell Biology and Physiology, having authored 11 papers that have together received 674 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (3 papers), Alzheimer's disease research and treatments (2 papers), Cancer Genomics and Diagnostics (2 papers), Ubiquitin and proteasome pathways (1 paper), DNA Repair Mechanisms (1 paper), Mitochondrial Function and Pathology (1 paper), Fungal and yeast genetics research (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). The work is most often cited by research in Neurology (107 citations), Physiology (50 citations), Physiology (257 citations), Epidemiology (222 citations) and Biological Psychiatry (13 citations). Daniel B. Swartzlander has collaborated with scholars based in United States, Italy and Romania. Frequent co-authors include Hui Zheng, Heidi Martini‐Stoica, Virginia M.‐Y. Lee, Marco Sardiello, Wayne M. Patrick, Ichiro Matsumura, Erik M. Quandt, Alberto di Ronza, Yin Xu and Yang Li. Their work appears in journals such as Nature Communications, Clinical Cancer Research, Molecular Biology and Evolution, Progress in molecular biology and translational science 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.