Daniel T. Ladror
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Spectroscopy top 10%
- Advanced NMR Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
Papers in
-
- Advanced Proteomics Techniques and Applications 3
- Mass Spectrometry Techniques and Applications 3
- Advanced NMR Techniques and Applications 2
- Co-authors
- Chad M. Rienstra (5 shared papers)Kathryn D. Kloepper (3 shared papers)Wendy S. Woods (4 shared papers)Julia M. George (4 shared papers)Kevin Hartman (4 shared papers)Lloyd M. Smith (4 shared papers)Andrew Lipton (1 shared paper)Gemma Comellas (1 shared paper)
- Journals
- Journal of Exposure Science & Environmental Epidemiology (2 papers)Biomarkers (1 paper)Journal of the American Society for Mass Spectrometry (1 paper)Analytical Chemistry (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel T. Ladror
14 papers receiving 396 citations
Peers
Comparison fields: 5 of 73
- Neurology 141
- Spectroscopy 102
- Physiology 133
- Cellular and Molecular Neuroscience 56
- Molecular Biology 167
Countries citing papers authored by Daniel T. Ladror
This map shows the geographic impact of Daniel T. Ladror'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 T. Ladror with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Ladror more than expected).
Fields of papers citing papers by Daniel T. Ladror
This network shows the impact of papers produced by Daniel T. Ladror. 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 T. Ladror. The network helps show where Daniel T. Ladror may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel T. Ladror, 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 | 2011 | 132 | |
| 2 | 2007 | 68 | |
| 3 | 2007 | 38 | |
| 4 | 2013 | 38 | |
| 5 | 2022 | 26 | |
| 6 | 2014 | 21 | |
| 7 | 2013 | 20 | |
| 8 | 2011 | 16 | |
| 9 | 2008 | 15 | |
| 10 | 2017 | 11 | |
| 11 | 2007 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 1 |
About Daniel T. Ladror
Daniel T. Ladror is a scholar working on Molecular Biology, Spectroscopy, Oncology, Immunology and Neurology, having authored 14 papers that have together received 401 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Advanced NMR Techniques and Applications (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Cellular transport and secretion (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Neurology (141 citations), Spectroscopy (102 citations), Physiology (133 citations), Cellular and Molecular Neuroscience (56 citations) and Molecular Biology (167 citations). Daniel T. Ladror has collaborated with scholars based in United States. Frequent co-authors include Chad M. Rienstra, Kathryn D. Kloepper, Wendy S. Woods, Julia M. George, Kevin Hartman, Lloyd M. Smith, Andrew Lipton, Gemma Comellas, Luisel Lemkau and Andrew J. Nieuwkoop. Their work appears in journals such as Journal of Exposure Science & Environmental Epidemiology, Biomarkers, Journal of the American Society for Mass Spectrometry, Analytical Chemistry and Journal of Biological Chemistry.
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.