Daniel S. Spellman
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Developmental Neuroscience top 10%
Papers in
-
- Protein purification and stability 8
- Metabolomics and Mass Spectrometry Studies 6
- Spectroscopy 11
- Advanced Proteomics Techniques and Applications 10
- Mass Spectrometry Techniques and Applications 8
- Co-authors
- Thomas A. Neubert (7 shared papers)Moses V. Chao (2 shared papers)Katrin Deinhardt (2 shared papers)Guoan Zhang (2 shared papers)Costel C. Darie (1 shared paper)John D. Lambris (2 shared papers)Richard E. Mains (1 shared paper)Taeho Kim (1 shared paper)
- Journals
- Journal of the American Society for Mass Spectrometry (4 papers)Bioanalysis (3 papers)Alzheimer s & Dementia (2 papers)Molecular & Cellular Proteomics (2 papers)Advances in experimental medicine and biology (2 papers)
- Partner nations
- United StatesJapanBelgium
In The Last Decade
Daniel S. Spellman
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 105
- Spectroscopy 310
- Developmental Neuroscience 63
- Cellular and Molecular Neuroscience 204
- Molecular Biology 693
- Physiology 205
Countries citing papers authored by Daniel S. Spellman
This map shows the geographic impact of Daniel S. Spellman'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 S. Spellman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Spellman more than expected).
Fields of papers citing papers by Daniel S. Spellman
This network shows the impact of papers produced by Daniel S. Spellman. 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 S. Spellman. The network helps show where Daniel S. Spellman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Spellman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 139 | |
| 2 | 2020 | 111 | |
| 3 | 2015 | 106 | |
| 4 | 2008 | 99 | |
| 5 | 2004 | 81 | |
| 6 | 2019 | 77 | |
| 7 | 2010 | 74 | |
| 8 | 2006 | 65 | |
| 9 | 2014 | 59 | |
| 10 | 2017 | 57 | |
| 11 | 2021 | 55 | |
| 12 | 2007 | 43 | |
| 13 | 2014 | 43 | |
| 14 | 2007 | 31 | |
| 15 | 2014 | 26 | |
| 16 | 2019 | 24 | |
| 17 | 2005 | 21 | |
| 18 | 2022 | 16 | |
| 19 | 2023 | 16 | |
| 20 | 2017 | 16 |
About Daniel S. Spellman
Daniel S. Spellman is a scholar working on Molecular Biology, Spectroscopy, Radiology, Nuclear Medicine and Imaging, Physiology and Immunology, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Protein purification and stability (8 papers), Mass Spectrometry Techniques and Applications (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Alzheimer's disease research and treatments (4 papers), Biosimilars and Bioanalytical Methods (4 papers) and Axon Guidance and Neuronal Signaling (3 papers). The work is most often cited by research in Spectroscopy (310 citations), Developmental Neuroscience (63 citations), Cellular and Molecular Neuroscience (204 citations), Molecular Biology (693 citations) and Physiology (205 citations). Daniel S. Spellman has collaborated with scholars based in United States, Japan and Belgium. Frequent co-authors include Thomas A. Neubert, Moses V. Chao, Katrin Deinhardt, Guoan Zhang, Costel C. Darie, John D. Lambris, Richard E. Mains, Taeho Kim, Kevin P. Bateman and Barbara L. Hempstead. Their work appears in journals such as Journal of the American Society for Mass Spectrometry, Bioanalysis, Alzheimer s & Dementia, Molecular & Cellular Proteomics and Advances in experimental medicine and biology.
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.