Daniel Swan
- Genetics top 2%
- Hematology top 2%
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms 7
- Glycosylation and Glycoproteins Research 4
- Genomics and Phylogenetic Studies 4
- Immunology top 5%
- Genetics top 2%
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- Monoclonal and Polyclonal Antibodies Research 5
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- Trace Elements in Health 4
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- Chromosomal and Genetic Variations 4
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- Cancer-related molecular mechanisms research 4
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- Scientific Computing and Data Management 4
- Co-authors
- Philip LederStuart A. AaronsonSteven R. TronickIlan R. KirschCynthia C. MortonRebecca TaubGilbert LenoirO. Wesley McBride
- Cited by
- GeneticsHematologyMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (9 papers)Journal of Biological Chemistry (4 papers)Cold Spring Harbor Symposia on Quantitative Biology (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Daniel Swan
65 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Genetics 450
- Hematology 424
- Molecular Biology 2.6k
- Immunology 748
- Genetics 834
Countries citing papers authored by Daniel Swan
This map shows the geographic impact of Daniel Swan'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 Swan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Swan more than expected).
Fields of papers citing papers by Daniel Swan
This network shows the impact of papers produced by Daniel Swan. 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 Swan. The network helps show where Daniel Swan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Swan, 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 | 2024 | 0 | |
| 2 | 2017 | 14 | |
| 3 | 2013 | 28 | |
| 4 | 2012 | 76 | |
| 5 | 2012 | 184 | |
| 6 | 2012 | 28 | |
| 7 | 2012 | 116 | |
| 8 | 2012 | 63 | |
| 9 | 2012 | 4 | |
| 10 | 2012 | 84 | |
| 11 | 2011 | 66 | |
| 12 | 2010 | 22 | |
| 13 | 2009 | 81 | |
| 14 | 2009 | 32 | |
| 15 | 2008 | 17 | |
| 16 | 2008 | 7 | |
| 17 | 2006 | 154 | |
| 18 | 2004 | 13 | |
| 19 | 2002 | 47 | |
| 20 | 2002 | 282 |
About Daniel Swan
Daniel Swan is a scholar working on Aging, Molecular Biology, Information Systems and Management, Genetics and Geriatrics and Gerontology, having authored 66 papers that have together received 4.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Trace Elements in Health (4 papers), Chromosomal and Genetic Variations (4 papers), Glycosylation and Glycoproteins Research (4 papers), Genomics and Phylogenetic Studies (4 papers), Cancer-related molecular mechanisms research (4 papers) and Scientific Computing and Data Management (4 papers). The work is most often cited by research in Genetics (450 citations), Hematology (424 citations), Molecular Biology (2.6k citations), Immunology (748 citations) and Genetics (834 citations). Daniel Swan has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Philip Leder, Stuart A. Aaronson, Steven R. Tronick, Ilan R. Kirsch, Cynthia C. Morton, Rebecca Taub, Gilbert Lenoir, O. Wesley McBride, Haim Aviv and Andreas Werner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Cold Spring Harbor Symposia on Quantitative Biology, Osteoarthritis and Cartilage and PLoS ONE.
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.