Daniel Lightwood
Impact in
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- T-cell and B-cell Immunology
- Immune cells in cancer
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- Monoclonal and Polyclonal Antibodies Research
Papers in ⓘ
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- Monoclonal and Polyclonal Antibodies Research 12
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- Cell Adhesion Molecules Research 2
- Co-authors
- Alastair D. G. Lawson (7 shared papers)David J. Ellar (1 shared paper)P. Jarrett (1 shared paper)Dale Starkie (6 shared papers)Diane Marshall (2 shared papers)Joanne Compson (2 shared papers)Stephen Rapecki (2 shared papers)James A. Cameron (1 shared paper)
- Journals
- Nature Communications (2 papers)iScience (1 paper)SLAS DISCOVERY (1 paper)RSC Advances (1 paper)Acta Neuropathologica (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Daniel Lightwood
21 papers receiving 537 citations
Peers
Comparison fields: 5 of 92
- Immunology 141
- Radiology, Nuclear Medicine and Imaging 138
- Insect Science 71
- Molecular Biology 313
- Immunology and Allergy 19
Countries citing papers authored by Daniel Lightwood
This map shows the geographic impact of Daniel Lightwood'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 Lightwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lightwood more than expected).
Fields of papers citing papers by Daniel Lightwood
This network shows the impact of papers produced by Daniel Lightwood. 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 Lightwood. The network helps show where Daniel Lightwood may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Lightwood, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 76 | |
| 2 | 2015 | 73 | |
| 3 | 2006 | 45 | |
| 4 | 2016 | 45 | |
| 5 | 2005 | 40 | |
| 6 | 2013 | 38 | |
| 7 | 2020 | 35 | |
| 8 | 2012 | 30 | |
| 9 | 2019 | 28 | |
| 10 | 2018 | 24 | |
| 11 | 2021 | 22 | |
| 12 | 2006 | 19 | |
| 13 | 2009 | 18 | |
| 14 | 2018 | 16 | |
| 15 | 2022 | 13 | |
| 16 | 2022 | 11 | |
| 17 | 2014 | 10 | |
| 18 | 2023 | 5 | |
| 19 | 2017 | 3 | |
| 20 | 2007 | 2 |
About Daniel Lightwood
Daniel Lightwood is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Allergy, Immunology, Physiology and Molecular Biology, having authored 21 papers that have together received 555 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), T-cell and B-cell Immunology (6 papers), Asthma and respiratory diseases (3 papers), Immune Cell Function and Interaction (3 papers), Protein purification and stability (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Cell Adhesion Molecules Research (2 papers) and Inhalation and Respiratory Drug Delivery (2 papers). The work is most often cited by research in Immunology (141 citations), Radiology, Nuclear Medicine and Imaging (138 citations), Insect Science (71 citations), Molecular Biology (313 citations) and Immunology and Allergy (19 citations). Daniel Lightwood has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Alastair D. G. Lawson, David J. Ellar, P. Jarrett, Dale Starkie, Diane Marshall, Joanne Compson, Stephen Rapecki, James A. Cameron, Meryn Griffiths and Ralph Adams. Their work appears in journals such as Nature Communications, iScience, SLAS DISCOVERY, RSC Advances and Acta Neuropathologica.
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.