Chris Burns
Impact in
- Human-Computer Interaction top 5%
Papers in
-
- Pluripotent Stem Cells Research 6
- Metabolism, Diabetes, and Cancer 5
- Protein purification and stability 5
- Immunology 13
- Biosimilars and Bioanalytical Methods 10
- Co-authors
- Frank Maurer (5 shared papers)Peter M. Jones (7 shared papers)Shanta J. Persaud (7 shared papers)Melanie Moore (12 shared papers)Debra Myhill (1 shared paper)Jonathan Sillito (1 shared paper)Meenu Wadhwa (8 shared papers)Scott W. Van Arsdell (1 shared paper)
- Journals
- Clinical Chemistry (8 papers)Journal of Pharmaceutical and Biomedical Analysis (4 papers)Reproductive BioMedicine Online (3 papers)Diabetes (3 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Chris Burns
69 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 163
- Human-Computer Interaction 99
- Computer Science Applications 94
- Statistics, Probability and Uncertainty 113
- Reproductive Medicine 119
- Endocrinology, Diabetes and Metabolism 208
Countries citing papers authored by Chris Burns
This map shows the geographic impact of Chris Burns'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 Chris Burns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Burns more than expected).
Fields of papers citing papers by Chris Burns
This network shows the impact of papers produced by Chris Burns. 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 Chris Burns. The network helps show where Chris Burns may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Burns, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 202 | |
| 2 | 2012 | 197 | |
| 3 | 2001 | 158 | |
| 4 | 2001 | 151 | |
| 5 | 2018 | 125 | |
| 6 | 2004 | 114 | |
| 7 | 2018 | 103 | |
| 8 | 2018 | 96 | |
| 9 | 2005 | 96 | |
| 10 | 2009 | 90 | |
| 11 | 2003 | 89 | |
| 12 | 2006 | 76 | |
| 13 | 2012 | 67 | |
| 14 | 2004 | 59 | |
| 15 | 2018 | 49 | |
| 16 | 2009 | 48 | |
| 17 | 2011 | 42 | |
| 18 | 2017 | 32 | |
| 19 | 2010 | 31 | |
| 20 | 2000 | 29 |
About Chris Burns
Chris Burns is a scholar working on Molecular Biology, Immunology, Surgery, Endocrinology, Diabetes and Metabolism and Hematology, having authored 74 papers that have together received 2.4k indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (10 papers), Pancreatic function and diabetes (8 papers), Pluripotent Stem Cells Research (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Protein purification and stability (5 papers), Erythropoietin and Anemia Treatment (5 papers) and Scientific Measurement and Uncertainty Evaluation (5 papers). The work is most often cited by research in Human-Computer Interaction (99 citations), Computer Science Applications (94 citations), Statistics, Probability and Uncertainty (113 citations), Reproductive Medicine (119 citations) and Endocrinology, Diabetes and Metabolism (208 citations). Chris Burns has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Frank Maurer, Peter M. Jones, Shanta J. Persaud, Melanie Moore, Debra Myhill, Jonathan Sillito, Meenu Wadhwa, Scott W. Van Arsdell, M. D. Moody and S. F. Orencole. Their work appears in journals such as Clinical Chemistry, Journal of Pharmaceutical and Biomedical Analysis, Reproductive BioMedicine Online, Diabetes and Biochemical and Biophysical Research Communications.
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.