David K. Robinson
- General Psychology top 5%
- Academic and Historical Perspectives in Psychology 5
- Biotechnology top 5%
- Transgenic Plants and Applications 3
- Molecular Biology top 10%
- Viral Infectious Diseases and Gene Expression in Insects 15
- Protein purification and stability 8
- Enzyme Catalysis and Immobilization 4
- Microbial Metabolic Engineering and Bioproduction 4
- Analytical Chemistry top 5%
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- Monoclonal and Polyclonal Antibodies Research 7
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- Virus-based gene therapy research 3
- Co-authors
- Lily ChuTheodora A. BibilaKlaus MosbachMichel ChartrainRobert W. RieberBarry C. BucklandJinyou ZhangPeter Salmon
- Journals
- Annals of the New York Academy of Sciences (3 papers)Current Opinion in Biotechnology (2 papers)Biotechnology and Bioengineering (3 papers)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
David K. Robinson
34 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 147
- General Psychology 42
- Biotechnology 181
- Molecular Biology 1.0k
- Analytical Chemistry 118
- Radiology, Nuclear Medicine and Imaging 265
Countries citing papers authored by David K. Robinson
This map shows the geographic impact of David K. Robinson'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 David K. Robinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David K. Robinson more than expected).
Fields of papers citing papers by David K. Robinson
This network shows the impact of papers produced by David K. Robinson. 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 David K. Robinson. The network helps show where David K. Robinson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David K. Robinson, 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 | 2016 | 29 | |
| 2 | 2010 | 2 | |
| 3 | 2010 | 5 | |
| 4 | 2007 | 21 | |
| 5 | 2007 | 28 | |
| 6 | 2006 | 33 | |
| 7 | 2006 | 33 | |
| 8 | 2006 | 45 | |
| 9 | 2005 | 48 | |
| 10 | 2005 | 14 | |
| 11 | 2000 | 35 | |
| 12 | 2000 | 40 | |
| 13 | 1995 | 173 | |
| 14 | 1995 | 13 | |
| 15 | 1994 | 19 | |
| 16 | 1994 | 8 | |
| 17 | 1994 | 52 | |
| 18 | 1992 | 10 | |
| 19 | 1991 | 42 | |
| 20 | 1987 | 14 |
About David K. Robinson
David K. Robinson is a scholar working on General Psychology, Human Factors and Ergonomics and Biotechnology, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (15 papers), Protein purification and stability (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Academic and Historical Perspectives in Psychology (5 papers), Enzyme Catalysis and Immobilization (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Virus-based gene therapy research (3 papers) and Transgenic Plants and Applications (3 papers). The work is most often cited by research in General Psychology (42 citations), Biotechnology (181 citations) and Molecular Biology (1.0k citations). David K. Robinson has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Lily Chu, Theodora A. Bibila, Klaus Mosbach, Michel Chartrain, Robert W. Rieber, Barry C. Buckland, Jinyou Zhang, Peter Salmon, Klaus Memmert and Peter M. Salmon. Their work appears in journals such as Annals of the New York Academy of Sciences, Current Opinion in Biotechnology and Biotechnology and Bioengineering.
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.