D C Watson
Impact in
- Biotechnology top 10%
- Enzyme Production and Characterization
- Parasitology top 10%
- Parasites and Host Interactions
Papers in
-
- Glycosylation and Glycoproteins Research 4
- RNA and protein synthesis mechanisms 3
-
- Iron Metabolism and Disorders 3
- Co-authors
- M Yaguchi (7 shared papers)Noel Martin Young (6 shared papers)Warren W. Wakarchuk (2 shared papers)Anna‐Maria Cunningham (1 shared paper)Jayasri Nanduri (1 shared paper)Alan H. Davis (1 shared paper)Kenneth R. Lynn (1 shared paper)John P. MacManus (2 shared papers)
- Journals
- Biochemical Journal (6 papers)Journal of Biological Chemistry (3 papers)Protein Engineering Design and Selection (2 papers)Journal of Clinical Microbiology (2 papers)Environmental Health Perspectives (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
D C Watson
23 papers receiving 616 citations
Peers
Comparison fields: 5 of 77
- Biotechnology 71
- Parasitology 49
- Molecular Biology 410
- Microbiology 33
- Small Animals 36
Countries citing papers authored by D C Watson
This map shows the geographic impact of D C Watson'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 D C Watson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D C Watson more than expected).
Fields of papers citing papers by D C Watson
This network shows the impact of papers produced by D C Watson. 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 D C Watson. The network helps show where D C Watson may publish in the future.
Co-authors
The 25 scholars most cited alongside D C Watson, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 86 | |
| 2 | 1987 | 64 | |
| 3 | 1990 | 56 | |
| 4 | 1990 | 55 | |
| 5 | 1986 | 43 | |
| 6 | 1988 | 37 | |
| 7 | 1989 | 36 | |
| 8 | 1991 | 35 | |
| 9 | 1990 | 30 | |
| 10 | 1991 | 28 | |
| 11 | 1986 | 22 | |
| 12 | 1991 | 21 | |
| 13 | 1983 | 21 | |
| 14 | 1993 | 20 | |
| 15 | 1995 | 19 | |
| 16 | 1984 | 18 | |
| 17 | 1999 | 16 | |
| 18 | 1985 | 15 | |
| 19 | 1990 | 11 | |
| 20 | 1991 | 8 |
About D C Watson
D C Watson is a scholar working on Molecular Biology, Hematology, Microbiology, Ecology and Genetics, having authored 23 papers that have together received 648 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Bacterial Genetics and Biotechnology (4 papers), Bacteriophages and microbial interactions (4 papers), Iron Metabolism and Disorders (3 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Production and Characterization (2 papers), Plant Virus Research Studies (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Biotechnology (71 citations), Parasitology (49 citations), Molecular Biology (410 citations), Microbiology (33 citations) and Small Animals (36 citations). D C Watson has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include M Yaguchi, Noel Martin Young, Warren W. Wakarchuk, Anna‐Maria Cunningham, Jayasri Nanduri, Alan H. Davis, Kenneth R. Lynn, John P. MacManus, R. Breton and Vern L. Seligy. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Protein Engineering Design and Selection, Journal of Clinical Microbiology and Environmental Health Perspectives.
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.