D E Cool
Impact in
- Genetics top 5%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
- Immunology top 5%
- Galectins and Cancer Biology
Papers in
-
- Protein Tyrosine Phosphatases 10
- Genetics 5
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 5
- Co-authors
- Edmond H. Fischer (8 shared papers)Harry Charbonneau (4 shared papers)Ross T. A. MacGillivray (5 shared papers)Kenneth A. Walsh (2 shared papers)E G Krebs (2 shared papers)Nicholas K. Tonks (5 shared papers)N. K. Tonks (2 shared papers)E H Fischer (2 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Molecular Evolution (2 papers)Molecular and Cellular Biochemistry (1 paper)Novartis Foundation symposium (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
D E Cool
19 papers receiving 1.4k citations
D E Cool's Hit Papers
Peers
Comparison fields: 5 of 86
- Genetics 261
- Immunology 478
- Hematology 208
- Molecular Biology 1.0k
- Aging 16
Countries citing papers authored by D E Cool
This map shows the geographic impact of D E Cool'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 E Cool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D E Cool more than expected).
Fields of papers citing papers by D E Cool
This network shows the impact of papers produced by D E Cool. 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 E Cool. The network helps show where D E Cool may publish in the future.
Co-authors
The 25 scholars most cited alongside D E Cool, 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 | cDNA isolated from a human T-cell library encodes a member of the protein-tyrosine-phosphatase family. Hit paper breakdown → | 1989 | 282 |
| 2 | 1989 | 242 | |
| 3 | 1985 | 173 | |
| 4 | 1993 | 136 | |
| 5 | 1990 | 110 | |
| 6 | 1987 | 109 | |
| 7 | 1991 | 64 | |
| 8 | 1993 | 57 | |
| 9 | 1989 | 49 | |
| 10 | 1992 | 41 | |
| 11 | 1993 | 30 | |
| 12 | 1988 | 29 | |
| 13 | 1993 | 26 | |
| 14 | 1993 | 17 | |
| 15 | 1988 | 17 | |
| 16 | 1987 | 12 | |
| 17 | 1993 | 7 | |
| 18 | 2007 | 6 | |
| 19 | 1987 | 1 |
About D E Cool
D E Cool is a scholar working on Molecular Biology, Genetics, Immunology, Hematology and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (10 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Galectins and Cancer Biology (3 papers), Alkaline Phosphatase Research Studies (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Echinoderm biology and ecology (2 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Genetics (261 citations), Immunology (478 citations), Hematology (208 citations), Molecular Biology (1.0k citations) and Aging (16 citations). D E Cool has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Edmond H. Fischer, Harry Charbonneau, Ross T. A. MacGillivray, Kenneth A. Walsh, E G Krebs, Nicholas K. Tonks, N. K. Tonks, E H Fischer, E G Krebs and C D Diltz. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Molecular Evolution, Molecular and Cellular Biochemistry and Novartis Foundation symposium.
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.