E.C. De Renzo
Impact in
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
- Biotechnology top 5%
- Enzyme Production and Characterization
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Enzyme function and inhibition 3
-
- Protease and Inhibitor Mechanisms 10
- Co-authors
- J.F. Kuo (1 shared paper)J.J. Hagan (2 shared papers)B. L. Hutchings (4 shared papers)Friedrich Buck (5 shared papers)M.C. Davies (2 shared papers)Mary E. Englert (2 shared papers)Brian C. W. Hummel (3 shared papers)Peter G. Heytler (3 shared papers)
- Journals
- Journal of Biological Chemistry (9 papers)Archives of Biochemistry and Biophysics (3 papers)Experimental Biology and Medicine (2 papers)Biochemical Pharmacology (2 papers)Journal of Nutrition (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
E.C. De Renzo
27 papers receiving 823 citations
Peers
Comparison fields: 5 of 97
- Cancer Research 298
- Biotechnology 160
- Hematology 157
- Cell Biology 140
- Genetics 63
Countries citing papers authored by E.C. De Renzo
This map shows the geographic impact of E.C. De Renzo'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 E.C. De Renzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E.C. De Renzo more than expected).
Fields of papers citing papers by E.C. De Renzo
This network shows the impact of papers produced by E.C. De Renzo. 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 E.C. De Renzo. The network helps show where E.C. De Renzo may publish in the future.
Co-authors
The 24 scholars most cited alongside E.C. De Renzo, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1969 | 180 | |
| 2 | 1959 | 139 | |
| 3 | 1967 | 75 | |
| 4 | 1967 | 74 | |
| 5 | 1964 | 59 | |
| 6 | 1953 | 55 | |
| 7 | 1960 | 50 | |
| 8 | 1953 | 45 | |
| 9 | 1958 | 40 | |
| 10 | 1968 | 35 | |
| 11 | 1963 | 29 | |
| 12 | 1956 | 29 | |
| 13 | 1967 | 23 | |
| 14 | 1966 | 21 | |
| 15 | 1959 | 20 | |
| 16 | 1959 | 20 | |
| 17 | 1960 | 20 | |
| 18 | 1965 | 17 | |
| 19 | 1958 | 17 | |
| 20 | 1954 | 16 |
About E.C. De Renzo
E.C. De Renzo is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Endocrinology, Diabetes and Metabolism, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (10 papers), Peptidase Inhibition and Analysis (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Enzyme Production and Characterization (4 papers), Metabolism and Genetic Disorders (3 papers), Glycosylation and Glycoproteins Research (3 papers), Enzyme function and inhibition (3 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers). The work is most often cited by research in Cancer Research (298 citations), Biotechnology (160 citations), Hematology (157 citations), Cell Biology (140 citations) and Genetics (63 citations). E.C. De Renzo has collaborated with scholars based in China and United States. Frequent co-authors include J.F. Kuo, J.J. Hagan, B. L. Hutchings, Friedrich Buck, M.C. Davies, Mary E. Englert, Brian C. W. Hummel, Peter G. Heytler, Paul H. Bell and Kenneth W. McKerns. Their work appears in journals such as Journal of Biological Chemistry, Archives of Biochemistry and Biophysics, Experimental Biology and Medicine, Biochemical Pharmacology and Journal of Nutrition.
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.