G.A. Grant
- Cancer Research top 2%
- Protease and Inhibitor Mechanisms 4
- Immunology and Allergy top 2%
- Hematology top 2%
- Blood Coagulation and Thrombosis Mechanisms 2
- Oncology top 5%
- Peptidase Inhibition and Analysis 1
- Periodontics top 5%
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- Proteoglycans and glycosaminoglycans research 2
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- Enzyme Production and Characterization 2
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- Plant Disease Resistance and Genetics 1
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- Coagulation, Bradykinin, Polyphosphates, and Angioedema 1
- Venomous Animal Envenomation and Studies 1
- Co-authors
- Gregory I. GoldbergArthur Z. EisenBarry L. MarmerAnnemarie KronbergerEugene A. BauerS M WilhelmAlex Y. StronginVishva M. Dixit
- Journals
- Journal of Biological Chemistry (7 papers)Archives of Biochemistry and Biophysics (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
G.A. Grant
12 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Cancer Research 982
- Immunology and Allergy 278
- Hematology 399
- Oncology 511
- Periodontics 60
Countries citing papers authored by G.A. Grant
This map shows the geographic impact of G.A. Grant'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 G.A. Grant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.A. Grant more than expected).
Fields of papers citing papers by G.A. Grant
This network shows the impact of papers produced by G.A. Grant. 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 G.A. Grant. The network helps show where G.A. Grant may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G.A. Grant, 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 | 1993 | 302 | |
| 2 | 1987 | 155 | |
| 3 | Human fibroblast collagenase. Complete primary structure and homology to an oncogene transformation-induced rat protein.breakdown → | 1986 | 576 |
| 4 | 1985 | 100 | |
| 5 | 1984 | 172 | |
| 6 | 1983 | 34 | |
| 7 | 1981 | 151 | |
| 8 | 1981 | 49 | |
| 9 | 1978 | 82 | |
| 10 | 1978 | 21 | |
| 11 | 1976 | 19 | |
| 12 | 1973 | 39 |
About G.A. Grant
G.A. Grant is a scholar working on Hematology, Cancer Research, Biotechnology, Cell Biology and Clinical Biochemistry, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (4 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Enzyme Production and Characterization (2 papers), Plant Disease Resistance and Genetics (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Venomous Animal Envenomation and Studies (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Cancer Research (982 citations), Immunology and Allergy (278 citations), Hematology (399 citations), Oncology (511 citations) and Periodontics (60 citations). G.A. Grant has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Gregory I. Goldberg, Arthur Z. Eisen, Barry L. Marmer, Annemarie Kronberger, Eugene A. Bauer, S M Wilhelm, Alex Y. Strongin, Vishva M. Dixit, Samuel A. Santoro and William A. Frazier. Their work appears in journals such as Journal of Biological Chemistry, Archives of Biochemistry and Biophysics, The Journal of Cell Biology, Proceedings of the National Academy of Sciences and BMJ.
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.