Jay E. Gambee
Impact in
- Genetics top 10%
- Connective tissue disorders research
- Cell Biology top 10%
Papers in
-
- Protein Structure and Dynamics 4
- Chemical Synthesis and Analysis 2
- vaccines and immunoinformatics approaches 2
-
- Collagen: Extraction and Characterization 2
- Co-authors
- Hans Peter Bächinger (7 shared papers)Lynn Y. Sakai (4 shared papers)Dieter Peter Reinhardt (3 shared papers)Douglas R. Keene (2 shared papers)Ernst Pöschl (1 shared paper)Glen M. Corson (1 shared paper)Nicholas P. Morris (3 shared papers)Konrad Beck (2 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Journal of Molecular Biology (2 papers)Proceedings of the National Academy of Sciences (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Jay E. Gambee
16 papers receiving 808 citations
Peers
Comparison fields: 5 of 69
- Genetics 277
- Cell Biology 85
- Biomaterials 72
- Hematology 66
- Immunology and Allergy 23
Countries citing papers authored by Jay E. Gambee
This map shows the geographic impact of Jay E. Gambee'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 Jay E. Gambee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay E. Gambee more than expected).
Fields of papers citing papers by Jay E. Gambee
This network shows the impact of papers produced by Jay E. Gambee. 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 Jay E. Gambee. The network helps show where Jay E. Gambee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay E. Gambee, 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 | 1996 | 217 | |
| 2 | 2000 | 106 | |
| 3 | 2001 | 99 | |
| 4 | 2000 | 75 | |
| 5 | 2000 | 60 | |
| 6 | 1990 | 55 | |
| 7 | 1991 | 47 | |
| 8 | 1997 | 45 | |
| 9 | 1996 | 39 | |
| 10 | 2001 | 37 | |
| 11 | 1996 | 31 | |
| 12 | 1996 | 10 | |
| 13 | 1995 | 5 | |
| 14 | 1997 | 5 | |
| 15 | 1994 | 4 | |
| 16 | 1996 | 4 | |
| 17 | Initial Steps in Assembly of Microfibrils FORMATION OF DISULFIDE-CROSS-LINKED MULTIMERS CONTAINING FIBRILLIN-1 | 2000 | 0 |
About Jay E. Gambee
Jay E. Gambee is a scholar working on Molecular Biology, Biomaterials, Spectroscopy, Cancer Research and Genetics, having authored 17 papers that have together received 839 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Connective tissue disorders research (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Protease and Inhibitor Mechanisms (2 papers), Collagen: Extraction and Characterization (2 papers), Chemical Synthesis and Analysis (2 papers), vaccines and immunoinformatics approaches (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Genetics (277 citations), Cell Biology (85 citations), Biomaterials (72 citations), Hematology (66 citations) and Immunology and Allergy (23 citations). Jay E. Gambee has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Hans Peter Bächinger, Lynn Y. Sakai, Dieter Peter Reinhardt, Douglas R. Keene, Ernst Pöschl, Glen M. Corson, Nicholas P. Morris, Konrad Beck, Yanwen Chen and Robert N. Ono. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Biochemistry.
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.