Lisa J. Garrard
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Cell Biology
- Cancer Research
- Co-authors
- Joel GoodmanDennis J. HennerAndrew LamDeborah DammLawrence W. StantonGeorge F. SchreinerAndrew A. ProtterAnn M. Kapoun
- Topics
- Monoclonal and Polyclonal Antibodies Research (6 papers)Glycosylation and Glycoproteins Research (4 papers)Amino Acid Enzymes and Metabolism (3 papers)
- Cited by
- Molecular BiologyCardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Lisa J. Garrard
14 papers receiving 939 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 804
- Cardiology and Cardiovascular Medicine 199
- Radiology, Nuclear Medicine and Imaging 197
- Cell Biology 71
- Cancer Research 66
Countries citing papers authored by Lisa J. Garrard
This map shows the geographic impact of Lisa J. Garrard'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 Lisa J. Garrard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa J. Garrard more than expected).
Fields of papers citing papers by Lisa J. Garrard
This network shows the impact of papers produced by Lisa J. Garrard. 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 Lisa J. Garrard. The network helps show where Lisa J. Garrard may publish in the future.
Co-authorship network of co-authors of Lisa J. Garrard
This figure shows the co-authorship network connecting the top 25 collaborators of Lisa J. Garrard. A scholar is included among the top collaborators of Lisa J. Garrard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lisa J. Garrard. Lisa J. Garrard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 300 | |
| 3 | 25 | |
| 4 | 46 | |
| 5 | 6 | |
| 6 | Fab assembly and enrichment in a monovalent phage display system | 27 |
| 7 | 95 | |
| 8 | 2 | |
| 9 | 254 | |
| 10 | 55 | |
| 11 | 117 | |
| 12 | 33 | |
| 13 | 17 | |
| 14 | 6 |
About Lisa J. Garrard
Lisa J. Garrard is a scholar working on Biochemistry, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 14 papers that have together received 992 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). The work is most often cited by research in Molecular Biology (804 citations), Cardiology and Cardiovascular Medicine (199 citations) and Radiology, Nuclear Medicine and Imaging (197 citations). Lisa J. Garrard has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Joel Goodman, Dennis J. Henner, Andrew Lam, Deborah Damm, Lawrence W. Stanton, George F. Schreiner, Andrew A. Protter, Ann M. Kapoun, Roger White and Qiang Zheng. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal and Circulation Research.
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.