Shaun M. Lippow
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 2%
- Immunology top 10%
- Biotechnology top 5%
- Oncology
- Co-authors
- K. Dane WittrupBruce TidorBenjamin J. HackelStephen L. SazinskyGinger ChaoWai Leung LauHéctor H. HernándezKatarina S. Midelfort
- Topics
- Monoclonal and Polyclonal Antibodies Research (7 papers)Protein Structure and Dynamics (4 papers)Transgenic Plants and Applications (3 papers)
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Shaun M. Lippow
14 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.1k
- Radiology, Nuclear Medicine and Imaging 767
- Immunology 237
- Biotechnology 177
- Oncology 169
Countries citing papers authored by Shaun M. Lippow
This map shows the geographic impact of Shaun M. Lippow'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 Shaun M. Lippow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaun M. Lippow more than expected).
Fields of papers citing papers by Shaun M. Lippow
This network shows the impact of papers produced by Shaun M. Lippow. 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 Shaun M. Lippow. The network helps show where Shaun M. Lippow may publish in the future.
Co-authorship network of co-authors of Shaun M. Lippow
This figure shows the co-authorship network connecting the top 25 collaborators of Shaun M. Lippow. A scholar is included among the top collaborators of Shaun M. Lippow 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 Shaun M. Lippow. Shaun M. Lippow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 34 | |
| 7 | 26 | |
| 8 | 16 | |
| 9 | 155 | |
| 10 | 270 | |
| 11 | 77 | |
| 12 | 29 | |
| 13 | Isolating and engineering human antibodies using yeast surface displaybreakdown → | 687 |
| 14 | 45 | |
| 15 | A Curved Panel Integration Technique for Molecular Surfaces | 1 |
| 16 | 102 |
About Shaun M. Lippow
Shaun M. Lippow is a scholar working on Biotechnology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Protein Structure and Dynamics (4 papers) and Transgenic Plants and Applications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (767 citations), Biotechnology (177 citations) and Molecular Biology (1.1k citations). Shaun M. Lippow has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include K. Dane Wittrup, Bruce Tidor, Benjamin J. Hackel, Stephen L. Sazinsky, Ginger Chao, Wai Leung Lau, Héctor H. Hernández, Katarina S. Midelfort, Catherine L. Drennan and Daša Lipovšek. Their work appears in journals such as Nucleic Acids Research, The Journal of Chemical Physics and Journal of Clinical Oncology.
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.