Suzanne B. Shuker
- Molecular Biology top 2%
- Computational Theory and Mathematics top 1%
- Oncology top 5%
- Organic Chemistry top 5%
- Materials Chemistry top 10%
- Co-authors
- Robert MeadowsStephen W. FesikPhilip J. HajdukDavid G. NettesheimJohn E. HarlanBrian S. ChangMichael SattlerHo Sup Yoon
- Topics
- Chemical Synthesis and Analysis (6 papers)Supramolecular Chemistry and Complexes (5 papers)T-cell and Retrovirus Studies (4 papers)
- Journals
- ScienceJournal of the American Chemical SocietyBiochemical and Biophysical Research Communications
- Partner nations
- United StatesFrance
In The Last Decade
Suzanne B. Shuker
17 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 2.7k
- Computational Theory and Mathematics 597
- Oncology 494
- Organic Chemistry 470
- Materials Chemistry 379
Countries citing papers authored by Suzanne B. Shuker
This map shows the geographic impact of Suzanne B. Shuker'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 Suzanne B. Shuker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne B. Shuker more than expected).
Fields of papers citing papers by Suzanne B. Shuker
This network shows the impact of papers produced by Suzanne B. Shuker. 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 Suzanne B. Shuker. The network helps show where Suzanne B. Shuker may publish in the future.
Co-authorship network of co-authors of Suzanne B. Shuker
This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne B. Shuker. A scholar is included among the top collaborators of Suzanne B. Shuker 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 Suzanne B. Shuker. Suzanne B. Shuker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 25 | |
| 9 | 9 | |
| 10 | 39 | |
| 11 | 15 | |
| 12 | 49 | |
| 13 | 9 | |
| 14 | Structure of Bcl-x L -Bak Peptide Complex: Recognition Between Regulators of Apoptosisbreakdown → | 1211 |
| 15 | 220 | |
| 16 | 121 | |
| 17 | Discovering High-Affinity Ligands for Proteins: SAR by NMRbreakdown → | 1556 |
About Suzanne B. Shuker
Suzanne B. Shuker is a scholar working on Agronomy and Crop Science, Spectroscopy and Immunology, having authored 17 papers that have together received 3.3k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (6 papers), Supramolecular Chemistry and Complexes (5 papers) and T-cell and Retrovirus Studies (4 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Computational Theory and Mathematics (597 citations) and Spectroscopy (322 citations). Suzanne B. Shuker has collaborated with scholars based in United States and France. Frequent co-authors include Robert Meadows, Stephen W. Fesik, Philip J. Hajduk, David G. Nettesheim, John E. Harlan, Brian S. Chang, Michael Sattler, Ho Sup Yoon, Andy J. Minn and Heng Liang. Their work appears in journals such as Science, Journal of the American Chemical Society and Biochemical and Biophysical Research Communications.
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.