Steven K. Hanks
- Molecular Biology top 0.2%
- Cell Biology top 0.05%
- Immunology and Allergy top 0.02%
- Oncology top 0.5%
- Plant Science top 1%
- Co-authors
- Tony HunterAnne Marie QuinnThomas R. PolteMihail CALALBDavid D. SchlaepferPeter van der GeerSharmila PatelMarion C. Harper
- Topics
- Cell Adhesion Molecules Research (48 papers)Cellular Mechanics and Interactions (38 papers)Protein Kinase Regulation and GTPase Signaling (17 papers)
- Partner nations
- United StatesCzechiaAustralia
In The Last Decade
Steven K. Hanks
90 papers receiving 20.4k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 13.6k
- Cell Biology 6.3k
- Immunology and Allergy 5.5k
- Oncology 3.1k
- Plant Science 1.8k
Countries citing papers authored by Steven K. Hanks
This map shows the geographic impact of Steven K. Hanks'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 Steven K. Hanks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven K. Hanks more than expected).
Fields of papers citing papers by Steven K. Hanks
This network shows the impact of papers produced by Steven K. Hanks. 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 Steven K. Hanks. The network helps show where Steven K. Hanks may publish in the future.
Co-authorship network of co-authors of Steven K. Hanks
This figure shows the co-authorship network connecting the top 25 collaborators of Steven K. Hanks. A scholar is included among the top collaborators of Steven K. Hanks 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 Steven K. Hanks. Steven K. Hanks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 14 | |
| 3 | 83 | |
| 4 | 37 | |
| 5 | 45 | |
| 6 | 116 | |
| 7 | 174 | |
| 8 | 20 | |
| 9 | 87 | |
| 10 | 147 | |
| 11 | 159 | |
| 12 | 14 | |
| 13 | 47 | |
| 14 | 256 | |
| 15 | Protein-serine kinases | 11 |
| 16 | Protein-tyrosine kinases | 1 |
| 17 | 112 | |
| 18 | Methods for liquid chromatographic analysis of tamoxifen, tamoxifen metabolites and their geometric isomers in biological samples | 1 |
| 19 | 16 | |
| 20 | [2] Protein kinase catalytic domain sequence database: Identification of conserved features of primary structure and classification of family membersbreakdown → | 1093 |
About Steven K. Hanks
Steven K. Hanks is a scholar working on Immunology and Allergy, Cell Biology and Molecular Biology, having authored 92 papers that have together received 20.8k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (48 papers), Cellular Mechanics and Interactions (38 papers) and Protein Kinase Regulation and GTPase Signaling (17 papers). The work is most often cited by research in Immunology and Allergy (5.5k citations), Cell Biology (6.3k citations) and Molecular Biology (13.6k citations). Steven K. Hanks has collaborated with scholars based in United States, Czechia and Australia. Frequent co-authors include Tony Hunter, Anne Marie Quinn, Tony Hunter, Thomas R. Polte, Mihail CALALB, David D. Schlaepfer, Peter van der Geer, Sharmila Patel, Marion C. Harper and Yu‐li Wang. Their work appears in journals such as Nature, Science and Cell.
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.