Steven K. Hanks

24.6k total citations · 8 hit papers
92 papers, 20.8k citations indexed

About

Steven K. Hanks is a scholar working on Molecular Biology, Immunology and Allergy and Cell Biology. According to data from OpenAlex, Steven K. Hanks has authored 92 papers receiving a total of 20.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 48 papers in Immunology and Allergy and 43 papers in Cell Biology. Recurrent topics in Steven K. Hanks's work include Cell Adhesion Molecules Research (48 papers), Cellular Mechanics and Interactions (38 papers) and Protein Kinase Regulation and GTPase Signaling (17 papers). Steven K. Hanks is often cited by papers focused on Cell Adhesion Molecules Research (48 papers), Cellular Mechanics and Interactions (38 papers) and Protein Kinase Regulation and GTPase Signaling (17 papers). Steven K. Hanks collaborates with scholars based in United States, Czechia and Australia. Steven K. Hanks's 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 and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Steven K. Hanks

90 papers receiving 20.4k citations

Hit Papers

The Protein Kinase Family: Conserved Features and Deduced... 1988 2026 2000 2013 1988 1995 1995 1994 1991 1000 2.0k 3.0k 4.0k

Peers

Steven K. Hanks
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
Replace Sara A. Courtneidge with:
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Margaret C. Frame United Kingdom
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Tadaomi Takenawa Japan
Yi Zheng United States
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Sara A. Courtneidge United States View profile →
Citations per field, relative to Steven K. Hanks
Steven K. Hanks · 1×
Citations per year, relative to Steven K. Hanks
Steven K. Hanks · 1×

Countries citing papers authored by Steven K. Hanks

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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 members breakdown →
1093

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.

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