Steven K. Hanks

24.6k citations
92 papers · 20.8k indexed · 8 hit papers · h-index 49
Topics
Cell Adhesion Molecules Research (48 papers)Cellular Mechanics and Interactions (38 papers)Protein Kinase Regulation and GTPase Signaling (17 papers)

In The Last Decade

Steven K. Hanks

90 papers receiving 20.4k citations

Hit Papers

The Protein Kinase Family: Conserved Features and Deduced...19882026200020131988199519951994199110002.0k3.0k4.0k

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 Tadaomi Takenawa with:
Tadaomi Takenawa Japan
Jun‐Lin Guan United States
Barry M. Gumbiner United States
Daniel Louvard France
Gary Bokoch United States
Akihiro Iwamatsu Japan
Sara A. Courtneidge United States
Shoukat Dedhar Canada
Laura M. Machesky United Kingdom
Richard Treisman United Kingdom
Steven K. Hanks relative to Tadaomi Takenawa Japan Tadaomi Takenawa's profile →
Citations per field
00.5×3.4×
Tadaomi Takenawa · 1×
Citations per year

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
#WorkIndexed 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026