Steve Martin

45 total papers · 1.2k total citations
26 papers, 943 citations indexed

About

Steve Martin is a scholar working on Molecular Biology, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Steve Martin has authored 26 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Biomedical Engineering and 8 papers in Cell Biology. Recurrent topics in Steve Martin's work include Cellular Mechanics and Interactions (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and 3D Printing in Biomedical Research (3 papers). Steve Martin is often cited by papers focused on Cellular Mechanics and Interactions (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and 3D Printing in Biomedical Research (3 papers). Steve Martin collaborates with scholars based in Germany, United States and Sweden. Steve Martin's co-authors include W. Pompe, Jiranuwat Sapudom, Stefan Rubner, Péter Juhász, Ulf Anderegg, Stefanie Riedel, Claudia Tanja Mierke, Thomas N. Plasterer, Robert McBurney and Aram Adourian and has published in prestigious journals such as Biomaterials, Advanced Functional Materials and Macromolecules.

In The Last Decade

Steve Martin

26 papers receiving 911 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Steve Martin 333 235 235 155 142 26 943
Nobuaki Tanaka 248 0.7× 152 0.6× 151 0.6× 103 0.7× 32 0.2× 38 931
Amy Schutz‐Geschwender 585 1.8× 121 0.5× 188 0.8× 86 0.6× 50 0.4× 15 937
Tomoya Hayashi 439 1.3× 157 0.7× 198 0.8× 108 0.7× 28 0.2× 50 1.1k
Tamara L. Kinzer‐Ursem 477 1.4× 96 0.4× 249 1.1× 68 0.4× 38 0.3× 42 1.0k
Simon J. Attwood 512 1.5× 210 0.9× 282 1.2× 181 1.2× 20 0.1× 16 1.1k
Sivakumar Vijayaraghavalu 540 1.6× 106 0.5× 307 1.3× 240 1.5× 31 0.2× 38 1.1k
D. B. Myers 128 0.4× 143 0.6× 243 1.0× 41 0.3× 29 0.2× 29 900
Rosendo Estrada 790 2.4× 115 0.5× 196 0.8× 34 0.2× 240 1.7× 29 1.2k
Takeo Urakami 468 1.4× 60 0.3× 403 1.7× 70 0.5× 173 1.2× 21 1.2k
Michael R. Ziebell 602 1.8× 334 1.4× 146 0.6× 62 0.4× 75 0.5× 18 1.2k

Countries citing papers authored by Steve Martin

Since Specialization
Citations

This map shows the geographic impact of Steve Martin'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 Steve Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Martin more than expected).

Fields of papers citing papers by Steve Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Martin. 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 Steve Martin. The network helps show where Steve Martin may publish in the future.

Co-authorship network of co-authors of Steve Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Martin. A scholar is included among the top collaborators of Steve Martin 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 Steve Martin. Steve Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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