Frank Tobin

936 citations
15 papers · 717 · h-index 10

Impact in

Papers in

    • Bioinformatics and Genomic Networks 4
    • Microbial Metabolic Engineering and Bioproduction 3
    • Protein Kinase Regulation and GTPase Signaling 2
    • Gene Regulatory Network Analysis 2
    • Drug Transport and Resistance Mechanisms 2
    • Bone health and treatments 2

Frank Tobin

14 papers receiving 687 citations

Peers

Frank Tobin
Comparison fields: 5 of 104
  • Orthopedics and Sports Medicine 180
  • Modeling and Simulation 53
  • Molecular Biology 450
  • Oncology 133
  • Cell Biology 73
Replace Delfina Costa with:
Delfina Costa Italy
Alessandro Palma Italy
John K. Sullivan United States
Tobias Timmel Germany
Charity L. Washam United States
Xuhui Li China
Yuehui Zhang China
Chang Yang China
Yumi Itoh Japan
Frank Tobin relative to Delfina Costa Italy Delfina Costa's profile →
Citations per field
00.5×10×20×26.5×
Delfina Costa · 1×
Citations per year

Countries citing papers authored by Frank Tobin

Since Specialization
Citations

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

Fields of papers citing papers by Frank Tobin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frank Tobin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frank Tobin Line = papers co-authored together Frank Tobin links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2004355
2 1999100
3 199963
4
Tumor heterogeneity and progression: conceptual foundations for modeling.
199659
5 200530
6 201429
7 200617
8 200917
9 200715
10 201115
11
Towards the Reconstruction of Gene Regulatory Networks
19996
12 20085
13 20043
14 20072
15 20051

About Frank Tobin

Frank Tobin is a scholar working on Molecular Biology, Oncology, Genetics, Spectroscopy and Infectious Diseases, having authored 15 papers that have together received 717 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Estrogen and related hormone effects (2 papers), Bone health and treatments (2 papers), Gene Regulatory Network Analysis (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (180 citations), Modeling and Simulation (53 citations), Molecular Biology (450 citations), Oncology (133 citations) and Cell Biology (73 citations). Frank Tobin has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Larry D. Greller, Carolyn R. Cho, Larry J. Suva, Vincent Lemaire, George Poste, Philippe Robert, Stéphane Krief, Isabelle Lefrère, Bertrand Le Douarin and Jean‐François Faivre. Their work appears in journals such as Journal of Lipid Research, Biotechnology and Bioengineering, Genome Research, Molecular Genetics and Genomics and Journal of Theoretical Biology.

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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