Frank Tobin

931 citations
13 papers · 660 · h-index 10

Impact in

Papers in

    • Bioinformatics and Genomic Networks 4
    • Protein Kinase Regulation and GTPase Signaling 2
    • Gene Regulatory Network Analysis 2
    • Single-cell and spatial transcriptomics 1
    • Signaling Pathways in Disease 1
    • Bone health and treatments 2
    • Drug Transport and Resistance Mechanisms 2

Frank Tobin

13 papers receiving 634 citations

Peers

Frank Tobin
Comparison fields: 5 of 104
  • Orthopedics and Sports Medicine 170
  • Modeling and Simulation 48
  • Molecular Biology 434
  • Oncology 138
  • Cell Biology 67
Replace Delfina Costa with:
Delfina Costa Italy
Alessandro Palma Italy
John K. Sullivan United States
Akinori Hishiya Japan
Kenneth P. Hough United States
Zihao Chen China
Xuhui Li China
Tobias Timmel Germany
Charity L. Washam United States
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Citations per field
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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

13 of 13 papers shown
#Work
1 2004322
2 199997
3 199959
4
Tumor heterogeneity and progression: conceptual foundations for modeling.
199656
5 200527
6 201425
7 200617
8 200916
9 201114
10 200714
11
Towards the Reconstruction of Gene Regulatory Networks
19996
12 20085
13 20072

About Frank Tobin

Frank Tobin is a scholar working on Molecular Biology, Oncology, Genetics, Spectroscopy and Infectious Diseases, having authored 13 papers that have together received 660 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Bone health and treatments (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Estrogen and related hormone effects (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Gene Regulatory Network Analysis (2 papers), Single-cell and spatial transcriptomics (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (170 citations), Modeling and Simulation (48 citations), Molecular Biology (434 citations), Oncology (138 citations) and Cell Biology (67 citations). Frank Tobin has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Larry D. Greller, Larry J. Suva, Carolyn R. Cho, Vincent Lemaire, George Poste, Karen M. Anderson, Jean‐François Faivre, Isabelle Lefrère, Philippe Robert and Michel Souchet. Their work appears in journals such as Molecular Genetics and Genomics, Biotechnology and Bioengineering, Journal of Lipid Research, Journal of Bioinformatics and Computational Biology and Journal of Biological Chemistry.

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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