Francis D. Gibbons

5.5k total citations
19 papers, 685 citations indexed

About

Francis D. Gibbons is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Francis D. Gibbons has authored 19 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 2 papers in Oncology. Recurrent topics in Francis D. Gibbons's work include Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (5 papers) and RNA Interference and Gene Delivery (4 papers). Francis D. Gibbons is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (5 papers) and RNA Interference and Gene Delivery (4 papers). Francis D. Gibbons collaborates with scholars based in United States, United Kingdom and Canada. Francis D. Gibbons's co-authors include Frederick P. Roth, Oliver D. King, Saurabh Asthana, Kevin Struhl, Markus Proft, Murat Taşan, Weidong Tian, Zeba Wunderlich, Julie Park and Lan V. Zhang and has published in prestigious journals such as Blood, Bioinformatics and Cancer Research.

In The Last Decade

Francis D. Gibbons

18 papers receiving 655 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francis D. Gibbons United States 10 533 91 65 40 40 19 685
Haiyan Hu United States 20 833 1.6× 61 0.7× 71 1.1× 31 0.8× 22 0.6× 51 1.0k
Fantine Mordelet France 6 560 1.1× 159 1.7× 69 1.1× 24 0.6× 13 0.3× 7 807
Charalampos Moschopoulos Greece 8 377 0.7× 80 0.9× 113 1.7× 33 0.8× 11 0.3× 15 692
Dong Yue Canada 4 462 0.9× 28 0.3× 73 1.1× 30 0.8× 6 0.1× 6 695
Onur Sumer Canada 3 410 0.8× 29 0.3× 73 1.1× 33 0.8× 6 0.1× 3 603
Tolga Can Türkiye 15 646 1.2× 59 0.6× 90 1.4× 61 1.5× 13 0.3× 51 810
Ioannis Iliopoulos Greece 14 399 0.7× 83 0.9× 63 1.0× 31 0.8× 4 0.1× 27 627
Frédéric Lafitte Belgium 6 593 1.1× 89 1.0× 50 0.8× 28 0.7× 8 0.2× 15 717

Countries citing papers authored by Francis D. Gibbons

Since Specialization
Citations

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

Fields of papers citing papers by Francis D. Gibbons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francis D. Gibbons. 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 Francis D. Gibbons. The network helps show where Francis D. Gibbons may publish in the future.

Co-authorship network of co-authors of Francis D. Gibbons

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

All Works

19 of 19 papers shown
1.
Mitra, Amitava, Rajesh Krishna, Francis D. Gibbons, et al.. (2023). Model‐Informed Approaches and Innovative Clinical Trial Design for Adeno‐Associated Viral Vector‐Based Gene Therapy Product Development: A White Paper. Clinical Pharmacology & Therapeutics. 114(3). 515–529. 9 indexed citations
2.
Bakshi, Suruchi, Guy Meno‐Tetang, Aparna Mohan, et al.. (2022). Hallmarks of neurodegenerative disease: A systems pharmacology perspective. CPT Pharmacometrics & Systems Pharmacology. 11(11). 1399–1429. 28 indexed citations
3.
Chan, Jason R., Richard Allen, Britton Boras, et al.. (2022). Current practices for QSP model assessment: an IQ consortium survey. Journal of Pharmacokinetics and Pharmacodynamics. 51(5). 543–555. 16 indexed citations
4.
Ferguson, Douglas, Weimin Li, Victorine Muse, et al.. (2021). Quantitative Evaluation of Dendritic Nanoparticles in Mice: Biodistribution Dynamics and Downstream Tumor Efficacy Outcomes. Molecular Pharmaceutics. 19(1). 172–187. 1 indexed citations
5.
Goliaei, Ardeshir, Adriana E. Tron, Matthew A. Belmonte, et al.. (2020). Multiscale Model Identifies Improved Schedule for Treatment of Acute Myeloid Leukemia In Vitro With the Mcl‐1 Inhibitor AZD5991. CPT Pharmacometrics & Systems Pharmacology. 9(10). 561–570. 3 indexed citations
6.
Wen, Shenghua, Francis D. Gibbons, Giulia Fabbri, et al.. (2020). Abstract 56: AZD0466, a nanomedicine of a potent dual Bcl-2/Bcl-xL inhibitor, exhibits anti-tumor activity in a range of hematological and solid tumor models. Cancer Research. 80(16_Supplement). 56–56. 6 indexed citations
7.
Ashford, Marianne, Lorraine Graham, Francis D. Gibbons, et al.. (2020). Abstract 1718: Design and optimization of a dendrimer-conjugated dual Bcl-2/Bcl-xL inhibitor, AZD0466, with improved therapeutic index. Cancer Research. 80(16_Supplement). 1718–1718. 2 indexed citations
8.
Cidado, Justin, J. Paul Secrist, Francis D. Gibbons, et al.. (2018). Abstract 311: AZD4320 is a potent, dual Bcl-2/xLinhibitor that rapidly induces apoptosis in preclinical hematologic tumor models. Cancer Research. 78(13_Supplement). 311–311. 5 indexed citations
9.
Gibbons, Francis D., et al.. (2016). Mixture dynamics: Combination therapy in oncology. European Journal of Pharmaceutical Sciences. 88. 132–146. 9 indexed citations
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Beaver, John, Murat Taşan, Francis D. Gibbons, et al.. (2010). FuncBase : a resource for quantitative gene function annotation. Bioinformatics. 26(14). 1806–1807. 12 indexed citations
13.
Tian, Weidong, Lan V. Zhang, Murat Taşan, et al.. (2008). Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiaegene function. Genome biology. 9(S1). S7–S7. 76 indexed citations
14.
Taşan, Murat, Weidong Tian, David P. Hill, et al.. (2008). An en masse phenotype and function prediction system for Mus musculus. Genome biology. 9(S1). S8–S8. 19 indexed citations
15.
Gibbons, Francis D., Markus Proft, Kevin Struhl, & Frederick P. Roth. (2005). Chipper: discovering transcription-factor targets from chromatin immunoprecipitation microarrays using variance stabilization. Genome biology. 6(11). R96–R96. 34 indexed citations
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Asthana, Saurabh, Oliver D. King, Francis D. Gibbons, & Frederick P. Roth. (2004). Predicting Protein Complex Membership Using Probabilistic Network Reliability. Genome Research. 14(6). 1170–1175. 137 indexed citations
18.
Gibbons, Francis D., Joshua E. Elias, Steven P. Gygi, & Frederick P. Roth. (2004). SILVER helps assign peptides to tandem mass spectra using intensity-based scoring. Journal of the American Society for Mass Spectrometry. 15(6). 910–912. 22 indexed citations
19.
Gibbons, Francis D. & Frederick P. Roth. (2002). Judging the Quality of Gene Expression-Based Clustering Methods Using Gene Annotation. Genome Research. 12(10). 1574–1581. 237 indexed citations

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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