Francis Combes

810 total citations
19 papers, 554 citations indexed

About

Francis Combes is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Francis Combes has authored 19 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Immunology and 4 papers in Genetics. Recurrent topics in Francis Combes's work include RNA Interference and Gene Delivery (8 papers), Immunotherapy and Immune Responses (8 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Francis Combes is often cited by papers focused on RNA Interference and Gene Delivery (8 papers), Immunotherapy and Immune Responses (8 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Francis Combes collaborates with scholars based in Belgium, Norway and United States. Francis Combes's co-authors include Niek N. Sanders, Evelyne Meyer, Séan Mc Cafferty, Zifu Zhong, Stefan Lienenklaus, Bruno G. De Geest, Pieter Vervaeke, Sunil A. David, Lutz Nuhn and Sven Even Borgos and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and Biomaterials.

In The Last Decade

Francis Combes

18 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francis Combes Belgium	13	334	216	143	90	69	19	554
Stefano Persano Italy	10	461 1.4×	240 1.1×	199 1.4×	93 1.0×	138 2.0×	16	699
Alvin J. Mukalel United States	12	475 1.4×	115 0.5×	142 1.0×	139 1.5×	89 1.3×	16	664
Kota Tange Japan	19	615 1.8×	215 1.0×	105 0.7×	57 0.6×	115 1.7×	30	828
Lauren N. Randolph United States	12	267 0.8×	68 0.3×	133 0.9×	55 0.6×	100 1.4×	18	589
Elisa Schrader Echeverri United States	10	560 1.7×	96 0.4×	77 0.5×	45 0.5×	81 1.2×	20	738
Nadja Salomon Germany	7	340 1.0×	271 1.3×	54 0.4×	182 2.0×	27 0.4×	9	513
Michaela Jeong South Korea	8	656 2.0×	121 0.6×	75 0.5×	65 0.7×	88 1.3×	11	816
Pranali Ravikumar United States	6	393 1.2×	185 0.9×	151 1.1×	293 3.3×	53 0.8×	13	637

Countries citing papers authored by Francis Combes

Since Specialization

Citations

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

Fields of papers citing papers by Francis Combes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis Combes

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

All Works

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19 of 19 papers shown

Rothweiler, Ulli, et al.. (2024). Using nucleolytic toxins as restriction enzymes enables new RNA applications. Nucleic Acids Research. 52(18). e90–e90.

Combes, Francis, et al.. (2024). Rapid and scalable detection of synthetic mRNA byproducts using polynucleotide phosphorylase and polythymidine oligonucleotides. RNA Biology. 21(1). 665–672. 1 indexed citations

Combes, Francis, et al.. (2024). Urea supplementation improves mRNA in vitro transcription by decreasing both shorter and longer RNA byproducts. RNA Biology. 21(1). 365–370. 5 indexed citations

Xie, Junhua, Sriram Balusu, Elien Van Wonterghem, et al.. (2022). Choroid plexus-derived extracellular vesicles exhibit brain targeting characteristics. Biomaterials. 290. 121830–121830. 13 indexed citations

Vervaeke, Pieter, Sven Even Borgos, Niek N. Sanders, & Francis Combes. (2022). Regulatory guidelines and preclinical tools to study the biodistribution of RNA therapeutics. Advanced Drug Delivery Reviews. 184. 114236–114236. 42 indexed citations

Sofias, Alexandros Marios, Francis Combes, Steffen Koschmieder, Gert Storm, & Twan Lammers. (2021). A paradigm shift in cancer nanomedicine: from traditional tumor targeting to leveraging the immune system. Drug Discovery Today. 26(6). 1482–1489. 17 indexed citations

Zhong, Zifu, Séan Mc Cafferty, Stefan Lienenklaus, et al.. (2021). Corticosteroids and cellulose purification improve, respectively, the in vivo translation and vaccination efficacy of sa-mRNAs. Molecular Therapy. 29(4). 1370–1381. 26 indexed citations

Li, Hui, Simon Van Herck, Yongjun Liu, et al.. (2020). Imidazoquinoline-Conjugated Degradable Coacervate Conjugate for Local Cancer Immunotherapy. ACS Biomaterials Science & Engineering. 6(9). 4993–5000. 14 indexed citations

Cafferty, Séan Mc, Tasuku Kitada, Ron Weiss, et al.. (2020). In Vivo Validation of a Reversible Small Molecule-Based Switch for Synthetic Self-Amplifying mRNA Regulation. Molecular Therapy. 29(3). 1164–1173. 19 indexed citations

10.

Combes, Francis, Evelyne Meyer, & Niek N. Sanders. (2020). Immune cells as tumor drug delivery vehicles. Journal of Controlled Release. 327. 70–87. 75 indexed citations

11.

Combes, Francis, Alexandros Marios Sofias, Séan Mc Cafferty, et al.. (2019). Mononuclear but Not Polymorphonuclear Phagocyte Depletion Increases Circulation Times and Improves Mammary Tumor-Homing Efficiency of Donor Bone Marrow-Derived Monocytes. Cancers. 11(11). 1752–1752. 8 indexed citations

12.

Zhong, Zifu, et al.. (2019). Improving the Repeatability and Efficacy of Intradermal Electroporated Self-Replicating mRNA. Molecular Therapy — Nucleic Acids. 17. 388–395. 13 indexed citations

13.

Combes, Francis, Séan Mc Cafferty, Evelyne Meyer, & Niek N. Sanders. (2018). Off-Target and Tumor-Specific Accumulation of Monocytes, Macrophages and Myeloid-Derived Suppressor Cells after Systemic Injection. Neoplasia. 20(8). 848–856. 17 indexed citations

14.

Zhong, Zifu, et al.. (2018). mRNA therapeutics deliver a hopeful message. Nano Today. 23. 16–39. 97 indexed citations

15.

Leyman, Bregje, Séan Mc Cafferty, Francis Combes, et al.. (2018). Comparison of the Expression Kinetics and Immunostimulatory Activity of Replicating mRNA, Nonreplicating mRNA, and pDNA after Intradermal Electroporation in Pigs. Molecular Pharmaceutics. 15(2). 377–384. 22 indexed citations

16.

Nuhn, Lutz, Stefaan De Koker, Sandra Van Lint, et al.. (2018). Nanoparticle‐Conjugate TLR7/8 Agonist Localized Immunotherapy Provokes Safe Antitumoral Responses. Advanced Materials. 30(45). e1803397–e1803397. 137 indexed citations

17.

Denies, Sofie, Bregje Leyman, Francis Combes, et al.. (2017). Evaluation of a xenogeneic vascular endothelial growth factor-2 vaccine in two preclinical metastatic tumor models in mice. Cancer Immunology Immunotherapy. 66(12). 1545–1555. 3 indexed citations

18.

Denies, Sofie, et al.. (2016). In vitro exploration of a myeloid-derived suppressor cell line as vehicle for cancer gene therapy. Cancer Gene Therapy. 24(4). 149–155. 6 indexed citations

19.

Combes, Francis. (2009). Diversity of polyproline recognition by EVH1 domains. Frontiers in bioscience. Volume(14). 833–833. 39 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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