Ronald J. Fecek

712 total citations
18 papers, 500 citations indexed

About

Ronald J. Fecek is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Ronald J. Fecek has authored 18 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 7 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Ronald J. Fecek's work include Immunotherapy and Immune Responses (10 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immune Cell Function and Interaction (4 papers). Ronald J. Fecek is often cited by papers focused on Immunotherapy and Immune Responses (10 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immune Cell Function and Interaction (4 papers). Ronald J. Fecek collaborates with scholars based in United States, Netherlands and France. Ronald J. Fecek's co-authors include Walter J. Storkus, Manoj Chelvanambi, Jennifer L. Taylor, Kellsye P. Fabian, Charles R. Rinaldo, Robbie B. Mailliard, Priyanka Sharma, Theresa L. Whiteside, Nils Ludwig and Beatrice M. Razzo and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Journal of Controlled Release.

In The Last Decade

Ronald J. Fecek

18 papers receiving 497 citations

Peers

Ronald J. Fecek

IMMUN

ONCOL

VIROL

Viveka Nand Yadav United States

Lukas Klein Germany

Chungyong Han South Korea

Dominique Vanhecke Belgium

Samuel Alsén Sweden

Sandra Silva-Arrieta United States

Sanjay Kottapalli United States

Giovanni Nitti United States

Maurizia DʼEgidio Italy

Sharon Lam United States

Viveka Nand Yadav United States

Ronald J. Fecek

216 ×0.8

IMMUN

187 ×0.9

127 ×0.7

ONCOL

107 ×1.7

35 ×0.8

VIROL

Citations per year, relative to Ronald J. Fecek Ronald J. Fecek (= 1×) peers Viveka Nand Yadav

Countries citing papers authored by Ronald J. Fecek

Since Specialization

Citations

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

Fields of papers citing papers by Ronald J. Fecek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald J. Fecek. 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 Ronald J. Fecek. The network helps show where Ronald J. Fecek may publish in the future.

Co-authorship network of co-authors of Ronald J. Fecek

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

All Works

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18 of 18 papers shown

Fecek, Ronald J., et al.. (2023). Role of microtubule actin crosslinking factor 1 (MACF1) in bipolar disorder pathophysiology and potential in lithium therapeutic mechanism. Translational Psychiatry. 13(1). 221–221. 7 indexed citations

Latoche, Joseph D., Ronald J. Fecek, Jennifer L. Taylor, et al.. (2021). PET Imaging of VLA-4 in a New BRAFV600E Mouse Model of Melanoma. Molecular Imaging and Biology. 24(3). 425–433. 8 indexed citations

Chelvanambi, Manoj, et al.. (2021). Cutaneous Melanoma: Mutational Status and Potential Links to Tertiary Lymphoid Structure Formation. Frontiers in Immunology. 12. 629519–629519. 10 indexed citations

Chelvanambi, Manoj, Ronald J. Fecek, Jennifer L. Taylor, & Walter J. Storkus. (2021). STING agonist-based treatment promotes vascular normalization and tertiary lymphoid structure formation in the therapeutic melanoma microenvironment. Journal for ImmunoTherapy of Cancer. 9(2). e001906–e001906. 143 indexed citations

Close, David A., John M. Kirkwood, Ronald J. Fecek, Walter J. Storkus, & Paul A. Johnston. (2020). Unbiased High-Throughput Drug Combination Pilot Screening Identifies Synergistic Drug Combinations Effective against Patient-Derived and Drug-Resistant Melanoma Cell Lines. SLAS DISCOVERY. 26(5). 712–729. 5 indexed citations

Chelvanambi, Manoj, Ronald J. Fecek, Jennifer L. Taylor, & Walter J. Storkus. (2020). 602 STING agonist-based treatment promotes vascular normalization and tertiary lymphoid structure formation in the therapeutic melanoma microenvironment. SHILAP Revista de lepidopterología. A359.2–A360. 6 indexed citations

Hwang, Mintai P., et al.. (2019). Single injection of IL-12 coacervate as an effective therapy against B16-F10 melanoma in mice. Journal of Controlled Release. 318. 270–278. 38 indexed citations

Razzo, Beatrice M., Nils Ludwig, Chang‐Sook Hong, et al.. (2019). Tumor-derived exosomes promote carcinogenesis of murine oral squamous cell carcinoma. Carcinogenesis. 41(5). 625–633. 71 indexed citations

Choi, Jae‐Yeon, Wissam Beaino, Ronald J. Fecek, et al.. (2018). Combined VLA-4–Targeted Radionuclide Therapy and Immunotherapy in a Mouse Model of Melanoma. Journal of Nuclear Medicine. 59(12). 1843–1849. 54 indexed citations

10.

Fabian, Kellsye P., et al.. (2017). Therapeutic efficacy of combined vaccination against tumor pericyte-associated antigens DLK1 and DLK2 in mice. OncoImmunology. 6(3). e1290035–e1290035. 18 indexed citations

11.

Raϊch‐Regué, Dàlia, et al.. (2016). Intratumoral delivery of mTORC2-deficient dendritic cells inhibits B16 melanoma growth by promoting CD8⁺ effector T cell responses. OncoImmunology. 5(6). e1146841–e1146841. 22 indexed citations

12.

Fecek, Ronald J. & Walter J. Storkus. (2016). Combination Strategies to Enhance the Potency of Monocyte-Derived Dendritic Cell-Based Cancer Vaccines. Immunotherapy. 8(10). 1205–1218. 9 indexed citations

13.

Smith, Kellie N., Robbie B. Mailliard, Paolo Piazza, et al.. (2016). Effective Cytotoxic T Lymphocyte Targeting of Persistent HIV-1 during Antiretroviral Therapy Requires Priming of Naive CD8 ⁺ T Cells. mBio. 7(3). 17 indexed citations

14.

Watkins, Simon C., Ronald J. Fecek, Paweł Kaliński, et al.. (2014). CD40 ligand-expressing T helper cells induce networks of tunneling nanotubes in dendritic cells activated by mediators of type-1 immunity (IRC5P.463). The Journal of Immunology. 192(Supplement_1). 125.12–125.12. 1 indexed citations

15.

Watkins, Simon C., Paweł Kaliński, Ronald J. Fecek, et al.. (2014). CD40L Induces Functional Tunneling Nanotube Networks Exclusively in Dendritic Cells Programmed by Mediators of Type 1 Immunity. The Journal of Immunology. 194(3). 1047–1056. 43 indexed citations

16.

Mailliard, Robbie B., Kellie N. Smith, Ronald J. Fecek, et al.. (2013). Selective Induction of CTL Helper Rather Than Killer Activity by Natural Epitope Variants Promotes Dendritic Cell–Mediated HIV-1 Dissemination. The Journal of Immunology. 191(5). 2570–2580. 28 indexed citations

17.

Fecek, Ronald J., et al.. (2010). Enteric reovirus infection stimulates peanut-specific IgG2a responses in a mouse food allergy model. Immunobiology. 215(12). 941–948. 8 indexed citations

18.

Fecek, Ronald J., et al.. (2006). Production of Alexa Fluor 488-labeled reovirus and characterization of target cell binding, competence, and immunogenicity of labeled virions. Journal of Immunological Methods. 314(1-2). 30–37. 12 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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