Daniel J. Fernandez

590 total citations
17 papers, 366 citations indexed

About

Daniel J. Fernandez is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel J. Fernandez has authored 17 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel J. Fernandez's work include interferon and immune responses (4 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Ubiquitin and proteasome pathways (3 papers). Daniel J. Fernandez is often cited by papers focused on interferon and immune responses (4 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Ubiquitin and proteasome pathways (3 papers). Daniel J. Fernandez collaborates with scholars based in United States, Germany and Belgium. Daniel J. Fernandez's co-authors include Mohamed Lamkanfi, Klaus‐Peter Knobeloch, Joseph G. Skeate, W. Martin Kast, Diane M. Da Silva, Sandra Hess, Eugen Buehler, Francis Impens, Kevin Leandro and Pascale Cossart and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel J. Fernandez

16 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Fernandez United States	11	181	136	72	47	33	17	366
Ricardo Valle‐Rios Mexico	14	197 1.1×	154 1.1×	77 1.1×	73 1.6×	41 1.2×	30	517
Razi Quadir Netherlands	10	164 0.9×	141 1.0×	52 0.7×	65 1.4×	47 1.4×	10	337
Hongxiang Sun China	12	208 1.1×	163 1.2×	84 1.2×	49 1.0×	38 1.2×	16	495
Yoshiyuki Hizukuri Japan	9	197 1.1×	128 0.9×	46 0.6×	37 0.8×	15 0.5×	16	411
Wenjie Jiang China	10	157 0.9×	121 0.9×	108 1.5×	44 0.9×	49 1.5×	23	397
Ting‐Yu Lai Taiwan	9	167 0.9×	112 0.8×	54 0.8×	39 0.8×	70 2.1×	17	353
Akhila Balachander Singapore	8	301 1.7×	266 2.0×	57 0.8×	53 1.1×	21 0.6×	10	528
Monika Gudowska-Sawczuk Poland	14	124 0.7×	102 0.8×	67 0.9×	144 3.1×	28 0.8×	45	538
Douglas K. Brubaker United States	12	176 1.0×	68 0.5×	55 0.8×	44 0.9×	45 1.4×	30	359

Countries citing papers authored by Daniel J. Fernandez

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Fernandez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Fernandez

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

All Works

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17 of 17 papers shown

Fernandez, Daniel J., et al.. (2025). Human Papillomavirus Type 16 Stimulates WAVE1- and WAVE2-Dependent Actin Protrusions for Endocytic Entry. Viruses. 17(4). 542–542. 1 indexed citations

Fernandez, Daniel J., et al.. (2025). HPV16 E6 and E7 expressing cancer cells suppress the antitumor immune response by upregulating KLF2-mediated IL-23 expression in macrophages. Journal for ImmunoTherapy of Cancer. 13(8). e011915–e011915.

Ou, Li, et al.. (2023). 134 mNTX-250, a novel multimodal HPV-16 mRNA-based therapeutic, induces potent anti-tumor responses and establishes HPV-16 specific immune memory. SHILAP Revista de lepidopterología. A154–A154. 1 indexed citations

Rice, Judd C., Sunyoung Lee, Daniel J. Fernandez, et al.. (2021). MMP-2 is a novel histone H3 N-terminal protease necessary for myogenic gene activation. Epigenetics & Chromatin. 14(1). 23–23. 10 indexed citations

Skeate, Joseph G., et al.. (2020). Theta-Defensins Inhibit High-Risk Human Papillomavirus Infection Through Charge-Driven Capsid Clustering. Frontiers in Immunology. 11. 15 indexed citations

Fernandez, Daniel J., Sandra Hess, & Klaus‐Peter Knobeloch. (2020). Strategies to Target ISG15 and USP18 Toward Therapeutic Applications. Frontiers in Chemistry. 7. 923–923. 37 indexed citations

Skeate, Joseph G., et al.. (2020). TNFSF14: LIGHTing the Way for Effective Cancer Immunotherapy. Frontiers in Immunology. 11. 922–922. 67 indexed citations

Xin, Bo‐Tao, Gan Jin, Daniel J. Fernandez, et al.. (2019). Total chemical synthesis of murine ISG15 and an activity-based probe with physiological binding properties. Organic & Biomolecular Chemistry. 17(48). 10148–10152. 12 indexed citations

Zhang, Yifeng, Fabien Théry, Nicholas C. Wu, et al.. (2019). The in vivo ISGylome links ISG15 to metabolic pathways and autophagy upon Listeria monocytogenes infection. Nature Communications. 10(1). 5383–5383. 63 indexed citations

10.

Panda, Debasis, Daniel J. Fernandez, Madhu Lal, Eugen Buehler, & Bernard Moss. (2017). Triad of human cellular proteins, IRF2, FAM111A, and RFC3, restrict replication of orthopoxvirus SPI-1 host-range mutants. Proceedings of the National Academy of Sciences. 114(14). 3720–3725. 27 indexed citations

11.

Fernandez, Daniel J., Lieselotte Vande Walle, Filipe Elvas, et al.. (2017). Carboxylate isosteres for caspase inhibitors: the acylsulfonamide case revisited. Organic & Biomolecular Chemistry. 15(35). 7456–7473. 6 indexed citations

12.

Fu, Jiaqi, Daniel J. Fernandez, Marc Ferrer, et al.. (2017). RNAi High-Throughput Screening of Single- and Multi-Cell-Type Tumor Spheroids: A Comprehensive Analysis in Two and Three Dimensions. SLAS DISCOVERY. 22(5). 525–536. 11 indexed citations

13.

Fernandez, Daniel J. & Mohamed Lamkanfi. (2014). Inflammatory caspases: key regulators of inflammation and cell death. Biological Chemistry. 396(3). 193–203. 81 indexed citations

14.

Porterfield, John R., Karthik Raghavan, Daniel J. Fernandez, et al.. (2006). Real time Pressure-Volume loops in mice using complex admittance: measurement and implications. PubMed. 2006. 4336–4339. 16 indexed citations

15.

Raghavan, Karthik, et al.. (2006). Real time Pressure-Volume loops in mice using complex admittance: measurement and implications. Conference proceedings. 1 indexed citations

16.

Wei, Chia‐Ling, Jonathan W. Valvano, M D Feldman, et al.. (2005). Evidence of Time-Varying Myocardial Contribution by In Vivo Magnitude and Phase Measurement in Mice. 4. 3674–3677. 8 indexed citations

17.

Raghavan, Karthik, Chia‐Ling Wei, David Altman, et al.. (2004). Design of instrumentation and data-acquisition system for complex admittance measurement.. PubMed. 40. 453–7. 10 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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