Daniel J. Fernandez

28 total papers · 581 total citations
17 papers, 358 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 358 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 Cardiac electrophysiology and arrhythmias (4 papers), interferon and immune responses (4 papers) and Ubiquitin and proteasome pathways (3 papers). Daniel J. Fernandez is often cited by papers focused on Cardiac electrophysiology and arrhythmias (4 papers), interferon and immune responses (4 papers) and Ubiquitin and proteasome pathways (3 papers). Daniel J. Fernandez collaborates with scholars based in United States, Belgium and Germany. Daniel J. Fernandez's co-authors include Mohamed Lamkanfi, Klaus‐Peter Knobeloch, Joseph G. Skeate, Diane M. Da Silva, W. Martin Kast, Sandra Hess, Eugen Buehler, Bernard Moss, Madhu Lal and Debasis Panda 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 357 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniel J. Fernandez	179	134	68	45	33	17	358
Zbigniew Korwek	180 1.0×	108 0.8×	67 1.0×	43 1.0×	56 1.7×	14	395
Michelle Somerville	138 0.8×	122 0.9×	103 1.5×	38 0.8×	62 1.9×	14	388
Annie Riera Leal	125 0.7×	83 0.6×	57 0.8×	34 0.8×	23 0.7×	16	397
Zhiwen Yang	149 0.8×	122 0.9×	78 1.1×	62 1.4×	67 2.0×	16	336
Nadeem Mughal	166 0.9×	128 1.0×	31 0.5×	35 0.8×	50 1.5×	14	393
Heeju Ryu	97 0.5×	187 1.4×	80 1.2×	47 1.0×	19 0.6×	17	362
Marta Podgórska	135 0.8×	56 0.4×	53 0.8×	50 1.1×	38 1.2×	20	329
Chengkui Yang	249 1.4×	90 0.7×	51 0.8×	51 1.1×	46 1.4×	15	366
Zhenling Ma	160 0.9×	117 0.9×	126 1.9×	18 0.4×	54 1.6×	22	373
Wenjie Jiang	155 0.9×	119 0.9×	108 1.6×	42 0.9×	49 1.5×	23	393

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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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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