Eric G. Spokas

30 total papers · 690 total citations
22 papers, 550 citations indexed

About

Eric G. Spokas is a scholar working on Molecular Biology, Pharmacology and Biochemistry. According to data from OpenAlex, Eric G. Spokas has authored 22 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Pharmacology and 5 papers in Biochemistry. Recurrent topics in Eric G. Spokas's work include Inflammatory mediators and NSAID effects (5 papers), Eicosanoids and Hypertension Pharmacology (5 papers) and Nitric Oxide and Endothelin Effects (3 papers). Eric G. Spokas is often cited by papers focused on Inflammatory mediators and NSAID effects (5 papers), Eicosanoids and Hypertension Pharmacology (5 papers) and Nitric Oxide and Endothelin Effects (3 papers). Eric G. Spokas collaborates with scholars based in United States and New Zealand. Eric G. Spokas's co-authors include Patrick Y.-K. Wong, Giancarlo Folco, King-Teh Lin, Jiyan Xue, Marie C. Lin, Frank F. Sun, Giuseppe Pugliese, E Marcinkiewicz, J C McGiff and R D Levere and has published in prestigious journals such as Journal of Biological Chemistry, Environmental Science & Technology and Blood.

In The Last Decade

Eric G. Spokas

22 papers receiving 514 citations

Author Peers

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

Author Last Decade Papers Cites
Eric G. Spokas 195 133 121 95 89 22 550
C.M. Ingerman-Wojenski 113 0.6× 104 0.8× 95 0.8× 135 1.4× 202 2.3× 12 578
Martina H. Lundberg 68 0.3× 119 0.9× 77 0.6× 157 1.7× 159 1.8× 13 492
H. Strobach 111 0.6× 44 0.3× 120 1.0× 86 0.9× 145 1.6× 31 568
G.C. Folco 216 1.1× 77 0.6× 115 1.0× 140 1.5× 93 1.0× 27 496
F. B. Ubatuba 80 0.4× 161 1.2× 145 1.2× 202 2.1× 141 1.6× 15 573
Josée Sraer 99 0.5× 102 0.8× 190 1.6× 108 1.1× 71 0.8× 18 461
Alessandra Meneguzzi 83 0.4× 74 0.6× 170 1.4× 70 0.7× 93 1.0× 24 522
Victor Skrinska 68 0.3× 73 0.5× 109 0.9× 97 1.0× 115 1.3× 32 544
Jérôme Paysant 134 0.7× 85 0.6× 115 1.0× 77 0.8× 68 0.8× 23 495
S. Fernández-Gallardo 79 0.4× 39 0.3× 98 0.8× 53 0.6× 45 0.5× 19 463

Countries citing papers authored by Eric G. Spokas

Since Specialization
Citations

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

Fields of papers citing papers by Eric G. Spokas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric G. Spokas. 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 Eric G. Spokas. The network helps show where Eric G. Spokas may publish in the future.

Co-authorship network of co-authors of Eric G. Spokas

This figure shows the co-authorship network connecting the top 25 collaborators of Eric G. Spokas. A scholar is included among the top collaborators of Eric G. Spokas 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 Eric G. Spokas. Eric G. Spokas 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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