G. S. Eadie

52 total papers · 1.5k total citations
18 papers, 412 citations indexed

About

G. S. Eadie is a scholar working on Molecular Biology, Physiology and Electrical and Electronic Engineering. According to data from OpenAlex, G. S. Eadie has authored 18 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Physiology and 4 papers in Electrical and Electronic Engineering. Recurrent topics in G. S. Eadie's work include Erythrocyte Function and Pathophysiology (4 papers), Electrochemical sensors and biosensors (4 papers) and Hemoglobin structure and function (3 papers). G. S. Eadie is often cited by papers focused on Erythrocyte Function and Pathophysiology (4 papers), Electrochemical sensors and biosensors (4 papers) and Hemoglobin structure and function (3 papers). G. S. Eadie collaborates with scholars based in United States. G. S. Eadie's co-authors include Ivan W. Brown, Grace P. Kerby, Frederick Bernheim, Donald Silver, Glen R. Gale, Paul Walters, Saul Boyarsky and Marlon Dillon and has published in prestigious journals such as Science, Journal of Clinical Investigation and Blood.

In The Last Decade

G. S. Eadie

16 papers receiving 346 citations

Author Peers

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

Author						Papers	Cites
G. S. Eadie	167	112	74	70	36	18	412
Dalia Mazor	79 0.5×	68 0.6×	129 1.7×	75 1.1×	28 0.8×	19	420
B. H. Tan	219 1.3×	82 0.7×	40 0.5×	28 0.4×	99 2.8×	22	476
Olga Jovanović	298 1.8×	88 0.8×	114 1.5×	27 0.4×	31 0.9×	13	489
Jose C. Gan	218 1.3×	87 0.8×	39 0.5×	39 0.6×	110 3.1×	33	482
Irene Junga	268 1.6×	174 1.6×	31 0.4×	35 0.5×	65 1.8×	32	494
Manabu Matsunawa	135 0.8×	27 0.2×	70 0.9×	30 0.4×	22 0.6×	22	402
Vincent H. Bono	207 1.2×	32 0.3×	45 0.6×	48 0.7×	32 0.9×	22	445
A. T. Ness	110 0.7×	75 0.7×	38 0.5×	35 0.5×	98 2.7×	13	393
Virginia L. Wyss	194 1.2×	49 0.4×	82 1.1×	35 0.5×	32 0.9×	24	472
A.M. Salvati	120 0.7×	166 1.5×	36 0.5×	46 0.7×	95 2.6×	20	404

Countries citing papers authored by G. S. Eadie

Since Specialization

Citations

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

Fields of papers citing papers by G. S. Eadie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. S. Eadie

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