Gail J. Pyne

21 total papers · 726 total citations
18 papers, 607 citations indexed

About

Gail J. Pyne is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gail J. Pyne has authored 18 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 5 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gail J. Pyne's work include Traumatic Brain Injury and Neurovascular Disturbances (12 papers), Intracranial Aneurysms: Treatment and Complications (12 papers) and Heme Oxygenase-1 and Carbon Monoxide (3 papers). Gail J. Pyne is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (12 papers), Intracranial Aneurysms: Treatment and Complications (12 papers) and Heme Oxygenase-1 and Carbon Monoxide (3 papers). Gail J. Pyne collaborates with scholars based in United States and United Kingdom. Gail J. Pyne's co-authors include Joseph F. Clark, Richard J. Paul, Tom Cadoux‐Hudson, Marian L. Miller, Gbolahan W. Okunade, D. A. Miller, Thomas Doetschman, Anastasia Andringa, Gary E. Shull and Jonathan Neumann and has published in prestigious journals such as Journal of Biological Chemistry, Nature Cell Biology and American Journal of Obstetrics and Gynecology.

In The Last Decade

Gail J. Pyne

18 papers receiving 600 citations

Author Peers

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

Author						Papers	Cites
Gail J. Pyne	317	174	91	90	73	18	607
Yue He	299 0.9×	76 0.4×	28 0.3×	44 0.5×	20 0.3×	25	588
Dong-Ho Kim	203 0.6×	76 0.4×	63 0.7×	82 0.9×	49 0.7×	18	661
M. Yanagisawa	146 0.5×	80 0.5×	22 0.2×	22 0.2×	25 0.3×	28	622
Jean‐Raymond Teyssier	264 0.8×	57 0.3×	34 0.4×	20 0.2×	99 1.4×	31	691
Yuan Li	194 0.6×	41 0.2×	52 0.6×	33 0.4×	61 0.8×	23	586
R. De Iasio	65 0.2×	64 0.4×	32 0.4×	104 1.2×	21 0.3×	15	553
Qianyi Huang	162 0.5×	104 0.6×	29 0.3×	49 0.5×	23 0.3×	28	506
Chutaro Yamanaka	222 0.7×	42 0.2×	15 0.2×	85 0.9×	54 0.7×	32	682
H. Wastell	148 0.5×	177 1.0×	111 1.2×	19 0.2×	14 0.2×	11	619
Lars Schlotawa	215 0.7×	44 0.3×	117 1.3×	78 0.9×	8 0.1×	28	613

Countries citing papers authored by Gail J. Pyne

Since Specialization

Citations

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

Fields of papers citing papers by Gail J. Pyne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gail J. Pyne

This figure shows the co-authorship network connecting the top 25 collaborators of Gail J. Pyne. A scholar is included among the top collaborators of Gail J. Pyne 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 Gail J. Pyne. Gail J. Pyne 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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