G. Travis Tabor

16 total papers · 618 total citations
11 papers, 360 citations indexed

About

G. Travis Tabor is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, G. Travis Tabor has authored 11 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Neurology and 3 papers in Physiology. Recurrent topics in G. Travis Tabor's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Immune cells in cancer (3 papers) and Alzheimer's disease research and treatments (3 papers). G. Travis Tabor is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Immune cells in cancer (3 papers) and Alzheimer's disease research and treatments (3 papers). G. Travis Tabor collaborates with scholars based in United States. G. Travis Tabor's co-authors include David M. Holtzman, Jason D. Ulrich, Melissa Manis, Rudolph E. Tanzi, Mary Beth Finn, Thomas E. Mahan, Caroline Massad Francis, Yun Chen, Chao Wang and Tien‐Phat V. Huynh and has published in prestigious journals such as Cell, Nature Communications and Neuron.

In The Last Decade

G. Travis Tabor

11 papers receiving 359 citations

Author Peers

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

Author						Papers	Cites
G. Travis Tabor	158	138	130	67	63	11	360
Emilie L. Castranio	157 1.0×	186 1.3×	114 0.9×	42 0.6×	70 1.1×	10	384
Anaïs Mounier	134 0.8×	206 1.5×	85 0.7×	51 0.8×	41 0.7×	10	404
Alisha A. McBride	109 0.7×	113 0.8×	73 0.6×	36 0.5×	54 0.9×	11	359
Makoto Sawada	85 0.5×	92 0.7×	142 1.1×	92 1.4×	69 1.1×	8	346
Taizo Ishikawa	191 1.2×	150 1.1×	150 1.2×	65 1.0×	73 1.2×	8	376
Claire Tronel	75 0.5×	149 1.1×	112 0.9×	49 0.7×	74 1.2×	9	379
Tao-Xiang Chen	67 0.4×	175 1.3×	104 0.8×	42 0.6×	95 1.5×	21	396
Shannon E. Rose	95 0.6×	91 0.7×	80 0.6×	35 0.5×	57 0.9×	17	306
Júlia Português Almeida	131 0.8×	207 1.5×	83 0.6×	34 0.5×	97 1.5×	11	389
Pablo Cisternas	102 0.6×	159 1.2×	129 1.0×	43 0.6×	23 0.4×	15	362

Countries citing papers authored by G. Travis Tabor

Since Specialization

Citations

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

Fields of papers citing papers by G. Travis Tabor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Travis Tabor

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