Tara Gaertner

13 total papers · 701 total citations
10 papers, 554 citations indexed

About

Tara Gaertner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Tara Gaertner has authored 10 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Computational Theory and Mathematics. Recurrent topics in Tara Gaertner's work include Protein Kinase Regulation and GTPase Signaling (3 papers), Protein Structure and Dynamics (3 papers) and Signaling Pathways in Disease (2 papers). Tara Gaertner is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), Protein Structure and Dynamics (3 papers) and Signaling Pathways in Disease (2 papers). Tara Gaertner collaborates with scholars based in United States, Canada and Switzerland. Tara Gaertner's co-authors include M. Neal Waxham, John A. Putkey, Yu Tian Wang, Quinn Kleerekoper, Michel Baudry, Tak Pan Wong, Nadège Chéry, Wei Xu, Steven J. Kolodziej and John M. Koomen and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Biochemistry.

In The Last Decade

Tara Gaertner

8 papers receiving 543 citations

Author Peers

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

Author						Papers	Cites
Tara Gaertner	391	279	107	50	42	10	554
Sventja von Daake	523 1.3×	128 0.5×	120 1.1×	58 1.2×	23 0.5×	12	666
Jun Kitano	370 0.9×	366 1.3×	96 0.9×	27 0.5×	36 0.9×	8	511
Maria del Carmen Vitery	392 1.0×	147 0.5×	74 0.7×	37 0.7×	90 2.1×	8	607
Michael B. McFerrin	445 1.1×	195 0.7×	38 0.4×	51 1.0×	34 0.8×	10	643
Huey‐Jen Tsay	490 1.3×	215 0.8×	79 0.7×	36 0.7×	28 0.7×	18	626
Maria Christina F. de Mello	391 1.0×	288 1.0×	46 0.4×	26 0.5×	42 1.0×	19	579
Dhrubajyoti Chowdhury	331 0.8×	287 1.0×	63 0.6×	54 1.1×	29 0.7×	15	507
Michael Kirmiz	346 0.9×	199 0.7×	115 1.1×	67 1.3×	29 0.7×	9	501
Chanjuan Xu	502 1.3×	329 1.2×	69 0.6×	24 0.5×	27 0.6×	28	698
Aline Bréchet	471 1.2×	469 1.7×	157 1.5×	18 0.4×	45 1.1×	7	696

Countries citing papers authored by Tara Gaertner

Since Specialization

Citations

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

Fields of papers citing papers by Tara Gaertner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tara Gaertner. 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 Tara Gaertner. The network helps show where Tara Gaertner may publish in the future.

Co-authorship network of co-authors of Tara Gaertner

This figure shows the co-authorship network connecting the top 25 collaborators of Tara Gaertner. A scholar is included among the top collaborators of Tara Gaertner 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 Tara Gaertner. Tara Gaertner 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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