Rikki Hullinger

14 total papers · 568 total citations
11 papers, 449 citations indexed

About

Rikki Hullinger is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Rikki Hullinger has authored 11 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Rikki Hullinger's work include Memory and Neural Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Rikki Hullinger is often cited by papers focused on Memory and Neural Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Rikki Hullinger collaborates with scholars based in United States, Canada and Mexico. Rikki Hullinger's co-authors include Corinna Bürger, Kenneth J. O’Riordan, Luigi Puglielli, Karen A. Cavassani, Ana Paula Moreira, Cory M. Hogaboam, Lynne A. Murray, Rogério Silva Rosada, Giuseppe P. Cortese and Hertzel C. Gerstein and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and PLoS ONE.

In The Last Decade

Rikki Hullinger

11 papers receiving 446 citations

Author Peers

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

Author						Papers	Cites
Rikki Hullinger	135	112	100	70	66	11	449
Xiaoyun Dou	79 0.6×	71 0.6×	137 1.4×	52 0.7×	28 0.4×	19	475
P. Vallet	113 0.8×	116 1.0×	175 1.8×	106 1.5×	32 0.5×	8	481
Adrien Lacaud	92 0.7×	36 0.3×	85 0.8×	59 0.8×	26 0.4×	10	523
William A. Banks	113 0.8×	58 0.5×	106 1.1×	68 1.0×	26 0.4×	7	548
Tomer Illouz	174 1.3×	60 0.5×	123 1.2×	85 1.2×	48 0.7×	14	480
Francisca Cornejo	157 1.2×	75 0.7×	151 1.5×	85 1.2×	38 0.6×	15	460
Gloria Laryea	80 0.6×	101 0.9×	125 1.3×	33 0.5×	15 0.2×	10	505
Gwyneth Welch	127 0.9×	109 1.0×	234 2.3×	47 0.7×	53 0.8×	6	539
Kitty Reemst	73 0.5×	86 0.8×	110 1.1×	80 1.1×	24 0.4×	9	531
Victoria Sánchez	136 1.0×	58 0.5×	92 0.9×	181 2.6×	40 0.6×	18	517

Countries citing papers authored by Rikki Hullinger

Since Specialization

Citations

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

Fields of papers citing papers by Rikki Hullinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rikki Hullinger

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