Ausma Rabe

45 total papers · 1.2k total citations
36 papers, 953 citations indexed

About

Ausma Rabe is a scholar working on Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health and Cognitive Neuroscience. According to data from OpenAlex, Ausma Rabe has authored 36 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 8 papers in Public Health, Environmental and Occupational Health and 7 papers in Cognitive Neuroscience. Recurrent topics in Ausma Rabe's work include Neuroscience and Neuropharmacology Research (11 papers), Down syndrome and intellectual disability research (8 papers) and Genetics and Neurodevelopmental Disorders (7 papers). Ausma Rabe is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Down syndrome and intellectual disability research (8 papers) and Genetics and Neurodevelopmental Disorders (7 papers). Ausma Rabe collaborates with scholars based in United States, Italy and Poland. Ausma Rabe's co-authors include Henryk M. Wı́sniewski, Moon H. Lee, Abdeslem El Idrissi, Carl Dobkin, Adam A. Golabek, W. Ted Brown, Elizabeth Kida, Giorgio Albertini, J. W. Shek and Maria Spatz and has published in prestigious journals such as Science, Brain Research and Annals of the New York Academy of Sciences.

In The Last Decade

Ausma Rabe

36 papers receiving 908 citations

Author Peers

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

Author						Papers	Cites
Ausma Rabe	266	238	231	225	178	36	953
Edson Luck Gonzales	297 1.1×	492 2.1×	367 1.6×	182 0.8×	83 0.5×	34	1.1k
Klaudia Barabás	195 0.7×	109 0.5×	220 1.0×	345 1.5×	90 0.5×	33	1.2k
Olivier Lassalle	218 0.8×	317 1.3×	245 1.1×	487 2.2×	78 0.4×	26	1.0k
MaiBritt Giacobini	439 1.7×	212 0.9×	200 0.9×	264 1.2×	80 0.4×	36	1.1k
Pitna Kim	479 1.8×	437 1.8×	341 1.5×	181 0.8×	79 0.4×	24	1.2k
Fiorenza Stagni	278 1.0×	108 0.5×	318 1.4×	106 0.5×	157 0.9×	36	876
Matthew Nelson	185 0.7×	108 0.5×	165 0.7×	214 1.0×	229 1.3×	26	859
Jean‐Bernard Manent	390 1.5×	216 0.9×	188 0.8×	615 2.7×	69 0.4×	25	1.1k
H.W.M. Steinbusch	335 1.3×	114 0.5×	81 0.4×	261 1.2×	228 1.3×	25	971
María Dolores Martin‐de‐Saavedra	518 1.9×	97 0.4×	191 0.8×	266 1.2×	166 0.9×	37	1.2k

Countries citing papers authored by Ausma Rabe

Since Specialization

Citations

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

Fields of papers citing papers by Ausma Rabe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ausma Rabe

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