Natalie Schüz

52 total papers · 1.1k total citations
37 papers, 757 citations indexed

About

Natalie Schüz is a scholar working on Applied Psychology, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Natalie Schüz has authored 37 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Applied Psychology, 10 papers in Public Health, Environmental and Occupational Health and 10 papers in Physiology. Recurrent topics in Natalie Schüz's work include Behavioral Health and Interventions (23 papers), Smoking Behavior and Cessation (10 papers) and Obesity, Physical Activity, Diet (6 papers). Natalie Schüz is often cited by papers focused on Behavioral Health and Interventions (23 papers), Smoking Behavior and Cessation (10 papers) and Obesity, Physical Activity, Diet (6 papers). Natalie Schüz collaborates with scholars based in Australia, Germany and United Kingdom. Natalie Schüz's co-authors include Stuart G. Ferguson, Benjamin Schüz, Sonia Lippke, Michael Eid, Julia AE Walters, Irina Catrinel Crăciun, Ralf Schwarzer, Helen Cameron-Tucker, Richard Wood‐Baker and Jennifer L. Scott and has published in prestigious journals such as Psychopharmacology, Health Psychology and International Journal of Environmental Research and Public Health.

In The Last Decade

Natalie Schüz

36 papers receiving 742 citations

Author Peers

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

Author						Papers	Cites
Natalie Schüz	276	144	142	140	140	37	757
Marianna Masiero	148 0.5×	151 1.0×	148 1.0×	125 0.9×	190 1.4×	54	879
Owen Carter	113 0.4×	252 1.8×	157 1.1×	62 0.4×	294 2.1×	35	827
M.O.M. van de Ven	147 0.5×	176 1.2×	129 0.9×	365 2.6×	368 2.6×	28	859
Kerry Ettridge	91 0.3×	296 2.1×	197 1.4×	111 0.8×	89 0.6×	51	808
Regina J. J. M. Van Den Eijnden	298 1.1×	60 0.4×	101 0.7×	177 1.3×	386 2.8×	22	710
Jeffrey S. Hallam	121 0.4×	147 1.0×	144 1.0×	54 0.4×	194 1.4×	47	632
Matthew G. Cox	78 0.3×	110 0.8×	87 0.6×	132 0.9×	102 0.7×	21	731
Abbie O. Beacham	89 0.3×	73 0.5×	160 1.1×	142 1.0×	66 0.5×	29	730
Jane Anderson	76 0.3×	69 0.5×	85 0.6×	102 0.7×	105 0.8×	41	825
Steven C. Ames	146 0.5×	151 1.0×	139 1.0×	158 1.1×	226 1.6×	40	702

Countries citing papers authored by Natalie Schüz

Since Specialization

Citations

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

Fields of papers citing papers by Natalie Schüz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Schüz

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