Sarah Chang

24 total papers · 974 total citations
16 papers, 584 citations indexed

About

Sarah Chang is a scholar working on Applied Psychology, Experimental and Cognitive Psychology and Endocrinology. According to data from OpenAlex, Sarah Chang has authored 16 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Applied Psychology, 7 papers in Experimental and Cognitive Psychology and 4 papers in Endocrinology. Recurrent topics in Sarah Chang's work include Digital Mental Health Interventions (8 papers), Mental Health Research Topics (7 papers) and Vibrio bacteria research studies (4 papers). Sarah Chang is often cited by papers focused on Digital Mental Health Interventions (8 papers), Mental Health Research Topics (7 papers) and Vibrio bacteria research studies (4 papers). Sarah Chang collaborates with scholars based in United States, India and Canada. Sarah Chang's co-authors include Paula I. Watnick, Laetitia Houot, Cédric Absalon, John Torous, Bradley Pickering, Robert G. Poston, Serena M. Dudek, Richard D. Jones, Mark L. Andermann and Kelsey M. Tyssowski and has published in prestigious journals such as Nature Communications, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Sarah Chang

15 papers receiving 580 citations

Author Peers

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

Author						Papers	Cites
Sarah Chang	266	137	109	102	79	16	584
Yu-Cheng Lin	262 1.0×	63 0.5×	6 0.1×	43 0.4×	63 0.8×	15	687
Janette Tong	244 0.9×	66 0.5×	39 0.4×	105 1.0×	131 1.7×	20	574
Maria Carmela Latella	303 1.1×	55 0.4×	42 0.4×	89 0.9×	143 1.8×	22	632
Kazuko Miyakawa	343 1.3×	68 0.5×	28 0.3×	43 0.4×	199 2.5×	20	584
Robert A. Gillespie	235 0.9×	8 0.1×	10 0.1×	146 1.4×	59 0.7×	8	611
David W. Keller	64 0.2×	56 0.4×	63 0.6×	26 0.3×	38 0.5×	31	593
Huiyi Chen	260 1.0×	74 0.5×	23 0.2×	24 0.2×	158 2.0×	19	542
P.R. Smith	222 0.8×	88 0.6×	238 2.2×	18 0.2×	27 0.3×	18	575
Kathleen M. Franklin	129 0.5×	89 0.6×	19 0.2×	57 0.6×	26 0.3×	15	597
Radhika Gade‐Andavolu	100 0.4×	6 0.0×	59 0.5×	113 1.1×	81 1.0×	15	587

Countries citing papers authored by Sarah Chang

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Chang

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