Stephanie M. Terrell

27 total papers · 783 total citations
11 papers, 257 citations indexed

About

Stephanie M. Terrell is a scholar working on Molecular Biology, Surgery and Clinical Psychology. According to data from OpenAlex, Stephanie M. Terrell has authored 11 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Clinical Psychology. Recurrent topics in Stephanie M. Terrell's work include Posttraumatic Stress Disorder Research (1 paper), Allelopathy and phytotoxic interactions (1 paper) and Health Policy Implementation Science (1 paper). Stephanie M. Terrell is often cited by papers focused on Posttraumatic Stress Disorder Research (1 paper), Allelopathy and phytotoxic interactions (1 paper) and Health Policy Implementation Science (1 paper). Stephanie M. Terrell collaborates with scholars based in United States and Switzerland. Stephanie M. Terrell's co-authors include Jonathan Z. Long, Veronica L. Li, Joon T. Kim, Wei Wei, Nicholas M. Riley, Carolyn R. Bertozzi, Marta García-Contreras, Andrew C. Yang, Vineet Chopra and Jessica Landgraf and has published in prestigious journals such as PLoS Biology, American Journal of Obstetrics and Gynecology and Nature Chemical Biology.

In The Last Decade

Stephanie M. Terrell

10 papers receiving 255 citations

Author Peers

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

Author						Papers	Cites
Stephanie M. Terrell	76	49	45	45	36	11	257
Debra Brown	42 0.6×	47 1.0×	57 1.3×	54 1.2×	36 1.0×	15	307
Tània Cemeli	97 1.3×	24 0.5×	44 1.0×	73 1.6×	13 0.4×	14	316
Kathleen T. Mitchell	53 0.7×	19 0.4×	112 2.5×	33 0.7×	17 0.5×	14	296
R. DEREK MARSHALL	114 1.5×	16 0.3×	6 0.1×	63 1.4×	20 0.6×	18	305
Paul A. Levy	76 1.0×	8 0.2×	34 0.8×	20 0.4×	69 1.9×	22	303
Yunyong Liu	63 0.8×	13 0.3×	20 0.4×	19 0.4×	25 0.7×	20	332
Katharina Heilmann	192 2.5×	12 0.2×	38 0.8×	17 0.4×	25 0.7×	12	321
Valerie Shakespeare	58 0.8×	12 0.2×	21 0.5×	71 1.6×	36 1.0×	15	319
Maher Chaar	63 0.8×	5 0.1×	14 0.3×	28 0.6×	25 0.7×	9	312
Li Liao	84 1.1×	15 0.3×	43 1.0×	26 0.6×	13 0.4×	22	303

Countries citing papers authored by Stephanie M. Terrell

Since Specialization

Citations

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

Fields of papers citing papers by Stephanie M. Terrell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie M. Terrell. 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 Stephanie M. Terrell. The network helps show where Stephanie M. Terrell may publish in the future.

Co-authorship network of co-authors of Stephanie M. Terrell

This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie M. Terrell. A scholar is included among the top collaborators of Stephanie M. Terrell 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 Stephanie M. Terrell. Stephanie M. Terrell 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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