Jennifer Strickland

57 total papers · 958 total citations
35 papers, 607 citations indexed

About

Jennifer Strickland is a scholar working on Molecular Biology, Clinical Psychology and Anesthesiology and Pain Medicine. According to data from OpenAlex, Jennifer Strickland has authored 35 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Clinical Psychology and 6 papers in Anesthesiology and Pain Medicine. Recurrent topics in Jennifer Strickland's work include Child and Adolescent Psychosocial and Emotional Development (9 papers), Attention Deficit Hyperactivity Disorder (6 papers) and Pain Management and Opioid Use (5 papers). Jennifer Strickland is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (9 papers), Attention Deficit Hyperactivity Disorder (6 papers) and Pain Management and Opioid Use (5 papers). Jennifer Strickland collaborates with scholars based in United States, United Kingdom and Brazil. Jennifer Strickland's co-authors include Robert A. Smith, Roy G. Soto, Rafael Miguel, Alan Cantor, Hector Vila, Thomas W. Ross, Peter A. Nagi, Mark A. Stein, Joyce Hopkins and Kate Keenan and has published in prestigious journals such as Nature, Cancer Research and Journal of Child Psychology and Psychiatry.

In The Last Decade

Jennifer Strickland

34 papers receiving 575 citations

Author Peers

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

Author						Papers	Cites
Jennifer Strickland	173	128	124	112	102	35	607
Amos Hundert	57 0.3×	87 0.7×	75 0.6×	65 0.6×	54 0.5×	29	650
Tae Woo Park	68 0.4×	27 0.2×	46 0.4×	198 1.8×	110 1.1×	26	617
Alessio Gili	91 0.5×	44 0.3×	44 0.4×	83 0.7×	66 0.6×	61	626
Hirofumi Matsuoka	135 0.8×	95 0.7×	13 0.1×	42 0.4×	92 0.9×	31	588
Adriaan van ’t Spijker	143 0.8×	155 1.2×	79 0.6×	31 0.3×	14 0.1×	31	548
Nancy J. Martin	86 0.5×	209 1.6×	35 0.3×	137 1.2×	26 0.3×	24	629
Astrid Aasland	161 0.9×	148 1.2×	16 0.1×	63 0.6×	52 0.5×	20	680
Shubh Mohan Singh	132 0.8×	137 1.1×	25 0.2×	55 0.5×	31 0.3×	74	632
Carrie J. Aigner	66 0.4×	120 0.9×	101 0.8×	154 1.4×	12 0.1×	19	505
Heidi Connolly	76 0.4×	119 0.9×	12 0.1×	157 1.4×	41 0.4×	21	598

Countries citing papers authored by Jennifer Strickland

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Strickland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Strickland

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