Jennifer E. Nyland

72 total papers · 877 total citations
44 papers, 592 citations indexed

About

Jennifer E. Nyland is a scholar working on Cellular and Molecular Neuroscience, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jennifer E. Nyland has authored 44 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 9 papers in Epidemiology and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jennifer E. Nyland's work include Neurotransmitter Receptor Influence on Behavior (6 papers), Opioid Use Disorder Treatment (6 papers) and Prenatal Substance Exposure Effects (5 papers). Jennifer E. Nyland is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (6 papers), Opioid Use Disorder Treatment (6 papers) and Prenatal Substance Exposure Effects (5 papers). Jennifer E. Nyland collaborates with scholars based in United States, South Africa and Canada. Jennifer E. Nyland's co-authors include I SILVA, E. K. Silbergeld, Patricia S. Grigson, Lawrence R. Burns, Nazia Raja‐Khan, Jennifer L. Kraschnewski, Samuel A. McLean, Philippe Haouzi, Leslie J. Parent and Kerstin Bettermann and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Diabetes.

In The Last Decade

Jennifer E. Nyland

37 papers receiving 576 citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer E. Nyland 99 83 83 81 69 44 592
Antonella Bacosi 63 0.6× 89 1.1× 50 0.6× 116 1.4× 105 1.5× 21 662
Matteo Moretti 130 1.3× 23 0.3× 39 0.5× 103 1.3× 68 1.0× 45 643
Anindya Dasgupta 49 0.5× 23 0.3× 60 0.7× 160 2.0× 60 0.9× 53 645
Yazmín Hernández‐Díaz 181 1.8× 15 0.2× 61 0.7× 95 1.2× 58 0.8× 60 671
Paweł Sowa 46 0.5× 20 0.2× 109 1.3× 60 0.7× 23 0.3× 41 607
Kuljeet Singh Anand 49 0.5× 40 0.5× 44 0.5× 56 0.7× 44 0.6× 36 512
Maria Pieri 21 0.2× 54 0.7× 34 0.4× 121 1.5× 37 0.5× 53 672
Rong Yang 62 0.6× 114 1.4× 52 0.6× 62 0.8× 20 0.3× 49 631
James Ermer 47 0.5× 64 0.8× 48 0.6× 65 0.8× 156 2.3× 45 653
Stefania Bello 27 0.3× 20 0.2× 168 2.0× 128 1.6× 102 1.5× 31 645

Countries citing papers authored by Jennifer E. Nyland

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer E. Nyland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer E. Nyland

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