Jared V. Goodman

12 total papers · 501 total citations
8 papers, 371 citations indexed

About

Jared V. Goodman is a scholar working on Molecular Biology, Cognitive Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Jared V. Goodman has authored 8 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cognitive Neuroscience and 2 papers in Developmental Neuroscience. Recurrent topics in Jared V. Goodman's work include Genomics and Chromatin Dynamics (3 papers), Memory and Neural Mechanisms (2 papers) and MicroRNA in disease regulation (2 papers). Jared V. Goodman is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), Memory and Neural Mechanisms (2 papers) and MicroRNA in disease regulation (2 papers). Jared V. Goodman collaborates with scholars based in United States, China and United Kingdom. Jared V. Goodman's co-authors include Kerry J. Ressler, Brian Dias, Sunayana B. Banerjee, Azad Bonni, Alexander Easton, Raül Andero, Sébastien Fuchs, Paul J. Marvar, Dennis C. Choi and Jonathan Wang and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Jared V. Goodman

8 papers receiving 366 citations

Author Peers

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

Author Last Decade Papers Cites
Jared V. Goodman 146 81 63 61 53 8 371
Tara P. Cominski 117 0.8× 55 0.7× 62 1.0× 83 1.4× 28 0.5× 14 354
Hannah Kim 97 0.7× 75 0.9× 131 2.1× 61 1.0× 23 0.4× 12 354
Qiong‐Bin Zhu 116 0.8× 120 1.5× 78 1.2× 37 0.6× 57 1.1× 13 420
Ji-Seon Seo 156 1.1× 56 0.7× 53 0.8× 94 1.5× 55 1.0× 9 374
Tian Gao 176 1.2× 26 0.3× 41 0.7× 120 2.0× 26 0.5× 11 432
Liping Mou 109 0.7× 49 0.6× 62 1.0× 120 2.0× 16 0.3× 13 395
Sandra Beeské 120 0.8× 84 1.0× 62 1.0× 94 1.5× 13 0.2× 13 372
Julius C. Pape 172 1.2× 128 1.6× 34 0.5× 30 0.5× 30 0.6× 10 419
Daisuke Ikawa 191 1.3× 28 0.3× 58 0.9× 39 0.6× 15 0.3× 13 374
Melinda G. Arnett 94 0.6× 166 2.0× 26 0.4× 66 1.1× 11 0.2× 12 394

Countries citing papers authored by Jared V. Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Jared V. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jared V. Goodman. 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 Jared V. Goodman. The network helps show where Jared V. Goodman may publish in the future.

Co-authorship network of co-authors of Jared V. Goodman

This figure shows the co-authorship network connecting the top 25 collaborators of Jared V. Goodman. A scholar is included among the top collaborators of Jared V. Goodman 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 Jared V. Goodman. Jared V. Goodman 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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