Shannon Howard

9 total papers · 562 total citations
9 papers, 450 citations indexed

About

Shannon Howard is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Shannon Howard has authored 9 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Shannon Howard's work include Parkinson's Disease Mechanisms and Treatments (3 papers), Melanoma and MAPK Pathways (3 papers) and Nuclear Receptors and Signaling (2 papers). Shannon Howard is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (3 papers), Melanoma and MAPK Pathways (3 papers) and Nuclear Receptors and Signaling (2 papers). Shannon Howard collaborates with scholars based in United States, Netherlands and China. Shannon Howard's co-authors include Philip V. LoGrasso, Jeremy W. Chambers, Sarah Iqbal, Minghai Zhou, Laura A. Volpicelli‐Daley, Corinne Ida Lasmézas, Nicolai T. Urban, Diego Grassi, Alok S. Pachori and Debbie Guerrero‐Given and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Shannon Howard

9 papers receiving 447 citations

Author Peers

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

Author Last Decade Papers Cites
Shannon Howard 222 144 97 82 82 9 450
Fernanda Martins Lopes 256 1.2× 121 0.8× 132 1.4× 65 0.8× 74 0.9× 8 524
Stefanie Pallast 270 1.2× 99 0.7× 81 0.8× 86 1.0× 59 0.7× 11 535
Thaïs Cuadros 215 1.0× 159 1.1× 94 1.0× 66 0.8× 70 0.9× 8 538
Karunakaran Chandran 338 1.5× 100 0.7× 40 0.4× 36 0.4× 96 1.2× 7 548
Sharon O’Neill 221 1.0× 89 0.6× 50 0.5× 67 0.8× 79 1.0× 9 470
Hongrong Xie 319 1.4× 115 0.8× 103 1.1× 38 0.5× 65 0.8× 10 550
Rosalva Thereza Meurer 199 0.9× 81 0.6× 111 1.1× 39 0.5× 60 0.7× 7 423
Abigail Lawler 119 0.5× 255 1.8× 157 1.6× 52 0.6× 165 2.0× 8 484
Heather Klintworth 175 0.8× 90 0.6× 91 0.9× 215 2.6× 76 0.9× 11 543
Elisa Lupino 252 1.1× 191 1.3× 38 0.4× 30 0.4× 107 1.3× 14 463

Countries citing papers authored by Shannon Howard

Since Specialization
Citations

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

Fields of papers citing papers by Shannon Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shannon Howard

This figure shows the co-authorship network connecting the top 25 collaborators of Shannon Howard. A scholar is included among the top collaborators of Shannon Howard 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 Shannon Howard. Shannon Howard 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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2026