Shannon Ellis

1.8k total citations
28 papers, 750 citations indexed

About

Shannon Ellis is a scholar working on Molecular Biology, Pharmacology and Toxicology. According to data from OpenAlex, Shannon Ellis has authored 28 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Pharmacology and 4 papers in Toxicology. Recurrent topics in Shannon Ellis's work include Cannabis and Cannabinoid Research (4 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Forensic Toxicology and Drug Analysis (4 papers). Shannon Ellis is often cited by papers focused on Cannabis and Cannabinoid Research (4 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Forensic Toxicology and Drug Analysis (4 papers). Shannon Ellis collaborates with scholars based in United States, Norway and India. Shannon Ellis's co-authors include Dan E. Arking, Andrew B. West, Simone Gupta, Anna Moes, Foram N. Ashar, Joel S. Bader, Jianan Zhan, Bradley Voytek, Thomas Donoghue and Jeffrey T. Leek and has published in prestigious journals such as JAMA, Nucleic Acids Research and Nature Communications.

In The Last Decade

Shannon Ellis

27 papers receiving 741 citations

Peers

Shannon Ellis
Comparison fields: 5 of 128
  • Molecular Biology 292
  • Cognitive Neuroscience 269
  • Genetics 245
  • Neurology 102
  • Pharmacology 52
Replace Simone Gupta with:
Simone Gupta United States
Subhrangshu Guhathakurta United States
Tatyana Adayev United States
Katherine Whalley United States
Virpi Leppä United States
Zane Zeier United States
Emily Greene‐Colozzi United States
Zaohuo Cheng China
Jean‐Bernard Dietrich France
Xiaofeng Guo China
Simone Gupta United States View profile →
Citations per field, relative to Shannon Ellis
Shannon Ellis · 1×
Citations per year, relative to Shannon Ellis
Shannon Ellis · 1×

Countries citing papers authored by Shannon Ellis

Since Specialization
Citations

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

Fields of papers citing papers by Shannon Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shannon Ellis

This figure shows the co-authorship network connecting the top 25 collaborators of Shannon Ellis. A scholar is included among the top collaborators of Shannon Ellis 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 Ellis. Shannon Ellis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 2
4 16
5 1
6 3
7 3
8 16
9 57
10 18
11 23
12 51
13 15
14 28
15 2
16 35
17 366
18 17
19 2
20 6

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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