Dana Frederick

1.1k citations
23 papers · 1.0k · h-index 14

Impact in

Papers in

Dana Frederick

23 papers receiving 963 citations

Peers

Dana Frederick
Comparison fields: 5 of 85
  • Microbiology 138
  • Cellular and Molecular Neuroscience 248
  • Cancer Research 138
  • Molecular Biology 519
  • Radiology, Nuclear Medicine and Imaging 115
Replace Glenn Paul Dorsam with:
Glenn Paul Dorsam United States
Duraiswamy Navaneetham United States
Theresa A. Baker United States
L A Sklar United States
Anders Björk Sweden
T Tominaga Japan
B E Drysdale United States
Alessia Farinazzo Italy
Paul Mondière France
Afrodite Lourbakos United States
Dana Frederick relative to Glenn Paul Dorsam United States Glenn Paul Dorsam's profile →
Citations per field
00.5×2×4×6×7.2×
Glenn Paul Dorsam · 1×
Citations per year

Countries citing papers authored by Dana Frederick

Since Specialization
Citations

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

Fields of papers citing papers by Dana Frederick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dana Frederick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dana Frederick Line = papers co-authored together Dana Frederick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989221
2 2010140
3 200890
4 200588
5 199580
6 199567
7 199660
8 199651
9 199447
10 200932
11 199626
12 199426
13 199418
14 199516
15 197514
16 201312
17 19916
18 20246
19 20243
20 19962

About Dana Frederick

Dana Frederick is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Hematology and Microbiology, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Epigenetics and DNA Methylation (3 papers), Receptor Mechanisms and Signaling (3 papers), Medical Imaging Techniques and Applications (3 papers), Ion channel regulation and function (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Microbiology (138 citations), Cellular and Molecular Neuroscience (248 citations), Cancer Research (138 citations), Molecular Biology (519 citations) and Radiology, Nuclear Medicine and Imaging (115 citations). Dana Frederick has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Hank F. Kung, André J. Ouellette, Mei‐Ping Kung, Rita M. Greco, John T. Fallon, Marianne F. James, Mu Mu, Zhi‐Ping Zhuang, Janet L. Stein and André J. van Wijnen. Their work appears in journals such as Nuclear Medicine and Biology, Human Molecular Genetics, Biochemistry, Journal of Pharmacology and Experimental Therapeutics and Biochemical and Biophysical Research Communications.

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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