Daniel R. Davis

1.0k citations
28 papers · 798 · h-index 10

Impact in

Papers in

Daniel R. Davis

23 papers receiving 756 citations

Peers

Daniel R. Davis
Comparison fields: 5 of 121
  • Physiology 331
  • Cellular and Molecular Neuroscience 169
  • Cell Biology 118
  • Linguistics and Language 32
  • Neurology 50
Replace Sylvia Chen with:
Sylvia Chen United States
Koji Miwa Japan
Kathryn Davidson United States
Elizabeth Marshall Canada
Barbara J. Walker United States
Eric A. Price United States
Yoko Nakamichi Japan
Christine Saunders United States
Harry Howard United States
Lucía Madrigal United States
Daniel R. Davis relative to Sylvia Chen United States Sylvia Chen's profile →
Citations per field
00.5×4.6×
Sylvia Chen · 1×
Citations per year

Countries citing papers authored by Daniel R. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Davis. 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 Daniel R. Davis. The network helps show where Daniel R. Davis may publish in the future.

Co-authors

The 18 scholars most cited alongside Daniel R. Davis, 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 Daniel R. Davis Line = papers co-authored together Daniel R. Davis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994407
2 1961109
3 199571
4 199750
5 199844
6 199622
7 196217
8 201012
9 20069
10 19709
11 19978
12
Hirayama Families: Chips Off the Old Block or Collections of Rubble Piles?
19826
13 20175
14 19585
15 19524
16 20134
17 20104
18 19993
19 19963
20 20242

About Daniel R. Davis

Daniel R. Davis is a scholar working on Linguistics and Language, Language and Linguistics, Literature and Literary Theory, General Health Professions and Molecular Biology, having authored 28 papers that have together received 798 indexed citations. Recurring topics across this work include Multilingual Education and Policy (7 papers), Second Language Learning and Teaching (3 papers), EFL/ESL Teaching and Learning (3 papers), Alzheimer's disease research and treatments (2 papers), Linguistics, Language Diversity, and Identity (2 papers), Discourse Analysis in Language Studies (2 papers), Linguistic Variation and Morphology (2 papers) and Empathy and Medical Education (2 papers). The work is most often cited by research in Physiology (331 citations), Cellular and Molecular Neuroscience (169 citations), Cell Biology (118 citations), Linguistics and Language (32 citations) and Neurology (50 citations). Daniel R. Davis has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Brian H. Anderton, Jean‐Marc Gallo, Diane P. Hanger, C. Hugh Reynolds, Christopher C.J. Miller, Simon Lovestone, James R. Woodgett, Sandrine Mulot, Silvia Stabel and Carthage J. Smith. Their work appears in journals such as World Englishes, Language & Communication, Journal of Neurochemistry, Current Biology and FEBS Letters.

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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