Matthew D. Davis

964 total citations · 1 hit paper
10 papers, 496 citations indexed

About

Matthew D. Davis is a scholar working on Molecular Biology, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthew D. Davis has authored 10 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Ophthalmology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthew D. Davis's work include Retinal Diseases and Treatments (3 papers), Retinal Imaging and Analysis (2 papers) and Genomics and Chromatin Dynamics (2 papers). Matthew D. Davis is often cited by papers focused on Retinal Diseases and Treatments (3 papers), Retinal Imaging and Analysis (2 papers) and Genomics and Chromatin Dynamics (2 papers). Matthew D. Davis collaborates with scholars based in United States, Serbia and South Korea. Matthew D. Davis's co-authors include James W. Pennebaker, Moongee Jeon, Arthur C. Graesser, Astar Winoto, Li Chai, Nikki R. Kong, Robert Tjian, Ronald P. Danis, Laura M. Lombardi and Jasper Rine and has published in prestigious journals such as Genetics, Ophthalmology and PLoS Genetics.

In The Last Decade

Matthew D. Davis

9 papers receiving 484 citations

Hit Papers

Pronoun Use Reflects Standings in Social Hierarchies 2013 2026 2017 2021 2013 100 200 300

Peers

Matthew D. Davis
Comparison fields: 5 of 105
  • Sociology and Political Science 145
  • Social Psychology 117
  • Artificial Intelligence 97
  • Molecular Biology 62
  • Literature and Literary Theory 45
Replace Karen Huang with:
Karen Huang United States
Brigitte Maier Austria
Zhongxuan Lin China
Min‐Ling Hung Taiwan
Olga Amsterdamska Netherlands
Yunya Song Hong Kong
Mengyan Ma China
Lynne McKechnie Canada
William A. Foley Australia
Christian Pentzold Germany
Karen Huang United States View profile →
Citations per field, relative to Matthew D. Davis
Matthew D. Davis · 1×
Citations per year, relative to Matthew D. Davis
Matthew D. Davis · 1×

Countries citing papers authored by Matthew D. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew D. Davis

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 1
2 16
3 28
4 14
5 7
6
Pronoun Use Reflects Standings in Social Hierarchies breakdown →
366
7 33
8 25
9 0
10 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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