Matthew Flickinger

16.5k citations
6 papers · 421 indexed · h-index 5
Topics
Genetic Associations and Epidemiology (3 papers)Gene expression and cancer classification (3 papers)Molecular Biology Techniques and Applications (3 papers)
Partner nations
United StatesPoland

In The Last Decade

Matthew Flickinger

6 papers receiving 419 citations

Peers

Matthew Flickinger
Comparison fields: 5 of 83
  • Genetics 233
  • Molecular Biology 217
  • Cancer Research 63
  • Epidemiology 32
  • Surgery 26
Replace Denise E. Mauldin with:
Denise E. Mauldin United States
Emilie Ait‐Yahya France
Emily Spencer United States
Sofia Dória Portugal
Emmanuelle Souzeau Australia
Cristina Molinatto Italy
Karin Weiss Israel
Ligia Mateiu Belgium
Shelly G. Smith United States
Kristbjorn O. Gudmundsson United States
Matthew Flickinger relative to Denise E. Mauldin United States Denise E. Mauldin's profile →
Citations per field
00.5×3.8×
Denise E. Mauldin · 1×
Citations per year

Countries citing papers authored by Matthew Flickinger

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Flickinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Flickinger

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 1
2 135
3 30
4 29
5 21
6 205

About Matthew Flickinger

Matthew Flickinger is a scholar working on Information Systems and Management, Genetics and Molecular Biology, having authored 6 papers that have together received 421 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Gene expression and cancer classification (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Genetics (233 citations), Cancer Research (63 citations) and Molecular Biology (217 citations). Matthew Flickinger has collaborated with scholars based in United States and Poland. Frequent co-authors include Gonçalo R. Abecasis, Michael Boehnke, Hyun Min Kang, Goo Jun, Jane Romm, Kurt N. Hetrick, Kimberly F. Doheny, Peter VandeHaar, Ryan Welch and Andrew P. Boughton. Their work appears in journals such as Bioinformatics, Genome Research and The American Journal of Human Genetics.

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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