Matthew D. Keefe

1.1k total citations
10 papers, 839 citations indexed

About

Matthew D. Keefe is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Matthew D. Keefe has authored 10 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Cell Biology. Recurrent topics in Matthew D. Keefe's work include interferon and immune responses (3 papers), Zebrafish Biomedical Research Applications (3 papers) and RNA Research and Splicing (3 papers). Matthew D. Keefe is often cited by papers focused on interferon and immune responses (3 papers), Zebrafish Biomedical Research Applications (3 papers) and RNA Research and Splicing (3 papers). Matthew D. Keefe collaborates with scholars based in United States, Spain and Germany. Matthew D. Keefe's co-authors include L. Charles Murtaugh, Leonard I. Zon, Jeffery L. Kutok, Donna Neuberg, Xiuning Le, David M. Langenau, Narie Y. Storer, Louis M. Kunkel, Jeffrey R. Guyon and Wolfram Goessling and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Blood.

In The Last Decade

Matthew D. Keefe

10 papers receiving 834 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew D. Keefe United States 10 510 338 163 163 141 10 839
Heesuk Zang United States 8 649 1.3× 121 0.4× 93 0.6× 195 1.2× 159 1.1× 8 934
Mark W. Ravera United States 8 836 1.6× 279 0.8× 62 0.4× 126 0.8× 121 0.9× 9 1.0k
Robert Opoka United States 6 569 1.1× 167 0.5× 140 0.9× 73 0.4× 66 0.5× 7 740
Ursula Zimber‐Strobl Switzerland 8 672 1.3× 123 0.4× 214 1.3× 124 0.8× 305 2.2× 9 1.0k
Anna Cattelino Italy 8 790 1.5× 263 0.8× 62 0.4× 103 0.6× 119 0.8× 9 1.0k
Vincent Abramowski France 16 555 1.1× 203 0.6× 46 0.3× 143 0.9× 233 1.7× 23 1.1k
Garrett C. Heffner United States 11 1.2k 2.4× 187 0.6× 126 0.8× 196 1.2× 179 1.3× 15 1.5k
Peter Klint Sweden 11 818 1.6× 264 0.8× 75 0.5× 45 0.3× 119 0.8× 15 949
Hirotake Ichise Japan 15 448 0.9× 113 0.3× 114 0.7× 92 0.6× 328 2.3× 21 781
Brett Hosking Australia 14 786 1.5× 176 0.5× 173 1.1× 101 0.6× 464 3.3× 15 1.2k

Countries citing papers authored by Matthew D. Keefe

Since Specialization
Citations

This map shows the geographic impact of Matthew D. Keefe'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. Keefe 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. Keefe more than expected).

Fields of papers citing papers by Matthew D. Keefe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Keefe. A scholar is included among the top collaborators of Matthew D. Keefe 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. Keefe. Matthew D. Keefe 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
1.
Keefe, Matthew D., Hung‐Yu Shih, Tamara J. Stevenson, et al.. (2020). Vanishing white matter disease expression of truncated EIF2B5 activates induced stress response. eLife. 9. 18 indexed citations
3.
Son, Jong‐Hyun, Matthew D. Keefe, Tamara J. Stevenson, et al.. (2016). Transgenic FingRs for Live Mapping of Synaptic Dynamics in Genetically-Defined Neurons. Scientific Reports. 6(1). 18734–18734. 23 indexed citations
4.
Murtaugh, L. Charles & Matthew D. Keefe. (2014). Regeneration and Repair of the Exocrine Pancreas. Annual Review of Physiology. 77(1). 229–249. 132 indexed citations
5.
Keefe, Matthew D., et al.. (2012). Beta-catenin is selectively required for the expansion and regeneration of mature pancreatic acinar cells. Disease Models & Mechanisms. 5(4). 503–14. 47 indexed citations
6.
Burns, Caroline E., Jenna L. Galloway, Alexandra Smith, et al.. (2009). A genetic screen in zebrafish defines a hierarchical network of pathways required for hematopoietic stem cell emergence. Blood. 113(23). 5776–5782. 76 indexed citations
7.
Saltis, Mark, Michael F. Criscitiello, Yuko Ohta, et al.. (2008). Evolutionarily conserved and divergent regions of the Autoimmune Regulator (Aire) gene: a comparative analysis. Immunogenetics. 60(2). 105–114. 43 indexed citations
8.
Le, Xiuning, David M. Langenau, Matthew D. Keefe, et al.. (2007). Heat shock-inducible Cre/Lox approaches to induce diverse types of tumors and hyperplasia in transgenic zebrafish. Proceedings of the National Academy of Sciences. 104(22). 9410–9415. 152 indexed citations
9.
Langenau, David M., Matthew D. Keefe, Narie Y. Storer, et al.. (2007). Effects of RAS on the genesis of embryonal rhabdomyosarcoma. Genes & Development. 21(11). 1382–1395. 253 indexed citations
10.
Trede, Nikolaus S., Jan Medenbach, Andrey Damianov, et al.. (2007). Network of coregulated spliceosome components revealed by zebrafish mutant in recycling factor p110. Proceedings of the National Academy of Sciences. 104(16). 6608–6613. 63 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026