Matthew C. LaFave

2.4k citations
22 papers · 1.4k indexed · h-index 14
Topics
CRISPR and Genetic Engineering (12 papers)Virus-based gene therapy research (4 papers)Zebrafish Biomedical Research Applications (4 papers)

In The Last Decade

Matthew C. LaFave

21 papers receiving 1.4k citations

Peers

Matthew C. LaFave
Comparison fields: 5 of 101
  • Molecular Biology 1.1k
  • Genetics 535
  • Cell Biology 332
  • Oncology 113
  • Cellular and Molecular Neuroscience 92
Replace Gaurav K. Varshney with:
Gaurav K. Varshney United States
Kornel Labun Norway
Jennifer M. Cherone United States
Dale Dorsett United States
Jaime A. Rivera‐Pérez United States
Haruhiko Miyata Japan
C. H. Alvin Hong Kong
Frédéric Sohm France
Jarryd M. Campbell United States
Marcus B. Noyes United States
Matthew C. LaFave relative to Gaurav K. Varshney United States Gaurav K. Varshney's profile →
Citations per field
00.5×1.5×
Gaurav K. Varshney · 1×
Citations per year

Countries citing papers authored by Matthew C. LaFave

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. LaFave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew C. LaFave

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 144
3 52
4 15
5 368
6 93
7 13
8 293
9 15
10 6
11 1
12 1
13 67
14 83
15 3
16 12
17 13
18 7
19 33
20 37

About Matthew C. LaFave

Matthew C. LaFave is a scholar working on Aging, Cell Biology and Molecular Biology, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), Virus-based gene therapy research (4 papers) and Zebrafish Biomedical Research Applications (4 papers). The work is most often cited by research in Aging (49 citations), Cell Biology (332 citations) and Genetics (535 citations). Matthew C. LaFave has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Shawn M. Burgess, Gaurav K. Varshney, Charles P. Venditti, Randy J. Chandler, Mingyu Li, Johan Ledin, Raman Sood, Jeff Sekelsky, Victoria Hoffmann and Abdel Elkahloun. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and Bioinformatics.

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