Mike Cariaso

15 total papers · 3.6k total citations
3 papers, 217 citations indexed

About

Mike Cariaso is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Mike Cariaso has authored 3 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Genetics. Recurrent topics in Mike Cariaso's work include Algorithms and Data Compression (1 paper), Plant Stress Responses and Tolerance (1 paper) and BRCA gene mutations in cancer (1 paper). Mike Cariaso is often cited by papers focused on Algorithms and Data Compression (1 paper), Plant Stress Responses and Tolerance (1 paper) and BRCA gene mutations in cancer (1 paper). Mike Cariaso collaborates with scholars based in China, United States and Germany. Mike Cariaso's co-authors include Arjen van Tunen, Xiang Yu, Yuke He, Marcel Prins, Han Wang, Fiona Nielsen, Daniel Swan, David Solís, Peter Krawitz and Pascal Borry and has published in prestigious journals such as Bioinformatics, Journal of Experimental Botany and BMC Genomics.

In The Last Decade

Mike Cariaso

3 papers receiving 216 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mike Cariaso 185 132 16 11 8 3 217
Lauren K. Dedow 139 0.8× 140 1.1× 14 0.9× 45 4.1× 10 1.3× 5 222
Zhaorong Ma 267 1.4× 170 1.3× 18 1.1× 10 0.9× 11 1.4× 6 309
Paige E. Panter 241 1.3× 207 1.6× 9 0.6× 11 1.0× 14 1.8× 8 315
Cristina Pacios-Bras 191 1.0× 139 1.1× 16 1.0× 29 2.6× 14 1.8× 8 317
Soon-Kap Kim 201 1.1× 151 1.1× 8 0.5× 6 0.5× 3 0.4× 9 237
Xiaomin Zheng 158 0.9× 121 0.9× 48 3.0× 20 1.8× 12 1.5× 5 274
Alessandra Stürchler 229 1.2× 189 1.4× 10 0.6× 11 1.0× 5 0.6× 5 307
Shabari Sarkar Das 270 1.5× 151 1.1× 14 0.9× 6 0.5× 4 0.5× 9 298
Yuan Yi Constance Chen 111 0.6× 108 0.8× 19 1.2× 4 0.4× 3 0.4× 4 204
Emi Nunokawa 216 1.2× 255 1.9× 5 0.3× 20 1.8× 9 1.1× 4 328

Countries citing papers authored by Mike Cariaso

Since Specialization
Citations

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

Fields of papers citing papers by Mike Cariaso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Cariaso

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

All Works

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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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