David A. Turissini

40 total papers · 1.7k total citations
23 papers, 981 citations indexed

About

David A. Turissini is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, David A. Turissini has authored 23 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Molecular Biology and 7 papers in Plant Science. Recurrent topics in David A. Turissini's work include Genetic diversity and population structure (7 papers), Fungal Infections and Studies (6 papers) and Evolution and Genetic Dynamics (4 papers). David A. Turissini is often cited by papers focused on Genetic diversity and population structure (7 papers), Fungal Infections and Studies (6 papers) and Evolution and Genetic Dynamics (4 papers). David A. Turissini collaborates with scholars based in United States, France and China. David A. Turissini's co-authors include Daniel R. Matute, Jerry A. Coyne, Ian Butler, Marcus de Melo Teixeira, Juan G. McEwen, Victoria E. Sepúlveda, William E. Goldman, Roberto Márquez, Jean R. David and Shu Fang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Genetics.

In The Last Decade

David A. Turissini

22 papers receiving 972 citations

Author Peers

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

Author Last Decade Papers Cites
David A. Turissini 438 302 285 271 194 23 981
Francisco J. Ayala 330 0.8× 234 0.8× 171 0.6× 193 0.7× 230 1.2× 28 933
Urmi Trivedi 332 0.8× 401 1.3× 174 0.6× 197 0.7× 107 0.6× 28 976
Mittur N. Jagadish 110 0.3× 451 1.5× 353 1.2× 250 0.9× 61 0.3× 25 986
Jaquelline Germano de Oliveira 190 0.4× 329 1.1× 259 0.9× 83 0.3× 86 0.4× 34 1.0k
Lisa D. Auckland 149 0.3× 166 0.5× 414 1.5× 100 0.4× 116 0.6× 48 1.2k
Benjamin Dauphin 215 0.5× 136 0.5× 180 0.6× 171 0.6× 188 1.0× 34 831
Stefania Weigl 127 0.3× 201 0.7× 146 0.5× 183 0.7× 183 0.9× 20 1.2k
Joe Parker 262 0.6× 333 1.1× 235 0.8× 165 0.6× 208 1.1× 18 1.2k
Eiji Nagayasu 206 0.5× 495 1.6× 102 0.4× 221 0.8× 88 0.5× 30 1.1k
F J Ayala 321 0.7× 396 1.3× 236 0.8× 147 0.5× 99 0.5× 21 1.0k

Countries citing papers authored by David A. Turissini

Since Specialization
Citations

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

Fields of papers citing papers by David A. Turissini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Turissini. 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 David A. Turissini. The network helps show where David A. Turissini may publish in the future.

Co-authorship network of co-authors of David A. Turissini

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Turissini. A scholar is included among the top collaborators of David A. Turissini 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 David A. Turissini. David A. Turissini 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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