Daniel R. Franco

95 total papers · 566 total citations
34 papers, 306 citations indexed

About

Daniel R. Franco is a scholar working on Atmospheric Science, Molecular Biology and Paleontology. According to data from OpenAlex, Daniel R. Franco has authored 34 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atmospheric Science, 13 papers in Molecular Biology and 11 papers in Paleontology. Recurrent topics in Daniel R. Franco's work include Geology and Paleoclimatology Research (18 papers), Geomagnetism and Paleomagnetism Studies (12 papers) and Paleontology and Stratigraphy of Fossils (11 papers). Daniel R. Franco is often cited by papers focused on Geology and Paleoclimatology Research (18 papers), Geomagnetism and Paleomagnetism Studies (12 papers) and Paleontology and Stratigraphy of Fossils (11 papers). Daniel R. Franco collaborates with scholars based in Brazil, United States and France. Daniel R. Franco's co-authors include Linda A. Hinnov, Márcia Ernesto, Thelma S. Berquó, Ana Luíza Spadano Albuquerque, Jairo F. Savian, C. S. M. Partiti, Andre L. Belem, Karlos Guilherme Diemer Kochhann, Ricardo I.F. Trindade and Thiago Pereira dos Santos and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Daniel R. Franco

31 papers receiving 293 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel R. Franco 169 103 93 92 62 34 306
William Roggenthen 171 1.0× 99 1.0× 159 1.7× 134 1.5× 31 0.5× 24 313
Damien Pas 202 1.2× 61 0.6× 87 0.9× 193 2.1× 62 1.0× 23 301
Yuki Haneda 277 1.6× 104 1.0× 90 1.0× 74 0.8× 89 1.4× 22 305
Joanna S. Denton 187 1.1× 47 0.5× 192 2.1× 44 0.5× 22 0.4× 22 365
Jerry Alvin Lineback 161 1.0× 59 0.6× 31 0.3× 60 0.7× 105 1.7× 29 315
Ligia Pérez‐Cruz 207 1.2× 69 0.7× 94 1.0× 47 0.5× 66 1.1× 60 363
Magdalena Pańczyk 145 0.9× 30 0.3× 165 1.8× 68 0.7× 62 1.0× 35 330
John W. Geissman 165 1.0× 59 0.6× 109 1.2× 57 0.6× 37 0.6× 19 298
Meng Wang 174 1.0× 67 0.7× 38 0.4× 101 1.1× 56 0.9× 27 341
S. L. Dorobek 118 0.7× 31 0.3× 105 1.1× 121 1.3× 104 1.7× 21 293

Countries citing papers authored by Daniel R. Franco

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Franco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Franco. 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 Daniel R. Franco. The network helps show where Daniel R. Franco may publish in the future.

Co-authorship network of co-authors of Daniel R. Franco

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Franco. A scholar is included among the top collaborators of Daniel R. Franco 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 Daniel R. Franco. Daniel R. Franco 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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