Daniel G. Ganuza

33 total papers · 446 total citations
29 papers, 382 citations indexed

About

Daniel G. Ganuza is a scholar working on Ecology, Evolution, Behavior and Systematics, Paleontology and Molecular Biology. According to data from OpenAlex, Daniel G. Ganuza has authored 29 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, Evolution, Behavior and Systematics, 9 papers in Paleontology and 7 papers in Molecular Biology. Recurrent topics in Daniel G. Ganuza's work include Plant Diversity and Evolution (21 papers), Paleontology and Stratigraphy of Fossils (8 papers) and Geology and Paleoclimatology Research (7 papers). Daniel G. Ganuza is often cited by papers focused on Plant Diversity and Evolution (21 papers), Paleontology and Stratigraphy of Fossils (8 papers) and Geology and Paleoclimatology Research (7 papers). Daniel G. Ganuza collaborates with scholars based in Argentina, Spain and United Kingdom. Daniel G. Ganuza's co-authors include Eduardo M. Morel, Analía E. Artabe, Luís A. Spalletti, Mariana Brea, Josefina Bodnar, Alba B. Zamuner, Ana Marı́a Zavattieri, Dianne Edwards, Sergio D. Matheos and Juan R. Franzese and has published in prestigious journals such as SHILAP Revista de lepidopterología, Palaeogeography Palaeoclimatology Palaeoecology and Botanical Journal of the Linnean Society.

In The Last Decade

Daniel G. Ganuza

29 papers receiving 369 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 G. Ganuza 293 161 146 66 41 29 382
R. E. Gould 282 1.0× 145 0.9× 100 0.7× 70 1.1× 43 1.0× 15 379
Hai‐Bo Wei 264 0.9× 182 1.1× 168 1.2× 61 0.9× 17 0.4× 32 382
Alan R.T. Spencer 191 0.7× 100 0.6× 109 0.7× 52 0.8× 35 0.9× 28 345
Murilo Rodolfo de Lima 192 0.7× 212 1.3× 89 0.6× 74 1.1× 91 2.2× 31 390
Baoxia Du 196 0.7× 175 1.1× 125 0.9× 87 1.3× 26 0.6× 40 355
Barbara Meller 284 1.0× 122 0.8× 142 1.0× 117 1.8× 29 0.7× 21 401
Juan L. García Massini 308 1.1× 120 0.7× 147 1.0× 83 1.3× 25 0.6× 32 396
Zikun Jiang 281 1.0× 150 0.9× 211 1.4× 24 0.4× 17 0.4× 32 358
Liliana Villar de Seoane 362 1.2× 163 1.0× 120 0.8× 61 0.9× 31 0.8× 29 441
Jiřina Dašková 269 0.9× 121 0.8× 90 0.6× 153 2.3× 77 1.9× 23 402

Countries citing papers authored by Daniel G. Ganuza

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Ganuza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel G. Ganuza

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