Silvia Pavan

27 papers receiving 364 citations

Peers

Silvia Pavan
Comparison fields: 5 of 46
  • Paleontology 237
  • Ecological Modeling 36
  • Ecology, Evolution, Behavior and Systematics 134
  • Ecology 177
  • Nature and Landscape Conservation 46
Replace Gisele Lessa with:
Gisele Lessa Brazil
Daniel Galiano Brazil
Joyce Rodrigues do Prado Brazil
Juan F. Díaz‐Nieto Colombia
Lucila I. Amador Argentina
Jilong Cheng China
Robert J. Baker United States
Fábio Oliveira do Nascimento Brazil
Dusan Boric‐Bargetto Chile
Vladimír Mazoch Czechia
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Citations per field
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Citations per year

Countries citing papers authored by Silvia Pavan

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Pavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Silvia Pavan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Silvia Pavan Line = papers co-authored together Silvia Pavan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202046
2 201445
3 200732
4 201627
5 201226
6 201624
7 201521
8 201118
9 202016
10 201815
11 202314
12 201713
13 202013
14 201511
15 20229
16 20236
17 20236
18 20245
19 20085
20 20244

About Silvia Pavan

Silvia Pavan is a scholar working on Paleontology, Ecology, Evolution, Behavior and Systematics, Ecology, Genetics and Molecular Biology, having authored 34 papers that have together received 371 indexed citations. Recurring topics across this work include Evolution and Paleontology Studies (19 papers), Bat Biology and Ecology Studies (12 papers), Wildlife Ecology and Conservation (9 papers), Virus-based gene therapy research (6 papers), Animal Ecology and Behavior Studies (5 papers), Amphibian and Reptile Biology (5 papers), Nuclear Structure and Function (4 papers) and Bone health and osteoporosis research (2 papers). The work is most often cited by research in Paleontology (237 citations), Ecological Modeling (36 citations), Ecology, Evolution, Behavior and Systematics (134 citations), Ecology (177 citations) and Nature and Landscape Conservation (46 citations). Silvia Pavan has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Robert S. Voss, Sharon A. Jansa, Yuri Luiz Reis Leite, Alexandre Reis Percequillo, Don E. Wilson, Mirian T. N. Tsuchiya, Jesús E. Maldonado, Rogério Vieira Rossi, Horácio Schneider and Valéria Fagundes. Their work appears in journals such as American Museum Novitates, Molecular Phylogenetics and Evolution, South American Journal of Herpetology, The Journal of Sex Research and Archives of Gerontology and Geriatrics.

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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