Felipe Rivas

29 total papers · 539 total citations
14 papers, 351 citations indexed

About

Felipe Rivas is a scholar working on Cell Biology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Felipe Rivas has authored 14 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 5 papers in Molecular Biology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Felipe Rivas's work include Proteoglycans and glycosaminoglycans research (6 papers), Reproductive Biology and Fertility (3 papers) and Nanopore and Nanochannel Transport Studies (3 papers). Felipe Rivas is often cited by papers focused on Proteoglycans and glycosaminoglycans research (6 papers), Reproductive Biology and Fertility (3 papers) and Nanopore and Nanochannel Transport Studies (3 papers). Felipe Rivas collaborates with scholars based in United States, Belgium and Germany. Felipe Rivas's co-authors include Adam R. Hall, Elaheh Rahbar, Paul L. DeAngelis, Mary Ellen Pavone, Michele T. Pritchard, Francesca E. Duncan, Sharrón L Manuel, Farners Amargant, Luhan T. Zhou and Heidi L. Reesink and has published in prestigious journals such as Nature Communications, Current Biology and Scientific Reports.

In The Last Decade

Felipe Rivas

14 papers receiving 349 citations

Author Peers

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

Author Last Decade Papers Cites
Felipe Rivas 126 121 100 87 78 14 351
Duan Li 52 0.4× 164 1.4× 66 0.7× 37 0.4× 42 0.5× 16 343
Takahiko Kondo 62 0.5× 143 1.2× 26 0.3× 30 0.3× 64 0.8× 19 369
Anna Giovanna Sciancalepore 33 0.3× 129 1.1× 180 1.8× 31 0.4× 21 0.3× 17 369
Shoma Nakagawa 234 1.9× 162 1.3× 38 0.4× 80 0.9× 141 1.8× 15 371
Jiangyang Xue 48 0.4× 230 1.9× 39 0.4× 21 0.2× 22 0.3× 17 321
Emilia Sinderewicz 161 1.3× 105 0.9× 30 0.3× 20 0.2× 116 1.5× 27 364
Xue Yang 51 0.4× 126 1.0× 63 0.6× 13 0.1× 37 0.5× 18 319
Emna Ouni 225 1.8× 73 0.6× 45 0.5× 37 0.4× 111 1.4× 11 305
J.Sabina Sobel 140 1.1× 211 1.7× 20 0.2× 93 1.1× 47 0.6× 18 348
Mariska Gröllers‐Mulderij 30 0.2× 151 1.2× 56 0.6× 38 0.4× 10 0.1× 11 360

Countries citing papers authored by Felipe Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felipe Rivas

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