Bárbara Rivera

2.9k citations
55 papers · 2.2k · h-index 23

Impact in

    • Ovarian cancer diagnosis and treatment
  • Genetics top 5%
    • BRCA gene mutations in cancer
    • Glioma Diagnosis and Treatment

Papers in

Bárbara Rivera

51 papers receiving 2.2k citations

Peers

Bárbara Rivera
Comparison fields: 5 of 56
  • Reproductive Medicine 226
  • Genetics 185
  • Pathology and Forensic Medicine 356
  • Genetics 495
  • Cancer Research 194
Replace Xiao-Ping Zhou with:
Xiao-Ping Zhou United States
Nelly Sabbaghian Canada
Marine Guillaud-Bataille France
Tom G.W. Letteboer Netherlands
Trisha Dwight Australia
Stefania Scarpino Italy
Margaret A. Ponder United Kingdom
Stina Roth Finland
Daniela Vivenza Italy
Xiaohua Qian United States
Bárbara Rivera relative to Xiao-Ping Zhou United States Xiao-Ping Zhou's profile →
Citations per field
00.5×5×10×14.2×
Xiao-Ping Zhou · 1×
Citations per year

Countries citing papers authored by Bárbara Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Bárbara Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bárbara Rivera, 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 Bárbara Rivera Line = papers co-authored together Bárbara Rivera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014392
2 2015156
3 2016147
4 2015131
5 2020131
6 2019129
7 2020123
8 201575
9 201373
10 201571
11 201864
12 201949
13 201946
14 201344
15 202344
16 201840
17 202140
18 201734
19 201732
20 202032

About Bárbara Rivera

Bárbara Rivera is a scholar working on Genetics, Pathology and Forensic Medicine, Cancer Research, Genetics and Neurology, having authored 55 papers that have together received 2.2k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (14 papers), Genetic factors in colorectal cancer (10 papers), Genomics and Rare Diseases (7 papers), Neurofibromatosis and Schwannoma Cases (5 papers), Glioma Diagnosis and Treatment (5 papers), MicroRNA in disease regulation (5 papers), Congenital Diaphragmatic Hernia Studies (5 papers) and Ovarian cancer diagnosis and treatment (4 papers). The work is most often cited by research in Reproductive Medicine (226 citations), Genetics (185 citations), Pathology and Forensic Medicine (356 citations), Genetics (495 citations) and Cancer Research (194 citations). Bárbara Rivera has collaborated with scholars based in Canada, Spain and United States. Frequent co-authors include William David Foulkes, Anne‐Sophie Chong, Javier J. Benitez, Miguel Urioste, Ester Castellsagué, Léon C.L.T. van Kempen, Yuri E. Nikiforov, José Perea, Leanne de Kock and Marc Robert Fabian. Their work appears in journals such as Acta Neuropathologica, Journal of Medical Genetics, New England Journal of Medicine, Human Mutation and Nature Genetics.

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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