Brian K. Rivera

52 papers receiving 1.4k citations

Peers

Brian K. Rivera
Comparison fields: 5 of 103
  • Molecular Medicine 160
  • Cancer Research 198
  • Genetics 135
  • Toxicology 39
  • Pulmonary and Respiratory Medicine 369
Replace Ulrich Beyer with:
Ulrich Beyer Switzerland
Rick W. Keck United States
Helen H.W. Chen Taiwan
Xin Liang China
Émilie Thivat France
Charity D. Scripture United States
Chien-Shing Chen United States
Takeshi Isobe Japan
Gaetano Facchini Italy
Brian K. Rivera relative to Ulrich Beyer Switzerland Ulrich Beyer's profile →
Citations per field
00.5×4.8×
Ulrich Beyer · 1×
Citations per year

Countries citing papers authored by Brian K. Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Brian K. Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009117
2 2009110
3 201492
4 201187
5 201476
6 201076
7 202062
8 201060
9 201760
10 201159
11 201048
12 200943
13 200943
14 200943
15 201839
16 201839
17 201737
18 201036
19 201036
20 201135

About Brian K. Rivera

Brian K. Rivera is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology and Molecular Biology, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (13 papers), Neonatal Respiratory Health Research (12 papers), Congenital Diaphragmatic Hernia Studies (10 papers), Mechanical Circulatory Support Devices (8 papers), Cardiovascular Conditions and Treatments (8 papers), Synthesis and biological activity (6 papers), Electron Spin Resonance Studies (6 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Molecular Medicine (160 citations), Cancer Research (198 citations), Genetics (135 citations), Toxicology (39 citations) and Pulmonary and Respiratory Medicine (369 citations). Brian K. Rivera has collaborated with scholars based in United States, Hungary and United Kingdom. Frequent co-authors include Periannan Kuppusamy, M. Lakshmi Kuppusamy, Karuppaiyah Selvendiran, Kálmán Hideg, Anna Bratasz, Tamás Kálai, Carl H. Backes, Mahmood Khan, Shabnam Ahmed and Jeffrey A. Bridge. Their work appears in journals such as The Journal of Pediatrics, Cancer Biology & Therapy, Advances in experimental medicine and biology, Journal of Perinatology and Free Radical Biology and Medicine.

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.

Explore authors with similar magnitude of impact