Frida Rivera‐Buendía

533 total citations
20 papers, 331 citations indexed

About

Frida Rivera‐Buendía is a scholar working on Oncology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Frida Rivera‐Buendía has authored 20 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Epidemiology and 6 papers in Infectious Diseases. Recurrent topics in Frida Rivera‐Buendía's work include COVID-19 and healthcare impacts (6 papers), Congenital Heart Disease Studies (4 papers) and Antibiotic Resistance in Bacteria (3 papers). Frida Rivera‐Buendía is often cited by papers focused on COVID-19 and healthcare impacts (6 papers), Congenital Heart Disease Studies (4 papers) and Antibiotic Resistance in Bacteria (3 papers). Frida Rivera‐Buendía collaborates with scholars based in Mexico, United States and United Kingdom. Frida Rivera‐Buendía's co-authors include L. Silvia Muñoz-Price, Nathan A. Ledeboer, Cameron G. Gmehlin, Adriana Perez, Ann B. Nattinger, Liliana E. Pezzin, Ryan Hanson, Siddhartha Singh, Blake W. Buchan and Patricia Volkow-Fernández and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Frida Rivera‐Buendía

19 papers receiving 324 citations

Peers

Frida Rivera‐Buendía
Comparison fields: 5 of 77
  • Oncology 95
  • Infectious Diseases 87
  • Clinical Psychology 68
  • General Health Professions 62
  • Health 54
Replace Preethi Sundararaman with:
Preethi Sundararaman United States
Madelyn Pearson United States
Sarah L. Silverberg Canada
Casey N. Pinto United States
Fabrizio Gemmi Italy
Holly Wild Australia
Xurxo Hervada Spain
Alvaro Schwalb Peru
Gabriela Pereira Vidal Brazil
Scarlett Georges France
Preethi Sundararaman United States View profile →
Citations per field, relative to Frida Rivera‐Buendía
Frida Rivera‐Buendía · 1×
Citations per year, relative to Frida Rivera‐Buendía
Frida Rivera‐Buendía · 1×

Countries citing papers authored by Frida Rivera‐Buendía

Since Specialization
Citations

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

Fields of papers citing papers by Frida Rivera‐Buendía

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frida Rivera‐Buendía

This figure shows the co-authorship network connecting the top 25 collaborators of Frida Rivera‐Buendía. A scholar is included among the top collaborators of Frida Rivera‐Buendía 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 Frida Rivera‐Buendía. Frida Rivera‐Buendía is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 1
4 2
5 2
6 11
7 1
8 2
9 3
10 1
11 1
12 5
13 3
14
SARS-CoV-2 Cycle Thresholds, Poverty, Race, and Clinical Outcomes.
0
15 1
16 3
17 38
18 2
19 247
20 5

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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