Fátima Franco

4.2k citations
58 papers · 1.6k indexed · h-index 13

Fátima Franco

50 papers receiving 1.6k citations

Peers

Fátima Franco
Comparison fields: 5 of 99
  • Cardiology and Cardiovascular Medicine 1.0k
  • Radiology, Nuclear Medicine and Imaging 330
  • Critical Care and Intensive Care Medicine 65
  • Physiology 321
  • Aging 20
Replace Katsuya Onishi with:
Katsuya Onishi Japan
Yüng-Zu Tseng Taiwan
Camillo Autore Italy
Hisashi Masugata Japan
Beatrijs Bartelds Netherlands
Maria Angela Losi Italy
Robert A. Quaife United States
Hyun Ju Yoon South Korea
José R. Matos‐Souza Brazil
Jonathan Byrne United Kingdom
Fátima Franco relative to Katsuya Onishi Japan Katsuya Onishi's profile →
Citations per field
00.5×
Katsuya Onishi · 1×
Citations per year

Countries citing papers authored by Fátima Franco

Since Specialization
Citations

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

Fields of papers citing papers by Fátima Franco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20230
3 20225
4 20212
5 20213
6 20210
7 202110
8 20214
9 20202
10 202019
11 20194
12 20153
13 201415
14 20121
15 200614
16 200528
17 20047
18 200468
19 199863
20 1998175

About Fátima Franco

Fátima Franco is a scholar working on Cardiology and Cardiovascular Medicine, Transplantation and Endocrinology, Diabetes and Metabolism, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (21 papers), Cardiovascular Function and Risk Factors (10 papers), Viral Infections and Immunology Research (8 papers), Diabetes Treatment and Management (7 papers), Cardiac pacing and defibrillation studies (6 papers), Cardiac Structural Anomalies and Repair (6 papers), Transplantation: Methods and Outcomes (6 papers) and Cardiac Imaging and Diagnostics (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Radiology, Nuclear Medicine and Imaging (330 citations) and Critical Care and Intensive Care Medicine (65 citations). Fátima Franco has collaborated with scholars based in Portugal, United States and Italy. Frequent co-authors include Ronald M. Peshock, Debora D. Bryant, Brett P. Giroir, Marita Thompson, James A. Richardson, John M. Shelton, Lisa Becker, Paul Grayburn, Ali M. Kizilbash and Benjamin D. Levine. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

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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