Gabriel Sayer

7.7k total citations · 1 hit paper
197 papers, 3.3k citations indexed

About

Gabriel Sayer is a scholar working on Surgery, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gabriel Sayer has authored 197 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Surgery, 110 papers in Biomedical Engineering and 70 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Gabriel Sayer's work include Mechanical Circulatory Support Devices (107 papers), Cardiac Structural Anomalies and Repair (94 papers) and Transplantation: Methods and Outcomes (72 papers). Gabriel Sayer is often cited by papers focused on Mechanical Circulatory Support Devices (107 papers), Cardiac Structural Anomalies and Repair (94 papers) and Transplantation: Methods and Outcomes (72 papers). Gabriel Sayer collaborates with scholars based in United States, Japan and Germany. Gabriel Sayer's co-authors include Nir Uriel, Daniel Burkhoff, Kevin J. Clerkin, J. Fried, Amirali Masoumi, J. Raikhelkar, Deepa Kumaraiah, Allan Schwartz, Sneha S. Jain and LeRoy E. Rabbani and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Gabriel Sayer

175 papers receiving 3.2k citations

Hit Papers

COVID-19 and Cardiovascular Disease 2020 2026 2022 2024 2020 250 500 750 1000

Peers

Gabriel Sayer
Comparison fields: 5 of 126
  • Infectious Diseases 1.3k
  • Cardiology and Cardiovascular Medicine 991
  • Surgery 969
  • Biomedical Engineering 859
  • Neurology 738
Replace J. Fried with:
J. Fried United States
Kevin J. Clerkin United States
Anuradha Lala United States
J. Raikhelkar United States
Amirali Masoumi United States
Jennifer Haythe United States
Mauro Panigada Italy
Marianna Adamo Italy
Matthew A. Levin United States
Farid Foroutan Canada
J. Fried United States View profile →
Citations per field, relative to Gabriel Sayer
Gabriel Sayer · 1×
Citations per year, relative to Gabriel Sayer
Gabriel Sayer · 1×

Countries citing papers authored by Gabriel Sayer

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Sayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Sayer

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Sayer. A scholar is included among the top collaborators of Gabriel Sayer 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 Gabriel Sayer. Gabriel Sayer 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 0
2 0
3 0
4 1
5 1
6 1
7 1
8 1
9 1
10 6
11 1
12 2
13 2
14 1
15 1
16 2
17 2
18 2
19 4
20 21

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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2026