S. Forest

998 citations
71 papers · 740 · h-index 15

Impact in

    • Mechanical Circulatory Support Devices
  • Surgery top 10%
    • Transplantation: Methods and Outcomes
    • Cardiac and Coronary Surgery Techniques
    • Surgical Simulation and Training

Papers in

    • Mechanical Circulatory Support Devices 26
    • Transplantation: Methods and Outcomes 19
    • Cardiac and Coronary Surgery Techniques 5
    • Lipoproteins and Cardiovascular Health 2

S. Forest

63 papers receiving 722 citations

Peers

S. Forest
Comparison fields: 5 of 33
  • Biomedical Engineering 315
  • Surgery 234
  • Biochemistry 13
  • Health Informatics 3
  • Cardiology and Cardiovascular Medicine 34
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S. Forest relative to M. Wigger United States M. Wigger's profile →
Citations per field
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M. Wigger · 1×
Citations per year

Countries citing papers authored by S. Forest

Since Specialization
Citations

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

Fields of papers citing papers by S. Forest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201396
2 202166
3 201846
4 201842
5 201239
6 201836
7 202132
8 201430
9 201830
10 201924
11 201523
12 201921
13 202317
14 202016
15 201815
16 201814
17 202013
18 202113
19 201412
20 201510

About S. Forest

S. Forest is a scholar working on Biomedical Engineering, Surgery, Biochemistry, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 71 papers that have together received 740 indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (26 papers), Transplantation: Methods and Outcomes (19 papers), Cardiac and Coronary Surgery Techniques (5 papers), Blood transfusion and management (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Takotsubo Cardiomyopathy and Associated Phenomena (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Biomedical Engineering (315 citations), Surgery (234 citations), Biochemistry (13 citations), Health Informatics (3 citations) and Cardiology and Cardiovascular Medicine (34 citations). S. Forest has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Daniel J. Goldstein, Ulrich P. Jorde, Snehal R. Patel, Omar Saeed, Patricia Friedmann, Shivank Madan, David A. D’Alessandro, Jooyoung Julia Shin, Daniel B. Sims and Xia Yu. Their work appears in journals such as The Journal of Heart and Lung Transplantation, The Annals of Thoracic Surgery, ASAIO Journal, Journal of Cardiothoracic and Vascular Anesthesia and The American Journal of Cardiology.

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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