Isabel Marques

737 citations
27 papers · 415 · h-index 10

Impact in

Papers in

    • COVID-19 and healthcare impacts 5
    • Surgical Simulation and Training 2
    • Enhanced Recovery After Surgery 2

Isabel Marques

26 papers receiving 408 citations

Peers

Isabel Marques
Comparison fields: 5 of 83
  • Health Informatics 6
  • General Health Professions 86
  • Health 15
  • Surgery 70
  • Public Health, Environmental and Occupational Health 43
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Citations per field
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Citations per year

Countries citing papers authored by Isabel Marques

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Marques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020121
2 202062
3 202148
4 201841
5 202228
6 202021
7 202117
8 201915
9 202014
10 202112
11 20229
12 20227
13 20223
14 20222
15 20202
16
Genetic characterization of warfarin sensitivity in a population of cardiovascular patients on chronic anticoagulation.
20102
17 20212
18 20161
19 20241
20 20211

About Isabel Marques

Isabel Marques is a scholar working on Oncology, Surgery, General Health Professions, Public Health, Environmental and Occupational Health and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 415 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (5 papers), Telemedicine and Telehealth Implementation (3 papers), Health Literacy and Information Accessibility (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Surgical Simulation and Training (2 papers), Patient Satisfaction in Healthcare (2 papers), Nutrition and Health in Aging (2 papers) and Enhanced Recovery After Surgery (2 papers). The work is most often cited by research in Health Informatics (6 citations), General Health Professions (86 citations), Health (15 citations), Surgery (70 citations) and Public Health, Environmental and Occupational Health (43 citations). Isabel Marques has collaborated with scholars based in United States, Portugal and Brazil. Frequent co-authors include Daniel I. Chu, Mona N. Fouad, Lauren M. Theiss, Isabel C. Scarinci, Connie Shao, Tyler S. Wahl, Selwyn M. Vickers, Terry C. Davis, Samantha Baker and Chandler McLeod. Their work appears in journals such as The American Journal of Surgery, Journal of the American College of Surgeons, The American Surgeon, Inflammatory Bowel Diseases and Annals of Surgery.

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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