Heidi E. Quist

673 citations
12 papers · 543 · h-index 8

Impact in

Papers in

Heidi E. Quist

12 papers receiving 514 citations

Peers

Heidi E. Quist
Comparison fields: 5 of 72
  • Cardiology and Cardiovascular Medicine 296
  • Radiology, Nuclear Medicine and Imaging 112
  • Cellular and Molecular Neuroscience 82
  • Internal Medicine 14
  • Complementary and alternative medicine 18
Replace Kjell Vikenes with:
Kjell Vikenes Norway
Niyazi Güler Türkiye
Isac C. Thomas United States
Daniele Massera United States
Wilhelm F. Lubbe New Zealand
Alejandro de la Rosa Spain
Santosh Kumar Padala United States
Tamaki Hayashi Japan
Cristina Florescu Romania
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Citations per year

Countries citing papers authored by Heidi E. Quist

Since Specialization
Citations

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

Fields of papers citing papers by Heidi E. Quist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heidi E. Quist. 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 Heidi E. Quist. The network helps show where Heidi E. Quist may publish in the future.

Co-authors

The 10 scholars most cited alongside Heidi E. Quist, 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 Heidi E. Quist Line = papers co-authored together Heidi E. Quist links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2003255
2 2002138
3 199567
4 199620
5 201819
6 199811
7 200410
8 20048
9 20236
10 20236
11 20232
12
Cardiac troponin measurements for risk stratification in acute coronary syndrome patients using 99th percentile limits for eight assays
20031

About Heidi E. Quist

Heidi E. Quist is a scholar working on Psychiatry and Mental health, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, General Health Professions and Pharmacology, having authored 12 papers that have together received 543 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (5 papers), Neuropeptides and Animal Physiology (3 papers), Receptor Mechanisms and Signaling (3 papers), Empathy and Medical Education (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Cardiovascular Effects of Exercise (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Interprofessional Education and Collaboration (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (296 citations), Radiology, Nuclear Medicine and Imaging (112 citations), Cellular and Molecular Neuroscience (82 citations), Internal Medicine (14 citations) and Complementary and alternative medicine (18 citations). Heidi E. Quist has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Fred S. Apple, MaryAnn M Murakami, Patrick J. Doyle, Burt M. Sharp, KRISTIN M. LINNER, Wendy E. Mathews, Andrew S. Tseng, Fadi Elias Shamoun, Aram S. Mardian and Philip S. Portoghese. Their work appears in journals such as Clinical Chemistry, Archives of Pathology & Laboratory Medicine, European Journal of Pharmacology, Frontiers in Medicine and The Journal of Immunology.

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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