Thérèse McCall

1.5k citations
12 papers · 1.3k indexed · h-index 9

Impact in

    • Eicosanoids and Hypertension Pharmacology
  • Physiology top 2%
    • Nitric Oxide and Endothelin Effects

Papers in

Thérèse McCall

11 papers receiving 1.2k citations

Peers

Thérèse McCall
Comparison fields: 5 of 97
  • Biochemistry 294
  • Physiology 801
  • Endocrine and Autonomic Systems 114
  • Biophysics 64
  • Immunology 216
Replace Stan S. Greenberg with:
Stan S. Greenberg United States
Anwar R. Baydoun United Kingdom
Dan Ungureanu-Longrois France
Alice Habermeier Germany
Khalid S. Hasan United States
RJ MacAllister United Kingdom
A Carpenter United Kingdom
Jerry A. Smith United Kingdom
Jean‐Vivien Mombouli United States
R. Clinton Webb United States
Thérèse McCall relative to Stan S. Greenberg United States Stan S. Greenberg's profile →
Citations per field
00.5×1.6×
Stan S. Greenberg · 1×
Citations per year

Countries citing papers authored by Thérèse McCall

Since Specialization
Citations

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

Fields of papers citing papers by Thérèse McCall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 20250
2 20106
3 200964
4 199256
5 199221
6 1992151
7 1991224
8 1991136
9 199167
10 198975
11 1989452
12 19861

About Thérèse McCall

Thérèse McCall is a scholar working on Health Informatics, Nutrition and Dietetics, Biochemistry, Physiology and Health Information Management, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (6 papers), Vitamin K Research Studies (2 papers), Diabetes Treatment and Management (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Fatty Acid Research and Health (2 papers), Diabetes Management and Research (2 papers), Cytokine Signaling Pathways and Interactions (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Biochemistry (294 citations), Physiology (801 citations), Endocrine and Autonomic Systems (114 citations), Biophysics (64 citations) and Immunology (216 citations). Thérèse McCall has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Richard Palmer, Salvador Moncada, N. K. Boughton-Smith, B.J.R. Whittle, Patrick Vallance, Martin Feelisch, Jonathan Bloomfield, Donal Peter O’Leary, Craig Wilson and Qais Mekki. Their work appears in journals such as Journal of the American Geriatrics Society, Current Medical Research and Opinion, Journal of Cardiovascular Pharmacology, Alimentary Pharmacology & Therapeutics and Biochemical Journal.

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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