I B Squire

1.1k citations
25 papers · 588 · h-index 12

Impact in

    • GDF15 and Related Biomarkers
    • Systemic Lupus Erythematosus Research
    • Heart Failure Treatment and Management
    • Cardiac Fibrosis and Remodeling
    • Acute Myocardial Infarction Research
    • Cardiovascular Function and Risk Factors

Papers in

I B Squire

21 papers receiving 571 citations

Peers

I B Squire
Comparison fields: 5 of 66
  • Rheumatology 204
  • Cardiology and Cardiovascular Medicine 211
  • Immunology 78
  • Physiology 67
  • Hematology 25
Replace J C Kaski with:
J C Kaski United Kingdom
George Markousis‐Mavrogenis Greece
Jane Molloy United Kingdom
Tadashi Shinohara Japan
Yasuo Inoue Japan
Ferhan Özmen Türkiye
Cinzia Fatini Italy
J.-L. Dubois-Randé France
Tian Hai Koh Singapore
Tatiana Reitblat Israel
I B Squire relative to J C Kaski United Kingdom J C Kaski's profile →
Citations per field
00.5×3.3×
J C Kaski · 1×
Citations per year

Countries citing papers authored by I B Squire

Since Specialization
Citations

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

Fields of papers citing papers by I B Squire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I B Squire. 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 I B Squire. The network helps show where I B Squire may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009174
2 199485
3 200062
4 201052
5 199632
6 199932
7 200031
8 199923
9 199320
10 199518
11 201117
12 199414
13 20076
14
Growth differentiation factor 15 as a prognostic marker in patients with acute myocardial infarction
20095
15 20104
16 20164
17 19943
18 20202
19 20131
20
Slow-release delivery systems.
19921

About I B Squire

I B Squire is a scholar working on Cardiology and Cardiovascular Medicine, Rheumatology, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 25 papers that have together received 588 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (9 papers), Cardiovascular Function and Risk Factors (3 papers), GDF15 and Related Biomarkers (3 papers), Cardiac Health and Mental Health (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Acute Ischemic Stroke Management (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). The work is most often cited by research in Rheumatology (204 citations), Cardiology and Cardiovascular Medicine (211 citations), Immunology (78 citations), Physiology (67 citations) and Hematology (25 citations). I B Squire has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Leong L. Ng, Joan E. Davies, Suneel Talwar, Onkar S. Dhillon, Kelvin Ng, SQ Khan, P. Quinn, W H Alwan, R O'Brien and Paul Downie. Their work appears in journals such as Clinical Science, European Heart Journal, Heart, Heart Failure Reviews and Journal of Neurology Neurosurgery & Psychiatry.

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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