M E Speechly-Dick

1.0k citations
16 papers · 806 · h-index 10

Impact in

Papers in

M E Speechly-Dick

15 papers receiving 761 citations

Peers

M E Speechly-Dick
Comparison fields: 5 of 71
  • Developmental Neuroscience 141
  • Pathology and Forensic Medicine 511
  • Emergency Medicine 245
  • Cardiology and Cardiovascular Medicine 228
  • Internal Medicine 18
Replace Isabelle L’Huillier with:
Isabelle L’Huillier France
Ali Dana United Kingdom
Pascal Chiari France
G C Friesinger United States
Joseph Loufoua France
Abdulaziz Alkhulaifi Qatar
H. H. Klein Germany
Todd J. Schmeling United States
Kelvin Lim United Kingdom
Nilgün Gedik Germany
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Citations per field
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Citations per year

Countries citing papers authored by M E Speechly-Dick

Since Specialization
Citations

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

Fields of papers citing papers by M E Speechly-Dick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M E Speechly-Dick. 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 M E Speechly-Dick. The network helps show where M E Speechly-Dick may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1994319
2 1995240
3 199465
4 200935
5 199130
6 199423
7 199223
8 201521
9 200717
10 199213
11 19939
12 19915
13 19903
14 19912
15 19941
16 20130

About M E Speechly-Dick

M E Speechly-Dick is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Surgery, having authored 16 papers that have together received 806 indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (4 papers), Cardiac Ischemia and Reperfusion (3 papers), Cardiac Imaging and Diagnostics (3 papers), Orthopedic Infections and Treatments (2 papers), Infectious Aortic and Vascular Conditions (2 papers), Acute Myocardial Infarction Research (2 papers), Congenital Heart Disease Studies (2 papers) and Parasites and Host Interactions (1 paper). The work is most often cited by research in Developmental Neuroscience (141 citations), Pathology and Forensic Medicine (511 citations), Emergency Medicine (245 citations), Cardiology and Cardiovascular Medicine (228 citations) and Internal Medicine (18 citations). M E Speechly-Dick has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Derek M. Yellon, Mihaela Mocanu, G. J. Grover, Gary F. Baxter, R H Swanton, R A Foale, S. Rimmer, M.E. Hodson, Raymondo Endozo and Peter J. Ell. Their work appears in journals such as Heart, Postgraduate Medical Journal, European Journal of Nuclear Medicine and Molecular Imaging, Circulation Research and European Heart 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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