N. J. Morrish

1.8k citations
10 papers · 1.4k · 1 hit paper · h-index 8

Impact in

Papers in

N. J. Morrish

9 papers receiving 1.3k citations

N. J. Morrish's Hit Papers

Mortality and causes of death in the WHO multinational study of vascular disease in diabetes 2001 · 950 citations
9500+8+16Years since publication250500750

Peers

N. J. Morrish
Comparison fields: 5 of 107
  • Endocrinology, Diabetes and Metabolism 810
  • Cardiology and Cardiovascular Medicine 459
  • Nephrology 89
  • Clinical Biochemistry 56
  • Epidemiology 213
Replace Lynda Stevens with:
Lynda Stevens United Kingdom
John R. Erbey United States
Chul Sik Kim South Korea
Janusz Gumprecht Poland
P. T. Sawicki Germany
Jørgen Jeppesen Denmark
Kazuhiko Hirobe Russia
Ruth L. Coleman United Kingdom
Catherine H. Tuck United States
Gideon Bahn United States
N. J. Morrish relative to Lynda Stevens United Kingdom Lynda Stevens's profile →
Citations per field
00.5×1.5×
Lynda Stevens · 1×
Citations per year

Countries citing papers authored by N. J. Morrish

Since Specialization
Citations

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

Fields of papers citing papers by N. J. Morrish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. J. Morrish. 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 N. J. Morrish. The network helps show where N. J. Morrish may publish in the future.

Co-authors

The 20 scholars most cited alongside N. J. Morrish, 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 N. J. Morrish Line = papers co-authored together N. J. Morrish links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Mortality and causes of death in the WHO multinational study of vascular disease in diabetes
Hit paper breakdown →
2001950
2 1990151
3 199178
4 199070
5 199149
6 200232
7 201715
8 198913
9 19913
10 19880

About N. J. Morrish

N. J. Morrish is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery, Pediatrics, Perinatology and Child Health and Urology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Cardiovascular Function and Risk Factors (4 papers), Diabetes Management and Research (3 papers), Bariatric Surgery and Outcomes (2 papers), ECG Monitoring and Analysis (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Congenital gastrointestinal and neural anomalies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (810 citations), Cardiology and Cardiovascular Medicine (459 citations), Nephrology (89 citations), Clinical Biochemistry (56 citations) and Epidemiology (213 citations). N. J. Morrish has collaborated with scholars based in United Kingdom. Frequent co-authors include H. Keen, Lynda Stevens, J. H. Fuller, R. J. Jarrett, L. K. Stevens, J. H. Fuller, Jenny Head, Koula Asimakopoulou, Sarah E. Hampson and David Cohen. Their work appears in journals such as Diabetologia, Diabetic Medicine, Prenatal Diagnosis, Diabetes Research and Clinical Practice and BMJ.

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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