Ian McDowell

2.4k citations
44 papers · 1.9k indexed · h-index 24

Impact in

Papers in

Ian McDowell

40 papers receiving 1.8k citations

Peers

Ian McDowell
Comparison fields: 5 of 100
  • Rheumatology 1.0k
  • Clinical Biochemistry 149
  • Obstetrics and Gynecology 168
  • Biochemistry 86
  • Hematology 143
Replace Olaf Stanger with:
Olaf Stanger Austria
Stanley Heydrick United States
Derek Lang United Kingdom
Øyvind Bleie Norway
Suzanne Lussier‐Cacan Canada
Giovanni Faccini Italy
Yvette Lolin United Kingdom
Turgay İşbir Türkiye
Brian M. Gilfix Canada
Robert Wever Netherlands
Ian McDowell relative to Olaf Stanger Austria Olaf Stanger's profile →
Citations per field
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Olaf Stanger · 1×
Citations per year

Countries citing papers authored by Ian McDowell

Since Specialization
Citations

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

Fields of papers citing papers by Ian McDowell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202327
2 20184
3 20160
4 201596
5 200528
6 2004204
7 20043
8 200413
9 200322
10 200352
11 200329
12 200129
13 200152
14 2000110
15 2000114
16 1998292
17 199451
18 19937
19
Apolipoprotein E phenotype determined by agarose gel electrofocusing and immunoblotting.
198940
20 198226

About Ian McDowell

Ian McDowell is a scholar working on Rheumatology, Obstetrics and Gynecology, Surgery, Clinical Biochemistry and Cancer Research, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Folate and B Vitamins Research (24 papers), Esophageal and GI Pathology (12 papers), Lipoproteins and Cardiovascular Health (10 papers), Pregnancy and preeclampsia studies (4 papers), Cancer, Lipids, and Metabolism (4 papers), Glycosylation and Glycoproteins Research (2 papers), Neurological Complications and Syndromes (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Rheumatology (1.0k citations), Clinical Biochemistry (149 citations), Obstetrics and Gynecology (168 citations), Biochemistry (86 citations) and Hematology (143 citations). Ian McDowell has collaborated with scholars based in United Kingdom, Australia and Singapore. Frequent co-authors include Malcolm Lewis, Derek Lang, Michael Bellamy, Stuart J. Moat, Robert G. Newcombe, Jonathan Goodfellow, M W Ramsey, Pauline Ashfield‐Watt, Josep Vidal‐Alaball and Christopher Butler. Their work appears in journals such as Atherosclerosis, European Journal of Clinical Nutrition, Atherosclerosis Supplements, Journal of Inherited Metabolic Disease and Journal of Clinical Pathology.

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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