Iain Turnbull

5.3k citations
21 papers · 810 indexed · 1 hit paper · h-index 13
Topics
Liver Disease Diagnosis and Treatment (7 papers)Acute Ischemic Stroke Management (5 papers)Diet, Metabolism, and Disease (3 papers)

In The Last Decade

Iain Turnbull

18 papers receiving 803 citations

Hit Papers

Association Between Diabetes and Cause-Specific Mortality...20172026202020232017100200300

Peers

Iain Turnbull
Comparison fields: 5 of 102
  • Epidemiology 333
  • Endocrinology, Diabetes and Metabolism 262
  • Cardiology and Cardiovascular Medicine 129
  • Molecular Biology 127
  • Surgery 106
Replace Tomoko Nakagami with:
Tomoko Nakagami Japan
Devinder S. Dhindsa United States
Ie Byung Park South Korea
Jee‐Jeon Yi South Korea
Valeria Manicardi Italy
Eun Young Lee South Korea
Aytekin Oğuz Türkiye
Mostafa Mousavizadeh Iran
Zbigniew Gaciong Poland
Iain Turnbull relative to Tomoko Nakagami Japan Tomoko Nakagami's profile →
Citations per field
00.5×2.7×
Tomoko Nakagami · 1×
Citations per year

Countries citing papers authored by Iain Turnbull

Since Specialization
Citations

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

Fields of papers citing papers by Iain Turnbull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iain Turnbull

This figure shows the co-authorship network connecting the top 25 collaborators of Iain Turnbull. A scholar is included among the top collaborators of Iain Turnbull based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Iain Turnbull. Iain Turnbull is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 0
4 5
5 15
6 7
7 22
8 15
9 15
10 31
11 37
12 1
13 28
14 26
15 26
16 0
17 28
18 51
19 122
20 12

About Iain Turnbull

Iain Turnbull is a scholar working on Epidemiology, Neurology and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 810 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Acute Ischemic Stroke Management (5 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (262 citations), Epidemiology (333 citations) and Hepatology (60 citations). Iain Turnbull has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Zhengming Chen, Yiping Chen, Canqing Yu, Liming Li, Ling Yang, Robert Clarke, Zheng Bian, Michael V. Holmes, Junshi Chen and Fiona Bragg. Their work appears in journals such as JAMA, American Journal of Clinical Nutrition and Hepatology.

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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