Ian Lawrence

2.0k citations
31 papers · 791 · h-index 15

Impact in

Papers in

Ian Lawrence

29 papers receiving 750 citations

Peers

Ian Lawrence
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 398
  • Cardiology and Cardiovascular Medicine 120
  • Genetics 127
  • Physiology 99
  • Pharmacy 14
Replace Eun-Gyong Yoo with:
Eun-Gyong Yoo South Korea
M Vanelli Italy
E. van Ballegooie Netherlands
Claudia Brufani Italy
Marisa Desimone United States
W.A.W. Walters Australia
Annette Barnie Canada
Ayla Güven Türkiye
Paolo Cavarzere Italy
Julia Robertson Australia
Ian Lawrence relative to Eun-Gyong Yoo South Korea Eun-Gyong Yoo's profile →
Citations per field
00.5×3.1×
Eun-Gyong Yoo · 1×
Citations per year

Countries citing papers authored by Ian Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by Ian Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012187
2 199576
3 201054
4 199747
5 200642
6 200141
7 199437
8 201136
9 199934
10 199733
11 201131
12 199530
13 200925
14 199419
15 201018
16 200214
17 201113
18 200713
19 20178
20 20016

About Ian Lawrence

Ian Lawrence is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology and Physiology, having authored 31 papers that have together received 791 indexed citations. Recurring topics across this work include Diabetes Management and Research (6 papers), Diabetes Treatment and Management (5 papers), Heart Rate Variability and Autonomic Control (4 papers), Cardiovascular Function and Risk Factors (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Cardiovascular Syncope and Autonomic Disorders (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (398 citations), Cardiology and Cardiovascular Medicine (120 citations), Genetics (127 citations), Physiology (99 citations) and Pharmacy (14 citations). Ian Lawrence has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Melanie J. Davies, H. Thurston, A C Burden, Simon Heller, David Hopkins, Peter Mansell, Stephanie A. Amiel, Michael J. Campbell, Michael Bennett and Paul G. McNally. Their work appears in journals such as Diabetic Medicine, Diabetologia, Postgraduate Medical Journal, Diabetes Obesity and Metabolism and Diabetes Research and Clinical Practice.

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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