P Lumb

2.3k citations
63 papers · 1.7k · h-index 22

Impact in

Papers in

P Lumb

62 papers receiving 1.6k citations

Peers

P Lumb
Comparison fields: 5 of 113
  • Endocrinology, Diabetes and Metabolism 816
  • Periodontics 178
  • Cardiology and Cardiovascular Medicine 306
  • Reproductive Medicine 89
  • Genetics 294
Replace Steven J. Hurel with:
Steven J. Hurel United Kingdom
Manuel Aguilar‐Diosdado Spain
Cristina Bianchi Italy
Natalie Khuseyinova Germany
Piers R. Blackett United States
Andromachi Vryonidou Greece
Imran Ali Khan Saudi Arabia
Jasper J. van Doormaal Netherlands
Irena Nowak United States
Klelia D. Salpea Greece
P Lumb relative to Steven J. Hurel United Kingdom Steven J. Hurel's profile →
Citations per field
00.5×3.9×
Steven J. Hurel · 1×
Citations per year

Countries citing papers authored by P Lumb

Since Specialization
Citations

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

Fields of papers citing papers by P Lumb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005174
2 2002171
3 2003166
4 1993104
5 200590
6 199364
7 200657
8 200157
9 199955
10 200249
11 200747
12 200347
13
Abnormalities of very low density lipoprotein apolipoprotein B-100 metabolism contribute to the dyslipidaemia of adult growth hormone deficiency.
199744
14 200538
15 199828
16 199427
17 200027
18 200524
19 200024
20 200423

About P Lumb

P Lumb is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Genetics and Molecular Biology, having authored 63 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers), Lipoproteins and Cardiovascular Health (16 papers), Diabetes and associated disorders (13 papers), Lipid metabolism and disorders (11 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Metabolism, Diabetes, and Cancer (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Cancer, Lipids, and Metabolism (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (816 citations), Periodontics (178 citations), Cardiology and Cardiovascular Medicine (306 citations), Reproductive Medicine (89 citations) and Genetics (294 citations). P Lumb has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Martin Crook, Anthony S. Wierzbicki, B M Slavin, P Y Coward, R. F. Wilson, Mark Ide, Nick Finer, Emanuel Christ, Wing May Kong and Danielle B Freedman. Their work appears in journals such as International Journal of Clinical Practice, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Atherosclerosis, Journal of Clinical Pathology and Current Medical Research and Opinion.

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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