David Saggerson

825 citations
26 papers · 699 · h-index 13

Impact in

Papers in

David Saggerson

26 papers receiving 677 citations

Peers

David Saggerson
Comparison fields: 5 of 73
  • Clinical Biochemistry 132
  • Biochemistry 115
  • Physiology 202
  • Geriatrics and Gerontology 24
  • Endocrinology, Diabetes and Metabolism 116
Replace L. Hue with:
L. Hue Belgium
Heather W. Collins United States
Zhongmin Alex United States
Brian M. Wiczer United States
Jovan Kuzmicic Chile
M. Anello Italy
Habiba Najafi United States
J S Zhu United States
J H Exton United States
Blanka Holendová Czechia
David Saggerson relative to L. Hue Belgium L. Hue's profile →
Citations per field
00.5×1.5×2.2×
L. Hue · 1×
Citations per year

Countries citing papers authored by David Saggerson

Since Specialization
Citations

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

Fields of papers citing papers by David Saggerson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside David Saggerson, 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 David Saggerson Line = papers co-authored together David Saggerson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008227
2 200485
3 197762
4 197753
5 199246
6 198632
7 199122
8 198920
9 199120
10 201216
11 197516
12 198313
13 201112
14 199512
15 201110
16 19919
17 19828
18 19927
19 19916
20 19925

About David Saggerson

David Saggerson is a scholar working on Molecular Biology, Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Biochemistry and Surgery, having authored 26 papers that have together received 699 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (9 papers), Mitochondrial Function and Pathology (9 papers), Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (5 papers), Adipose Tissue and Metabolism (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Clinical Biochemistry (132 citations), Biochemistry (115 citations), Physiology (202 citations), Geriatrics and Gerontology (24 citations) and Endocrinology, Diabetes and Metabolism (116 citations). David Saggerson has collaborated with scholars based in United Kingdom, Sweden and Australia. Frequent co-authors include Edna J. Bates, Iraj Ghadiminejad, David Carling, Muhammad Uzair Awan, Peter A. Mayes, Michael Orford, David L. Topping, Katina Chatzipanteli, Graeme Milligan and Peter Hope. Their work appears in journals such as FEBS Letters, Biochemical Journal, Bioscience Reports, Biochemical Society Transactions and Hormone and Metabolic Research.

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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