E Gjone

6.1k citations
187 papers · 4.9k · h-index 39

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 41
    • Lipoproteins and Cardiovascular Health 38
    • Liver Disease Diagnosis and Treatment 31
    • Microscopic Colitis 16

E Gjone

177 papers receiving 4.3k citations

Peers

E Gjone
Comparison fields: 5 of 113
  • Hepatology 750
  • Endocrinology, Diabetes and Metabolism 964
  • Surgery 2.5k
  • Biochemistry 357
  • Epidemiology 1.4k
Replace Seiki Matsuno with:
Seiki Matsuno Japan
Kyuichi Tanikawa Japan
Gary C. Kanel United States
Hitoshi Kohno Japan
Jean‐Michel Fabre France
Gerald Klatskin United States
Sum P. Lee United States
Ann Driessen Belgium
Carolin Lackner Austria
Martin Wagner Austria
E Gjone relative to Seiki Matsuno Japan Seiki Matsuno's profile →
Citations per field
00.5×3.0×
Seiki Matsuno · 1×
Citations per year

Countries citing papers authored by E Gjone

Since Specialization
Citations

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

Fields of papers citing papers by E Gjone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 187 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967220
2 1987216
3 1980154
4 1978118
5 1968116
6 1973107
7 1969100
8 197599
9 198087
10 198186
11 198283
12 198682
13 197679
14 197678
15 197077
16 197868
17 198567
18 196866
19 197263
20 198463

About E Gjone

E Gjone is a scholar working on Surgery, Epidemiology, Genetics, Hepatology and Molecular Biology, having authored 187 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (41 papers), Lipoproteins and Cardiovascular Health (38 papers), Liver Disease Diagnosis and Treatment (31 papers), Inflammatory Bowel Disease (20 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Cancer, Lipids, and Metabolism (19 papers), Microscopic Colitis (16 papers) and Lipid metabolism and biosynthesis (13 papers). The work is most often cited by research in Hepatology (750 citations), Endocrinology, Diabetes and Metabolism (964 citations), Surgery (2.5k citations), Biochemistry (357 citations) and Epidemiology (1.4k citations). E Gjone has collaborated with scholars based in Norway, United States and India. Frequent co-authors include Kaare R. Norum, J. P. Blomhoff, O. Fausa, K. Elgjo, S Ritland, E. Schrumpf, A Flatmark, P. Teisberg, Harald Torsvik and B Fretheim. Their work appears in journals such as Scandinavian Journal of Gastroenterology, Scandinavian Journal of Clinical and Laboratory Investigation, Clinica Chimica Acta, Journal of Lipid Research and The Lancet.

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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