N E Huseby

521 citations
18 papers · 446 · h-index 11

Impact in

    • Sulfur Compounds in Biology
  • Hematology top 10%
    • Blood Coagulation and Thrombosis Mechanisms
    • Hemophilia Treatment and Research
    • Platelet Disorders and Treatments

Papers in

N E Huseby

18 papers receiving 426 citations

Peers

N E Huseby
Comparison fields: 5 of 67
  • Biochemistry 85
  • Hematology 102
  • Internal Medicine 17
  • Pathology and Forensic Medicine 77
  • Endocrinology, Diabetes and Metabolism 61
Replace Saori Yamada with:
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Simona Stivala Switzerland
Yinghong Zhu China
R. Scherer Germany
M Ayrault-Jarrier France
Taketo Shimoyama Japan
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N E Huseby relative to Saori Yamada Japan Saori Yamada's profile →
Citations per field
00.5×5.7×
Saori Yamada · 1×
Citations per year

Countries citing papers authored by N E Huseby

Since Specialization
Citations

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

Fields of papers citing papers by N E Huseby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 199483
2 197472
3 199751
4 198250
5 200132
6 199730
7 199822
8 199821
9 198220
10 199114
11 199113
12 201310
13
Clearance of different multiple forms of human gamma-glutamyltransferase.
19908
14 19907
15 19935
16 19904
17 20033
18 20081

About N E Huseby

N E Huseby is a scholar working on Epidemiology, Molecular Biology, Biochemistry, Pathology and Forensic Medicine and Surgery, having authored 18 papers that have together received 446 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Sulfur Compounds in Biology (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Folate and B Vitamins Research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Alcoholism and Thiamine Deficiency (2 papers) and Blood properties and coagulation (2 papers). The work is most often cited by research in Biochemistry (85 citations), Hematology (102 citations), Internal Medicine (17 citations), Pathology and Forensic Medicine (77 citations) and Endocrinology, Diabetes and Metabolism (61 citations). N E Huseby has collaborated with scholars based in Norway, Singapore and United States. Frequent co-authors include J H Strømme, Arne Nordøy, Odd Nilssen, Birgit Svensson, Per Morten Sandset, Mirella Ezban, John‐Bjarne Hansen, I. Pettersen, M M Galteau and Sandrine Daubeuf. Their work appears in journals such as Clinical Chemistry, Scandinavian Journal of Clinical and Laboratory Investigation, Alcohol and Alcoholism, Clinica Chimica Acta and Thrombosis 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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