Iacob Mathiesen

2.8k citations
38 papers · 2.2k · h-index 23

Impact in

  • Biotechnology top 0.5%
    • Microbial Inactivation Methods
    • Transgenic Plants and Applications
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Toxin Mechanisms and Immunotoxins

Papers in

    • Ion channel regulation and function 4
    • RNA Interference and Gene Delivery 4
    • Microbial Inactivation Methods 15
    • Transgenic Plants and Applications 11

Iacob Mathiesen

37 papers receiving 2.1k citations

Peers

Iacob Mathiesen
Comparison fields: 5 of 99
  • Biotechnology 732
  • Immunology 783
  • Virology 96
  • Molecular Biology 897
  • Hepatology 101
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Iacob Mathiesen relative to James Chambers Japan James Chambers's profile →
Citations per field
00.5×9.0×
James Chambers · 1×
Citations per year

Countries citing papers authored by Iacob Mathiesen

Since Specialization
Citations

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

Fields of papers citing papers by Iacob Mathiesen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999307
2 1999268
3 1993216
4 2007154
5 2009128
6 2007108
7 200895
8 200584
9 200478
10 201277
11 200376
12 201362
13 200456
14 200551
15 199749
16 200445
17 200332
18 200532
19 200532
20 199725

About Iacob Mathiesen

Iacob Mathiesen is a scholar working on Molecular Biology, Biotechnology, Surgery, Immunology and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 2.2k indexed citations. Recurring topics across this work include Microbial Inactivation Methods (15 papers), Transgenic Plants and Applications (11 papers), Peripheral Artery Disease Management (8 papers), Immunotherapy and Immune Responses (5 papers), Diagnosis and Treatment of Venous Diseases (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Ion channel regulation and function (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Biotechnology (732 citations), Immunology (783 citations), Virology (96 citations), Molecular Biology (897 citations) and Hepatology (101 citations). Iacob Mathiesen has collaborated with scholars based in Norway, United States and United Kingdom. Frequent co-authors include Torunn Elisabeth Tjelle, Edvard I Moser, P. Andersen, Rune Kjeken, Freda K. Stevenson, Terje Lømo, Dan H. Barouch, Jinyan Liu, Christian H. Ottensmeier and Elena Fattori. Their work appears in journals such as The Journal of Gene Medicine, Vaccine, Molecular Therapy, Journal of Virology and The Journal of Immunology.

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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