Ivan Diers

470 citations
13 papers · 393 · h-index 10

Impact in

Papers in

    • Fungal and yeast genetics research 6
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Studies on Chitinases and Chitosanases 2
    • Glycosylation and Glycoproteins Research 1
    • Enzyme Production and Characterization 4
    • Transgenic Plants and Applications 2

Ivan Diers

13 papers receiving 377 citations

Peers

Ivan Diers
Comparison fields: 5 of 54
  • Endocrine and Autonomic Systems 100
  • Biotechnology 74
  • Nutrition and Dietetics 60
  • Molecular Biology 215
  • Behavioral Neuroscience 10
Replace Michi Egel‐Mitani with:
Michi Egel‐Mitani Denmark
В. Б. Садовников Russia
Manfred Vogel Germany
Friedhelm Feth Germany
Amalia Sapag Chile
Norma Oviedo Mexico
Jeffrey L. Mooney United States
Claude Dal Farra France
SS Rothman
Mustapha Moussaif United States
Ivan Diers relative to Michi Egel‐Mitani Denmark Michi Egel‐Mitani's profile →
Citations per field
00.5×2.6×
Michi Egel‐Mitani · 1×
Citations per year

Countries citing papers authored by Ivan Diers

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Diers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1998125
2 200259
3 199142
4 200127
5 199627
6 200025
7 199724
8 198717
9 199616
10 199814
11 19989
12
Aprotinin and aprotinin analogues expressed in yeast.
19907
13 19981

About Ivan Diers

Ivan Diers is a scholar working on Molecular Biology, Biotechnology, Biomedical Engineering, Immunology and Organic Chemistry, having authored 13 papers that have together received 393 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (6 papers), Biofuel production and bioconversion (5 papers), Enzyme Production and Characterization (4 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Transgenic Plants and Applications (2 papers), Studies on Chitinases and Chitosanases (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (100 citations), Biotechnology (74 citations), Nutrition and Dietetics (60 citations), Molecular Biology (215 citations) and Behavioral Neuroscience (10 citations). Ivan Diers has collaborated with scholars based in Denmark, Chile and Spain. Frequent co-authors include Asser S. Andersen, Sven Hastrup, Michi Egel‐Mitani, Thomas Kjeldsen, Lars Thim, Per F. Nielsen, Martin E. Judge, Morten Hach, Per Balschmidt and Kim Hansen. Their work appears in journals such as Biotechnology and Bioengineering, Biotechnology and Genetic Engineering Reviews, Biotechnology and Applied Biochemistry, Protein Expression and Purification and Journal of Bacteriology.

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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