Robert Pachlinger

427 citations
11 papers · 363 · h-index 7

Impact in

    • Fungal and yeast genetics research
    • Glycosylation and Glycoproteins Research
    • Microbial Natural Products and Biosynthesis

Papers in

    • Hemophilia Treatment and Research 2
    • Blood Coagulation and Thrombosis Mechanisms 2
    • Fungal and yeast genetics research 5
    • CRISPR and Genetic Engineering 1
    • Glycosylation and Glycoproteins Research 1

Robert Pachlinger

10 papers receiving 357 citations

Peers

Robert Pachlinger
Comparison fields: 5 of 25
  • Molecular Biology 229
  • Pharmacology 34
  • Hematology 30
  • Biotechnology 12
  • Plant Science 69
Replace Andreas Küberl with:
Andreas Küberl Germany
Romeo Lascaris Netherlands
Gaëlle Lettier Denmark
Ulrike Weydemann Germany
Stéphane Demais France
Sandra Bloemendal Germany
Elizabeth Verkamp United States
Jens Solsbacher Germany
Vincent W. Wu United States
Konstantin S. Vassilenko Russia
Robert Pachlinger relative to Andreas Küberl Germany Andreas Küberl's profile →
Citations per field
00.5×2×3×4×5×
Andreas Küberl · 1×
Citations per year

Countries citing papers authored by Robert Pachlinger

Since Specialization
Citations

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

Fields of papers citing papers by Robert Pachlinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 200586
2 201078
3 200668
4 200746
5 200540
6 201228
7 20188
8 20247
9 20151
10 20241
11 20240

About Robert Pachlinger

Robert Pachlinger is a scholar working on Hematology, Molecular Biology, Genetics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 11 papers that have together received 363 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), Virus-based gene therapy research (3 papers), Hemophilia Treatment and Research (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), CRISPR and Genetic Engineering (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Molecular Biology (229 citations), Pharmacology (34 citations), Hematology (30 citations), Biotechnology (12 citations) and Plant Science (69 citations). Robert Pachlinger has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Joseph Strauss, Harald Berger, Andreas Gallmetzer, Sabine Strauss-Goller, Igor Y. Morozov, Frank M. Narendja, Mark X. Caddick, Gerhard Adam, Rudolf Mitterbauer and Harald Berger. Their work appears in journals such as Blood, Applied and Environmental Microbiology, Molecular Microbiology, International Journal of Molecular Sciences and Molecular Therapy — Methods & Clinical Development.

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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