Michael Hörtner

773 citations
6 papers · 660 · h-index 6

Impact in

Papers in

    • Cytokine Signaling Pathways and Interactions 4
    • Protein Tyrosine Phosphatases 2
    • Receptor Mechanisms and Signaling 1
    • Protein Kinase Regulation and GTPase Signaling 1

Michael Hörtner

6 papers receiving 650 citations

Peers

Michael Hörtner
Comparison fields: 5 of 76
  • Endocrine and Autonomic Systems 175
  • Oncology 294
  • Biological Psychiatry 25
  • Immunology 214
  • Behavioral Neuroscience 34
Replace Daniel Hochbaum with:
Daniel Hochbaum United States
Hiromasa Ikegami Japan
Yuki Kanda Japan
Sandra Siehler Switzerland
Yvonne Y. Wu United States
Rico K.H. Lo Hong Kong
P.J. Gebicke-Haerter Germany
Sofia Meregalli Italy
Cheryl Marietta United States
Michael Hörtner relative to Daniel Hochbaum United States Daniel Hochbaum's profile →
Citations per field
00.5×4.3×
Daniel Hochbaum · 1×
Citations per year

Countries citing papers authored by Michael Hörtner

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hörtner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2002202
2 2001199
3 2002112
4 200279
5 200157
6 200511

About Michael Hörtner

Michael Hörtner is a scholar working on Oncology, Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Toxicology, having authored 6 papers that have together received 660 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (4 papers), Protein Tyrosine Phosphatases (2 papers), Circadian rhythm and melatonin (1 paper), Pharmacological Effects of Natural Compounds (1 paper), Bioactive Compounds and Antitumor Agents (1 paper), Receptor Mechanisms and Signaling (1 paper), Medicinal Plant Pharmacodynamics Research (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (175 citations), Oncology (294 citations), Biological Psychiatry (25 citations), Immunology (214 citations) and Behavioral Neuroscience (34 citations). Michael Hörtner has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Peter C. Heinrich, Serge Haan, Ulrich Nielsch, Lorenz M. Mayr, Albert Wölfler, I. Rinner, Peter M. Liebmann, Konrad Schauenstein, Jasminka Štefulj and Meenakshi Ghosh. Their work appears in journals such as Journal of Neuroimmunology, The Journal of Immunology, European Journal of Biochemistry, Journal of Pineal Research and Journal of Biological Chemistry.

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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