Alexander Apschner

453 citations
7 papers · 353 · h-index 6

Impact in

  • Cell Biology top 10%
    • Zebrafish Biomedical Research Applications
    • Dermatological and Skeletal Disorders
    • Connective tissue disorders research

Papers in

    • Bone Metabolism and Diseases 3
    • Congenital heart defects research 1
    • Connective tissue disorders research 3
    • Dermatological and Skeletal Disorders 2

Alexander Apschner

6 papers receiving 350 citations

Peers

Alexander Apschner
Comparison fields: 5 of 56
  • Cell Biology 126
  • Genetics 119
  • Rheumatology 58
  • Aquatic Science 23
  • Nephrology 22
Replace Kirsten M. Spoorendonk with:
Kirsten M. Spoorendonk Netherlands
Francesca Tonelli Italy
Charlotte Gistelinck United States
Jan Willem Bek Belgium
Yoshihiko Igarashi Japan
Sudha Mudumana United States
Rodney M. Dale United States
S. Schulte-Merker Netherlands
Sandeep Paul United States
Jennifer Zieba United States
Alexander Apschner relative to Kirsten M. Spoorendonk Netherlands Kirsten M. Spoorendonk's profile →
Citations per field
00.5×1.5×
Kirsten M. Spoorendonk · 1×
Citations per year

Countries citing papers authored by Alexander Apschner

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Apschner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Alexander Apschner, 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 Alexander Apschner Line = papers co-authored together Alexander Apschner links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201286
2 201169
3 201863
4 201453
5 201347
6 201535
7 20240

About Alexander Apschner

Alexander Apschner is a scholar working on Molecular Biology, Genetics, Rheumatology, Cell Biology and Infectious Diseases, having authored 7 papers that have together received 353 indexed citations. Recurring topics across this work include Connective tissue disorders research (3 papers), Bone Metabolism and Diseases (3 papers), Dermatological and Skeletal Disorders (2 papers), Zebrafish Biomedical Research Applications (2 papers), Heterotopic Ossification and Related Conditions (2 papers), Congenital heart defects research (1 paper), MicroRNA in disease regulation (1 paper) and Bone health and treatments (1 paper). The work is most often cited by research in Cell Biology (126 citations), Genetics (119 citations), Rheumatology (58 citations), Aquatic Science (23 citations) and Nephrology (22 citations). Alexander Apschner has collaborated with scholars based in Netherlands, Germany and Switzerland. Frequent co-authors include Stefan Schulte‐Merker, Leonie F. A. Huitema, Eirinn Mackay, P. Eckhard Witten, Ive Logister, Josi Peterson-Maduro, Jeroen Bussmann, Kirsten M. Spoorendonk, Chrissy L. Hammond and Luis G. Morelli. Their work appears in journals such as eLife, Proceedings of the National Academy of Sciences, Journal of Biotechnology, Development and Disease Models & Mechanisms.

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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