Jürgen Markl
- Immunology top 1%
- Molecular Biology top 5%
- Cell Biology top 1%
- Ecology top 2%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- J. Robin HarrisBernhard LiebWolfgang GebauerBernt LinzenChristos GatsogiannisBenjamin AltenheinWerner W. FrankeHeinz Decker
- Topics
- Invertebrate Immune Response Mechanisms (55 papers)Neurobiology and Insect Physiology Research (26 papers)Physiological and biochemical adaptations (17 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Jürgen Markl
116 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 130
- Immunology 1.7k
- Molecular Biology 1.3k
- Cell Biology 1.0k
- Ecology 899
- Cellular and Molecular Neuroscience 789
Countries citing papers authored by Jürgen Markl
This map shows the geographic impact of Jürgen Markl'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 Jürgen Markl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jürgen Markl more than expected).
Fields of papers citing papers by Jürgen Markl
This network shows the impact of papers produced by Jürgen Markl. 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 Jürgen Markl. The network helps show where Jürgen Markl may publish in the future.
Co-authorship network of co-authors of Jürgen Markl
This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Markl. A scholar is included among the top collaborators of Jürgen Markl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jürgen Markl. Jürgen Markl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 29 | |
| 3 | 24 | |
| 4 | 34 | |
| 5 | 50 | |
| 6 | 7 | |
| 7 | 12 | |
| 8 | 4 | |
| 9 | 29 | |
| 10 | 76 | |
| 11 | 22 | |
| 12 | 11 | |
| 13 | 2 | |
| 14 | 29 | |
| 15 | 15 | |
| 16 | 29 | |
| 17 | 25 | |
| 18 | 6 | |
| 19 | Hemocyanins in spiders, XI. The quaternary structure of Cupiennius hemocyanin | 17 |
| 20 | Hemocyanins in spiders, VIII. Oxygen affinity of the individual subunits isolated from Eurypelma californicum hemocyanin. | 9 |
About Jürgen Markl
Jürgen Markl is a scholar working on Immunology, Cell Biology and Cellular and Molecular Neuroscience, having authored 117 papers that have together received 3.9k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (55 papers), Neurobiology and Insect Physiology Research (26 papers) and Physiological and biochemical adaptations (17 papers). The work is most often cited by research in Immunology (1.7k citations), Cell Biology (1.0k citations) and Structural Biology (85 citations). Jürgen Markl has collaborated with scholars based in Germany, United States and France. Frequent co-authors include J. Robin Harris, Bernhard Lieb, Wolfgang Gebauer, Bernt Linzen, Christos Gatsogiannis, Benjamin Altenhein, Werner W. Franke, Heinz Decker, Thorsten Burmester and Walter SCHARTAU. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.