Nico Hunzelmann
About
In The Last Decade
Nico Hunzelmann
5 papers receiving 134 citations
Peers
Comparison fields: 5 of 43
- Pathology and Forensic Medicine 50
- Molecular Biology 47
- Genetics 34
- Immunology 26
- Cell Biology 25
Countries citing papers authored by Nico Hunzelmann
This map shows the geographic impact of Nico Hunzelmann'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 Nico Hunzelmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nico Hunzelmann more than expected).
Fields of papers citing papers by Nico Hunzelmann
This network shows the impact of papers produced by Nico Hunzelmann. 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 Nico Hunzelmann. The network helps show where Nico Hunzelmann may publish in the future.
Co-authorship network of co-authors of Nico Hunzelmann
This figure shows the co-authorship network connecting the top 25 collaborators of Nico Hunzelmann. A scholar is included among the top collaborators of Nico Hunzelmann 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 Nico Hunzelmann. Nico Hunzelmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 57 | |
| 3 | No association between systemic sclerosis and C77G polymorphism in the human PTPRC (CD45) gene. | 6 |
| 4 | 25 | |
| 5 | 22 |
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.