Christian Kis
About
In The Last Decade
Christian Kis
2 papers receiving 586 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Molecular Biology 313
- Oncology 275
- Cancer Research 180
- Pathology and Forensic Medicine 150
- Pulmonary and Respiratory Medicine 142
Countries citing papers authored by Christian Kis
This map shows the geographic impact of Christian Kis'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 Christian Kis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Kis more than expected).
Fields of papers citing papers by Christian Kis
This network shows the impact of papers produced by Christian Kis. 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 Christian Kis. The network helps show where Christian Kis may publish in the future.
Co-authorship network of co-authors of Christian Kis
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Kis. A scholar is included among the top collaborators of Christian Kis 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 Christian Kis. Christian Kis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Experimentally Derived Metastasis Gene Expression Profile Predicts Recurrence and Death in Patients With Colon Cancer breakdown → | 562 |
| 2 | 28 |
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.