Ingo Schmitz
About
In The Last Decade
Ingo Schmitz
107 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 3.3k
- Immunology 1.8k
- Oncology 921
- Epidemiology 768
- Cancer Research 764
Countries citing papers authored by Ingo Schmitz
This map shows the geographic impact of Ingo Schmitz'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 Ingo Schmitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo Schmitz more than expected).
Fields of papers citing papers by Ingo Schmitz
This network shows the impact of papers produced by Ingo Schmitz. 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 Ingo Schmitz. The network helps show where Ingo Schmitz may publish in the future.
Co-authorship network of co-authors of Ingo Schmitz
This figure shows the co-authorship network connecting the top 25 collaborators of Ingo Schmitz. A scholar is included among the top collaborators of Ingo Schmitz 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 Ingo Schmitz. Ingo Schmitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 33 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 38 | |
| 13 | 21 | |
| 14 | 6 | |
| 15 | I kappa B zeta Is a Transcriptional Key Regulator of CCL2/MCP-1 | 3 |
| 16 | 22 | |
| 17 | 72 | |
| 18 | 54 | |
| 19 | 41 | |
| 20 | 109 |
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.