Christian Seidl
- Immunology top 2%
- Oncology top 5%
- Genetics top 5%
- Economics and Econometrics top 2%
- Hematology top 2%
- Co-authors
- Erhard SeifriedTorsten TonnKlaus BadenhoopSalvador BarberàPeter J. HammondGarnet SuckPaulina NowakowskaJ. P. Kaltwasser
- Topics
- T-cell and B-cell Immunology (31 papers)Immune Cell Function and Interaction (29 papers)Diabetes and associated disorders (15 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Christian Seidl
128 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 160
- Immunology 1.2k
- Oncology 689
- Genetics 460
- Economics and Econometrics 440
- Hematology 391
Countries citing papers authored by Christian Seidl
This map shows the geographic impact of Christian Seidl'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 Seidl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Seidl more than expected).
Fields of papers citing papers by Christian Seidl
This network shows the impact of papers produced by Christian Seidl. 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 Seidl. The network helps show where Christian Seidl may publish in the future.
Co-authorship network of co-authors of Christian Seidl
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Seidl. A scholar is included among the top collaborators of Christian Seidl 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 Seidl. Christian Seidl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 71 | |
| 5 | Measurement of tax progression with different income distributions | 1 |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | The Performance of Peer Review and a Beauty Contest of Referee Processes of Economics Journals | 10 |
| 11 | 8 | |
| 12 | Inequality measurement and the leaky-bucket paradox | 7 |
| 13 | 27 | |
| 14 | 4 | |
| 15 | 37 | |
| 16 | 79 | |
| 17 | Bulboduodenitis associated with Helicobacter heilmannii (formerly Gastrospirillum hominis) infection. A rare cause of duodenal ulcer | 1 |
| 18 | Früh-, Mittel-, Spätindogermanisch : Akten der IX. Fachtagung der Indogermanischen Gesellschaft, vom 5. bis 9. Oktober 1992 in Zürich | 7 |
| 19 | Aufsätze zur Tagespolitik | 2 |
| 20 | 1 |
About Christian Seidl
Christian Seidl is a scholar working on General Decision Sciences, Transplantation and Immunology, having authored 138 papers that have together received 2.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (31 papers), Immune Cell Function and Interaction (29 papers) and Diabetes and associated disorders (15 papers). The work is most often cited by research in General Decision Sciences (230 citations), Transplantation (198 citations) and Immunology (1.2k citations). Christian Seidl has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Erhard Seifried, Torsten Tonn, Klaus Badenhoop, Salvador Barberà, Peter J. Hammond, Garnet Suck, Paulina Nowakowska, J. P. Kaltwasser, H. Donner and K. H. Usadel. Their work appears in journals such as New England Journal of Medicine, The Journal of Immunology and PLoS ONE.
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.