Georg Gasteiger
- Immunology top 0.5%
- Surgery top 5%
- Oncology top 5%
- Molecular Biology top 10%
- Epidemiology top 5%
- Co-authors
- Alexander Y. RudenskyXiying FanWolfgang KastenmüllerStanislav DikiyTakatoshi ChinenYongqiang FengJoseph C. SunAndrew G. Levine
- Topics
- Immune Cell Function and Interaction (39 papers)T-cell and B-cell Immunology (25 papers)Immunotherapy and Immune Responses (20 papers)
- Cited by
- ImmunologyVirologyOncology
- Journals
- ScienceCellAdvanced Materials
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Georg Gasteiger
60 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology 3.9k
- Surgery 946
- Oncology 889
- Molecular Biology 778
- Epidemiology 642
Countries citing papers authored by Georg Gasteiger
This map shows the geographic impact of Georg Gasteiger'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 Georg Gasteiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Gasteiger more than expected).
Fields of papers citing papers by Georg Gasteiger
This network shows the impact of papers produced by Georg Gasteiger. 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 Georg Gasteiger. The network helps show where Georg Gasteiger may publish in the future.
Co-authorship network of co-authors of Georg Gasteiger
This figure shows the co-authorship network connecting the top 25 collaborators of Georg Gasteiger. A scholar is included among the top collaborators of Georg Gasteiger 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 Georg Gasteiger. Georg Gasteiger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | Mitochondrial dysfunction promotes the transition of precursor to terminally exhausted T cells through HIF-1α-mediated glycolytic reprogrammingbreakdown → | 135 |
| 9 | 17 | |
| 10 | 4 | |
| 11 | 14 | |
| 12 | 69 | |
| 13 | 88 | |
| 14 | 30 | |
| 15 | Tissue residency of innate lymphoid cells in lymphoid and nonlymphoid organsbreakdown → | 619 |
| 16 | 45 | |
| 17 | 439 | |
| 18 | 20 | |
| 19 | 119 | |
| 20 | 90 |
About Georg Gasteiger
Georg Gasteiger is a scholar working on Immunology, Virology and Epidemiology, having authored 63 papers that have together received 5.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (39 papers), T-cell and B-cell Immunology (25 papers) and Immunotherapy and Immune Responses (20 papers). The work is most often cited by research in Immunology (3.9k citations), Virology (200 citations) and Oncology (889 citations). Georg Gasteiger has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Alexander Y. Rudensky, Xiying Fan, Wolfgang Kastenmüller, Stanislav Dikiy, Takatoshi Chinen, Yongqiang Feng, Joseph C. Sun, Andrew G. Levine, Ye Zheng and Arun Kannan. Their work appears in journals such as Science, Cell and Advanced Materials.
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.