Jonathan L. Schmid‐Burgk
- Molecular Biology top 1%
- Immunology top 0.5%
- Infectious Diseases top 2%
- Epidemiology top 5%
- Genetics top 5%
- Co-authors
- Veit HornungTobias SchmidtThomas S. EbertMoritz M. GaidtFeng ZhangDhruv ChauhanAndrea AblasserKira S. Makarova
- Topics
- CRISPR and Genetic Engineering (13 papers)interferon and immune responses (10 papers)Inflammasome and immune disorders (9 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Jonathan L. Schmid‐Burgk
35 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 4.5k
- Immunology 2.5k
- Infectious Diseases 580
- Epidemiology 567
- Genetics 524
Countries citing papers authored by Jonathan L. Schmid‐Burgk
This map shows the geographic impact of Jonathan L. Schmid‐Burgk'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 Jonathan L. Schmid‐Burgk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan L. Schmid‐Burgk more than expected).
Fields of papers citing papers by Jonathan L. Schmid‐Burgk
This network shows the impact of papers produced by Jonathan L. Schmid‐Burgk. 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 Jonathan L. Schmid‐Burgk. The network helps show where Jonathan L. Schmid‐Burgk may publish in the future.
Co-authorship network of co-authors of Jonathan L. Schmid‐Burgk
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan L. Schmid‐Burgk. A scholar is included among the top collaborators of Jonathan L. Schmid‐Burgk 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 Jonathan L. Schmid‐Burgk. Jonathan L. Schmid‐Burgk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | 72 | |
| 3 | 30 | |
| 4 | 6 | |
| 5 | Diverse enzymatic activities mediate antiviral immunity in prokaryotesbreakdown → | 342 |
| 6 | 145 | |
| 7 | RNA-guided DNA insertion with CRISPR-associated transposasesbreakdown → | 455 |
| 8 | 266 | |
| 9 | The DNA Inflammasome in Human Myeloid Cells Is Initiated by a STING-Cell Death Program Upstream of NLRP3breakdown → | 475 |
| 10 | 7 | |
| 11 | 53 | |
| 12 | Human Monocytes Engage an Alternative Inflammasome Pathwaybreakdown → | 591 |
| 13 | 125 | |
| 14 | 112 | |
| 15 | 18 | |
| 16 | 100 | |
| 17 | 199 | |
| 18 | 8 | |
| 19 | Cell intrinsic immunity spreads to bystander cells via the intercellular transfer of cGAMPbreakdown → | 503 |
| 20 | 3 |
About Jonathan L. Schmid‐Burgk
Jonathan L. Schmid‐Burgk is a scholar working on Immunology, Molecular Biology and Genetics, having authored 35 papers that have together received 5.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (13 papers), interferon and immune responses (10 papers) and Inflammasome and immune disorders (9 papers). The work is most often cited by research in Immunology (2.5k citations), Business and International Management (143 citations) and Molecular Biology (4.5k citations). Jonathan L. Schmid‐Burgk has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Veit Hornung, Tobias Schmidt, Thomas S. Ebert, Moritz M. Gaidt, Feng Zhang, Dhruv Chauhan, Andrea Ablasser, Kira S. Makarova, Eugene V. Koonin and Eicke Latz. Their work appears in journals such as Nature, Science and Cell.
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.