Jan Schultz
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Biotechnology top 10%
- Microbial Inactivation Methods
Papers in
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- RNA Interference and Gene Delivery 3
- Prion Diseases and Protein Misfolding 2
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- Immunotherapy and Immune Responses 9
- Immune Cell Function and Interaction 4
- Co-authors
- Karin Moelling (11 shared papers)Jovan Pavlovic (10 shared papers)Gregg Siegal (1 shared paper)Eiso AB (1 shared paper)Lucie Heinzerling (4 shared papers)Reinhard Dummer (2 shared papers)Günter Burg (2 shared papers)Lina Elzaouk (2 shared papers)
- Journals
- Human Gene Therapy (3 papers)Journal of Molecular Medicine (2 papers)Experimental Dermatology (2 papers)DNA and Cell Biology (1 paper)Pflügers Archiv - European Journal of Physiology (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Jan Schultz
21 papers receiving 722 citations
Peers
Comparison fields: 5 of 89
- Immunology 207
- Biotechnology 89
- Oncology 141
- Computational Theory and Mathematics 87
- Molecular Biology 282
Countries citing papers authored by Jan Schultz
This map shows the geographic impact of Jan Schultz'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 Jan Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Schultz more than expected).
Fields of papers citing papers by Jan Schultz
This network shows the impact of papers produced by Jan Schultz. 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 Jan Schultz. The network helps show where Jan Schultz may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Schultz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 125 | |
| 2 | 2007 | 117 | |
| 3 | 2001 | 67 | |
| 4 | 2002 | 57 | |
| 5 | 1999 | 56 | |
| 6 | 1996 | 51 | |
| 7 | 2002 | 38 | |
| 8 | 1999 | 34 | |
| 9 | 2004 | 29 | |
| 10 | 2000 | 28 | |
| 11 | 2004 | 25 | |
| 12 | 2000 | 21 | |
| 13 | 2002 | 19 | |
| 14 | 2021 | 19 | |
| 15 | 1999 | 16 | |
| 16 | 2000 | 16 | |
| 17 | 2017 | 14 | |
| 18 | Immune modulation in cancer using DNA inoculation--antitumour effect of interleukin-12. | 2000 | 10 |
| 19 | 2005 | 5 | |
| 20 | 2015 | 3 |
About Jan Schultz
Jan Schultz is a scholar working on Molecular Biology, Immunology, Public Health, Environmental and Occupational Health, Oncology and Computational Theory and Mathematics, having authored 21 papers that have together received 751 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), Immune Cell Function and Interaction (4 papers), RNA Interference and Gene Delivery (3 papers), Alzheimer's disease research and treatments (2 papers), Computational Drug Discovery Methods (2 papers), CAR-T cell therapy research (2 papers), Prion Diseases and Protein Misfolding (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Immunology (207 citations), Biotechnology (89 citations), Oncology (141 citations), Computational Theory and Mathematics (87 citations) and Molecular Biology (282 citations). Jan Schultz has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Karin Moelling, Jovan Pavlovic, Gregg Siegal, Eiso AB, Lucie Heinzerling, Reinhard Dummer, Günter Burg, Lina Elzaouk, Tanja Maier and Patrick A. Oberholzer. Their work appears in journals such as Human Gene Therapy, Journal of Molecular Medicine, Experimental Dermatology, DNA and Cell Biology and Pflügers Archiv - European Journal of Physiology.
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.