Walter Schmidt
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Microbiology top 5%
Papers in
-
- RNA Interference and Gene Delivery 5
- DNA and Nucleic Acid Chemistry 4
- Immunology 11
- Immunotherapy and Immune Responses 11
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 4
- Co-authors
- Fritz Eckstein (4 shared papers)Jon R. Sayers (3 shared papers)Frank Mattner (10 shared papers)Richard Cosstick (1 shared paper)John W. Taylor (1 shared paper)And̀rzej Okruszek (1 shared paper)Achim Schneeberger (9 shared papers)Michael Buschle (7 shared papers)
In The Last Decade
Walter Schmidt
37 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Immunology 381
- Microbiology 80
- Molecular Biology 804
- Neurology 76
- Neurology 118
Countries citing papers authored by Walter Schmidt
This map shows the geographic impact of Walter Schmidt'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 Walter Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter Schmidt more than expected).
Fields of papers citing papers by Walter Schmidt
This network shows the impact of papers produced by Walter Schmidt. 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 Walter Schmidt. The network helps show where Walter Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Walter Schmidt, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 308 | |
| 2 | 1985 | 230 | |
| 3 | 2002 | 173 | |
| 4 | 2015 | 119 | |
| 5 | 2014 | 118 | |
| 6 | 1999 | 64 | |
| 7 | 2000 | 57 | |
| 8 | 1997 | 50 | |
| 9 | 2002 | 48 | |
| 10 | 1997 | 47 | |
| 11 | Vaccination with poly-L-arginine as immunostimulant for peptide vaccines: induction of potent and long-lasting T-cell responses against cancer antigens. | 2002 | 44 |
| 12 | 2010 | 43 | |
| 13 | 1997 | 42 | |
| 14 | 1997 | 37 | |
| 15 | 2015 | 26 | |
| 16 | 2002 | 25 | |
| 17 | 1988 | 22 | |
| 18 | 1993 | 21 | |
| 19 | 1996 | 21 | |
| 20 | 1994 | 18 |
About Walter Schmidt
Walter Schmidt is a scholar working on Molecular Biology, Immunology, Physiology, Genetics and Computational Theory and Mathematics, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), Alzheimer's disease research and treatments (6 papers), Immune Cell Function and Interaction (6 papers), RNA Interference and Gene Delivery (5 papers), Virus-based gene therapy research (5 papers), T-cell and B-cell Immunology (4 papers), Computational Drug Discovery Methods (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Immunology (381 citations), Microbiology (80 citations), Molecular Biology (804 citations), Neurology (76 citations) and Neurology (118 citations). Walter Schmidt has collaborated with scholars based in Austria, Germany and Romania. Frequent co-authors include Fritz Eckstein, Jon R. Sayers, Frank Mattner, Richard Cosstick, John W. Taylor, And̀rzej Okruszek, Achim Schneeberger, Michael Buschle, Wolfgang Zauner and Simona Funar‐Timofei. Their work appears in journals such as Alzheimer s & Dementia, The Journal of Immunology, Dyes and Pigments, Nucleic Acids Research and Proceedings of the National Academy of Sciences.
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.