Eva M. Riedmann
Impact in
- Microbiology top 5%
- Microbial infections and disease research
- Endocrinology top 5%
Papers in
- Epidemiology 18
- Hepatitis B Virus Studies 8
- Influenza Virus Research Studies 6
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- vaccines and immunoinformatics approaches 5
- Co-authors
- Werner Lubitz (6 shared papers)Jochen C. Hartner (1 shared paper)Michael F. Jantsch (1 shared paper)Allan W. Cripps (3 shared papers)Jennelle M. Kyd (3 shared papers)Katri Jalava (2 shared papers)Francis O. Eko (1 shared paper)Christoph Haller (1 shared paper)
- Journals
- Human Vaccines & Immunotherapeutics (24 papers)Human Vaccines (12 papers)RNA Biology (4 papers)Expert Review of Vaccines (2 papers)Gut Microbes (1 paper)
- Partner nations
- United StatesAustriaRussia
In The Last Decade
Eva M. Riedmann
53 papers receiving 778 citations
Peers
Comparison fields: 5 of 100
- Microbiology 103
- Endocrinology 68
- Health 62
- Immunology 152
- Biotechnology 63
Countries citing papers authored by Eva M. Riedmann
This map shows the geographic impact of Eva M. Riedmann'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 Eva M. Riedmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva M. Riedmann more than expected).
Fields of papers citing papers by Eva M. Riedmann
This network shows the impact of papers produced by Eva M. Riedmann. 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 Eva M. Riedmann. The network helps show where Eva M. Riedmann may publish in the future.
Co-authors
The 15 scholars most cited alongside Eva M. Riedmann, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 172 | |
| 2 | 2008 | 124 | |
| 3 | 2005 | 101 | |
| 4 | 2003 | 70 | |
| 5 | 2007 | 68 | |
| 6 | 2012 | 39 | |
| 7 | 2010 | 34 | |
| 8 | 2003 | 29 | |
| 9 | 2001 | 28 | |
| 10 | 2011 | 16 | |
| 11 | 2010 | 14 | |
| 12 | 2010 | 11 | |
| 13 | 2014 | 11 | |
| 14 | Chinese biotech partnership brings first hepatitis E vaccine to the market. | 2012 | 10 |
| 15 | 2010 | 6 | |
| 16 | CDX-1401 combined with TLR agonist: positive phase 1 results. | 2012 | 6 |
| 17 | 2012 | 5 | |
| 18 | 2014 | 5 | |
| 19 | 2013 | 4 | |
| 20 | 2014 | 4 |
About Eva M. Riedmann
Eva M. Riedmann is a scholar working on Epidemiology, Molecular Biology, Immunology, Infectious Diseases and Health, having authored 57 papers that have together received 807 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (8 papers), Influenza Virus Research Studies (6 papers), Vaccine Coverage and Hesitancy (6 papers), vaccines and immunoinformatics approaches (5 papers), Bacteriophages and microbial interactions (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Immunotherapy and Immune Responses (4 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Microbiology (103 citations), Endocrinology (68 citations), Health (62 citations), Immunology (152 citations) and Biotechnology (63 citations). Eva M. Riedmann has collaborated with scholars based in United States, Austria and Russia. Frequent co-authors include Werner Lubitz, Jochen C. Hartner, Michael F. Jantsch, Allan W. Cripps, Jennelle M. Kyd, Katri Jalava, Francis O. Eko, Christoph Haller, Gail Hecht and Ulrike Beate Mayr. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Human Vaccines, RNA Biology, Expert Review of Vaccines and Gut Microbes.
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.