Daniel Mayer
Impact in
- Immunology top 5%
- Complement system in diseases
- interferon and immune responses
- Virology top 5%
Papers in
- Immunology 14
- Complement system in diseases 5
- Co-authors
- Louis H. Miller (6 shared papers)Martin Schwemmle (6 shared papers)Deepak Gaur (1 shared paper)Marion E. Reid (2 shared papers)Osamu Kaneko (2 shared papers)Geoffrey P. Chase (3 shared papers)Leslie Anne Leinwand (1 shared paper)Adolfo García‐Sastre (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Journal of Wildlife Diseases (2 papers)Nature Communications (2 papers)PLoS ONE (2 papers)ACS Chemical Biology (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Daniel Mayer
55 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 122
- Immunology 618
- Virology 131
- Parasitology 165
- Public Health, Environmental and Occupational Health 674
- Microbiology 125
Countries citing papers authored by Daniel Mayer
This map shows the geographic impact of Daniel Mayer'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 Daniel Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mayer more than expected).
Fields of papers citing papers by Daniel Mayer
This network shows the impact of papers produced by Daniel Mayer. 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 Daniel Mayer. The network helps show where Daniel Mayer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Mayer, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 192 | |
| 2 | 2004 | 189 | |
| 3 | 2001 | 143 | |
| 4 | 2008 | 125 | |
| 5 | 2009 | 119 | |
| 6 | 2007 | 118 | |
| 7 | 2019 | 94 | |
| 8 | 2002 | 89 | |
| 9 | 2004 | 86 | |
| 10 | 2009 | 79 | |
| 11 | 1997 | 76 | |
| 12 | 2005 | 72 | |
| 13 | 2012 | 60 | |
| 14 | 2003 | 60 | |
| 15 | 2015 | 56 | |
| 16 | 1995 | 56 | |
| 17 | 2006 | 53 | |
| 18 | 2003 | 37 | |
| 19 | 2013 | 35 | |
| 20 | 1997 | 33 |
About Daniel Mayer
Daniel Mayer is a scholar working on Immunology, Microbiology, Parasitology, Public Health, Environmental and Occupational Health and Epidemiology, having authored 55 papers that have together received 2.3k indexed citations. Recurring topics across this work include Malaria Research and Control (10 papers), RNA and protein synthesis mechanisms (6 papers), Mosquito-borne diseases and control (6 papers), Influenza Virus Research Studies (5 papers), Complement system in diseases (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Receptor Mechanisms and Signaling (5 papers) and Herpesvirus Infections and Treatments (4 papers). The work is most often cited by research in Immunology (618 citations), Virology (131 citations), Parasitology (165 citations), Public Health, Environmental and Occupational Health (674 citations) and Microbiology (125 citations). Daniel Mayer has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Louis H. Miller, Martin Schwemmle, Deepak Gaur, Marion E. Reid, Osamu Kaneko, Geoffrey P. Chase, Leslie Anne Leinwand, Adolfo García‐Sastre, Alexander Ghanem and Xin‐zhuan Su. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Wildlife Diseases, Nature Communications, PLoS ONE and ACS Chemical Biology.
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.