Marc Swidergall
Impact in
- Infectious Diseases top 1%
- Antifungal resistance and susceptibility
- Microbiology top 2%
- Antimicrobial Peptides and Activities
Papers in
-
- Antifungal resistance and susceptibility 24
- Epidemiology 16
- Fungal Infections and Studies 16
- Co-authors
- Scott G. Filler (18 shared papers)Norma V. Solis (16 shared papers)Joachim F. Ernst (6 shared papers)Michail S. Lionakis (6 shared papers)Sarah L. Gaffen (3 shared papers)Ashraf S. Ibrahim (6 shared papers)Quynh T. Phan (5 shared papers)Vincent M. Bruno (3 shared papers)
- Journals
- PLoS Pathogens (7 papers)Nature Communications (4 papers)Nature Microbiology (4 papers)mBio (3 papers)Eukaryotic Cell (2 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Marc Swidergall
31 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 91
- Infectious Diseases 911
- Microbiology 182
- Periodontics 100
- Epidemiology 554
- Immunology 216
Countries citing papers authored by Marc Swidergall
This map shows the geographic impact of Marc Swidergall'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 Marc Swidergall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Swidergall more than expected).
Fields of papers citing papers by Marc Swidergall
This network shows the impact of papers produced by Marc Swidergall. 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 Marc Swidergall. The network helps show where Marc Swidergall may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Swidergall, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 138 | |
| 2 | 2014 | 101 | |
| 3 | 2017 | 91 | |
| 4 | 2019 | 85 | |
| 5 | 2020 | 74 | |
| 6 | 2012 | 71 | |
| 7 | 2016 | 69 | |
| 8 | 2021 | 57 | |
| 9 | 2019 | 52 | |
| 10 | 2017 | 51 | |
| 11 | 2018 | 49 | |
| 12 | 2017 | 46 | |
| 13 | 2013 | 43 | |
| 14 | 2021 | 43 | |
| 15 | 2020 | 41 | |
| 16 | 2018 | 40 | |
| 17 | 2022 | 39 | |
| 18 | 2019 | 38 | |
| 19 | 2019 | 38 | |
| 20 | 2022 | 34 |
About Marc Swidergall
Marc Swidergall is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (24 papers), Fungal Infections and Studies (16 papers), Antimicrobial Peptides and Activities (4 papers), Axon Guidance and Neuronal Signaling (3 papers), Immune Response and Inflammation (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Pediatric health and respiratory diseases (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Infectious Diseases (911 citations), Microbiology (182 citations), Periodontics (100 citations), Epidemiology (554 citations) and Immunology (216 citations). Marc Swidergall has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Scott G. Filler, Norma V. Solis, Joachim F. Ernst, Michail S. Lionakis, Sarah L. Gaffen, Ashraf S. Ibrahim, Quynh T. Phan, Vincent M. Bruno, Salomé LeibundGut‐Landmann and Akash Verma. Their work appears in journals such as PLoS Pathogens, Nature Communications, Nature Microbiology, mBio and Eukaryotic 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.