Beth M. Stadtmueller
Impact in
- Virology top 10%
- HIV Research and Treatment
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Glycosylation and Glycoproteins Research 4
- Ubiquitin and proteasome pathways 3
- RNA and protein synthesis mechanisms 2
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- Galectins and Cancer Biology 3
- Invertebrate Immune Response Mechanisms 2
- Co-authors
- Christopher P. Hill (4 shared papers)Kathryn E. Huey‐Tubman (4 shared papers)Pamela J. Björkman (3 shared papers)Wayne L. Hubbell (3 shared papers)Zhongyu Yang (2 shared papers)David G. Myszka (2 shared papers)Katherine Ferrell (2 shared papers)Howard Robinson (2 shared papers)
- Journals
- Nature Communications (3 papers)Journal of Biological Chemistry (2 papers)The Journal of Immunology (2 papers)eLife (2 papers)Journal of Virology (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Beth M. Stadtmueller
14 papers receiving 575 citations
Peers
Comparison fields: 5 of 72
- Virology 49
- Cell Biology 144
- Immunology 123
- Molecular Biology 395
- Infectious Diseases 74
Countries citing papers authored by Beth M. Stadtmueller
This map shows the geographic impact of Beth M. Stadtmueller'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 Beth M. Stadtmueller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth M. Stadtmueller more than expected).
Fields of papers citing papers by Beth M. Stadtmueller
This network shows the impact of papers produced by Beth M. Stadtmueller. 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 Beth M. Stadtmueller. The network helps show where Beth M. Stadtmueller may publish in the future.
Co-authors
The 25 scholars most cited alongside Beth M. Stadtmueller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 215 | |
| 2 | 2016 | 74 | |
| 3 | 2018 | 52 | |
| 4 | 2009 | 51 | |
| 5 | 2012 | 51 | |
| 6 | 2020 | 47 | |
| 7 | 2021 | 30 | |
| 8 | 2016 | 17 | |
| 9 | 2023 | 11 | |
| 10 | 2007 | 10 | |
| 11 | 2022 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 4 |
About Beth M. Stadtmueller
Beth M. Stadtmueller is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 579 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Galectins and Cancer Biology (3 papers), Ubiquitin and proteasome pathways (3 papers), RNA and protein synthesis mechanisms (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Neonatal and Maternal Infections (2 papers) and Invertebrate Immune Response Mechanisms (2 papers). The work is most often cited by research in Virology (49 citations), Cell Biology (144 citations), Immunology (123 citations), Molecular Biology (395 citations) and Infectious Diseases (74 citations). Beth M. Stadtmueller has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Christopher P. Hill, Kathryn E. Huey‐Tubman, Pamela J. Björkman, Wayne L. Hubbell, Zhongyu Yang, David G. Myszka, Katherine Ferrell, Howard Robinson, Carlos J. López and Frank G. Whitby. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, The Journal of Immunology, eLife and Journal of Virology.
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.