Pia D. Vogel
- Structural Biology top 10%
- Oncology top 10%
- Drug Transport and Resistance Mechanisms 15
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- ATP Synthase and ATPases Research 17
- Mitochondrial Function and Pathology 13
- Protein Structure and Dynamics 6
- Photosynthetic Processes and Mechanisms 6
- Biophysics top 10%
- Electron Spin Resonance Studies 5
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- Metalloenzymes and iron-sulfur proteins 6
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- HIV/AIDS drug development and treatment 5
- Co-authors
- John G. WiseCourtney A. FollitAmila K. NanayakkaraKevin G. ChenNoelle S. WilliamsRichard L. CrossWolfgang E. TrommerJohannes Büchner
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (9 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Pia D. Vogel
53 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 115
- Structural Biology 22
- Oncology 310
- Molecular Biology 659
- Behavioral Neuroscience 31
- Biophysics 37
Countries citing papers authored by Pia D. Vogel
This map shows the geographic impact of Pia D. Vogel'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 Pia D. Vogel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pia D. Vogel more than expected).
Fields of papers citing papers by Pia D. Vogel
This network shows the impact of papers produced by Pia D. Vogel. 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 Pia D. Vogel. The network helps show where Pia D. Vogel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pia D. Vogel, 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 | 2025 | 0 | |
| 2 | 2019 | 17 | |
| 3 | 2018 | 224 | |
| 4 | 2017 | 10 | |
| 5 | 2017 | 5 | |
| 6 | 2014 | 25 | |
| 7 | 2010 | 9 | |
| 8 | 2008 | 11 | |
| 9 | 2008 | 3 | |
| 10 | 2008 | 12 | |
| 11 | 2005 | 18 | |
| 12 | 2005 | 21 | |
| 13 | 2004 | 16 | |
| 14 | 2003 | 5 | |
| 15 | 2002 | 3 | |
| 16 | 2001 | 7 | |
| 17 | 2000 | 23 | |
| 18 | 1999 | 26 | |
| 19 | 1997 | 11 | |
| 20 | 1997 | 92 |
About Pia D. Vogel
Pia D. Vogel is a scholar working on Behavioral Neuroscience, Biophysics and Structural Biology, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (17 papers), Drug Transport and Resistance Mechanisms (15 papers), Mitochondrial Function and Pathology (13 papers), Protein Structure and Dynamics (6 papers), Photosynthetic Processes and Mechanisms (6 papers), Metalloenzymes and iron-sulfur proteins (6 papers), HIV/AIDS drug development and treatment (5 papers) and Electron Spin Resonance Studies (5 papers). The work is most often cited by research in Structural Biology (22 citations), Oncology (310 citations) and Molecular Biology (659 citations). Pia D. Vogel has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include John G. Wise, Courtney A. Follit, Amila K. Nanayakkara, Kevin G. Chen, Noelle S. Williams, Richard L. Cross, Wolfgang E. Trommer, Johannes Büchner, Thomas Ritz and Thomas Scheibel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.
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.