Marc Baumann
Impact in
- Physiology top 1%
- Alzheimer's disease research and treatments
- Lysosomal Storage Disorders Research
- Neurology top 1%
- Cerebrovascular and genetic disorders
Papers in
-
- Mitochondrial Function and Pathology 12
- Amyloidosis: Diagnosis, Treatment, Outcomes 11
- Glycosylation and Glycoproteins Research 9
- Physiology 38
- Lysosomal Storage Disorders Research 17
- Alzheimer's disease research and treatments 14
- Co-authors
- Jaana Tyynelä (17 shared papers)Matti Haltia (15 shared papers)Claudio Soto (2 shared papers)Martti Koivusalo (2 shared papers)Lasse Uotila (1 shared paper)Mark S. Kindy (1 shared paper)Blas Frangione (1 shared paper)Rabah Soliymani (27 shared papers)
- Journals
- Biochemical Journal (7 papers)FEBS Letters (7 papers)PROTEOMICS (5 papers)PLoS ONE (3 papers)Infection and Immunity (3 papers)
- Partner nations
- FinlandUnited StatesGermany
In The Last Decade
Marc Baumann
170 papers receiving 6.2k citations
Marc Baumann's Hit Papers
Peers
Comparison fields: 5 of 163
- Physiology 1.5k
- Neurology 696
- Neurology 369
- Clinical Biochemistry 289
- Molecular Biology 2.9k
Countries citing papers authored by Marc Baumann
This map shows the geographic impact of Marc Baumann'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 Baumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Baumann more than expected).
Fields of papers citing papers by Marc Baumann
This network shows the impact of papers produced by Marc Baumann. 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 Baumann. The network helps show where Marc Baumann may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Baumann, 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 173 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Protein misfolding in neurodegenerative diseases: implications and strategies Hit paper breakdown → | 2017 | 476 |
| 2 | 1996 | 387 | |
| 3 | 1989 | 293 | |
| 4 | 2011 | 227 | |
| 5 | 1993 | 182 | |
| 6 | 2008 | 158 | |
| 7 | 1993 | 146 | |
| 8 | 2009 | 143 | |
| 9 | 2014 | 138 | |
| 10 | 2003 | 132 | |
| 11 | 1992 | 121 | |
| 12 | 1991 | 116 | |
| 13 | 1990 | 112 | |
| 14 | 2004 | 103 | |
| 15 | 2007 | 96 | |
| 16 | 1990 | 92 | |
| 17 | 2010 | 90 | |
| 18 | 2008 | 80 | |
| 19 | 1997 | 76 | |
| 20 | 1996 | 76 |
About Marc Baumann
Marc Baumann is a scholar working on Molecular Biology, Physiology, Spectroscopy, Neurology and Cell Biology, having authored 173 papers that have together received 6.3k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (17 papers), Advanced Proteomics Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (15 papers), Alzheimer's disease research and treatments (14 papers), Mitochondrial Function and Pathology (12 papers), Cerebrovascular and genetic disorders (11 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (11 papers) and Glycosylation and Glycoproteins Research (9 papers). The work is most often cited by research in Physiology (1.5k citations), Neurology (696 citations), Neurology (369 citations), Clinical Biochemistry (289 citations) and Molecular Biology (2.9k citations). Marc Baumann has collaborated with scholars based in Finland, United States and Germany. Frequent co-authors include Jaana Tyynelä, Matti Haltia, Claudio Soto, Martti Koivusalo, Lasse Uotila, Mark S. Kindy, Blas Frangione, Rabah Soliymani, Hannu Kalimo and Maciej Łałowski. Their work appears in journals such as Biochemical Journal, FEBS Letters, PROTEOMICS, PLoS ONE and Infection and Immunity.
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.