Ulf Neumann
Impact in
- Physiology top 1%
- Alzheimer's disease research and treatments
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Chemical Synthesis and Analysis 12
- Protein Structure and Dynamics 7
- Physiology 33
- Alzheimer's disease research and treatments 31
- Co-authors
- Michael Gütschow (8 shared papers)Matthias Staufenbiel (18 shared papers)Derya R. Shimshek (16 shared papers)Jean‐Michel Rondeau (12 shared papers)Rainer Machauer (12 shared papers)Marina Tintelnot‐Blomley (12 shared papers)David Leppert (2 shared papers)Anne-Lise Jaton (4 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (9 papers)Alzheimer s & Dementia (8 papers)Journal of Medicinal Chemistry (8 papers)Clinical Chemistry (4 papers)Analytical Biochemistry (3 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Ulf Neumann
99 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 131
- Physiology 1.3k
- Neurology 357
- Biological Psychiatry 88
- Pharmacology 513
- Computational Theory and Mathematics 470
Countries citing papers authored by Ulf Neumann
This map shows the geographic impact of Ulf Neumann'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 Ulf Neumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulf Neumann more than expected).
Fields of papers citing papers by Ulf Neumann
This network shows the impact of papers produced by Ulf Neumann. 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 Ulf Neumann. The network helps show where Ulf Neumann may publish in the future.
Co-authors
The 25 scholars most cited alongside Ulf Neumann, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 300 | |
| 2 | 2005 | 286 | |
| 3 | 2019 | 157 | |
| 4 | 2004 | 144 | |
| 5 | 2017 | 119 | |
| 6 | 2010 | 117 | |
| 7 | 2015 | 111 | |
| 8 | 2017 | 100 | |
| 9 | 2015 | 92 | |
| 10 | 2016 | 84 | |
| 11 | 2012 | 83 | |
| 12 | 1999 | 79 | |
| 13 | 2008 | 77 | |
| 14 | 2006 | 77 | |
| 15 | 2002 | 76 | |
| 16 | 2018 | 72 | |
| 17 | 1985 | 70 | |
| 18 | 2001 | 66 | |
| 19 | 1997 | 65 | |
| 20 | 2005 | 63 |
About Ulf Neumann
Ulf Neumann is a scholar working on Molecular Biology, Physiology, Computational Theory and Mathematics, Pharmacology and Oncology, having authored 100 papers that have together received 3.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (31 papers), Computational Drug Discovery Methods (18 papers), Cholinesterase and Neurodegenerative Diseases (12 papers), Chemical Synthesis and Analysis (12 papers), Drug Transport and Resistance Mechanisms (8 papers), Protein Structure and Dynamics (7 papers), Protease and Inhibitor Mechanisms (6 papers) and Click Chemistry and Applications (5 papers). The work is most often cited by research in Physiology (1.3k citations), Neurology (357 citations), Biological Psychiatry (88 citations), Pharmacology (513 citations) and Computational Theory and Mathematics (470 citations). Ulf Neumann has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Michael Gütschow, Matthias Staufenbiel, Derya R. Shimshek, Jean‐Michel Rondeau, Rainer Machauer, Marina Tintelnot‐Blomley, David Leppert, Anne-Lise Jaton, Heinrich Rueeger and Markus Stoeckli. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Alzheimer s & Dementia, Journal of Medicinal Chemistry, Clinical Chemistry and Analytical Biochemistry.
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.