Ursula Neumann
Impact in
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- Regulation of Appetite and Obesity
- Hepatology top 10%
Papers in
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- Regulation of Appetite and Obesity 8
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- Liver Disease Diagnosis and Treatment 4
- Adipokines, Inflammation, and Metabolic Diseases 3
- Co-authors
- Timothy J. Kieffer (9 shared papers)Dominik Heider (8 shared papers)Anna M. D'souza (1 shared paper)Maria M. Glavas (1 shared paper)Scott D. Covey (6 shared papers)Diego M. López (2 shared papers)Frank K. Huynh (2 shared papers)Ali Canbay (5 shared papers)
- Journals
- BioData Mining (3 papers)Molecular Metabolism (3 papers)Endocrinology (2 papers)PLoS ONE (2 papers)Medicine (1 paper)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Ursula Neumann
22 papers receiving 698 citations
Peers
Comparison fields: 5 of 124
- Endocrine and Autonomic Systems 174
- Hepatology 57
- Physiology 184
- Endocrinology, Diabetes and Metabolism 112
- Health Information Management 29
Countries citing papers authored by Ursula Neumann
This map shows the geographic impact of Ursula 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 Ursula Neumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ursula Neumann more than expected).
Fields of papers citing papers by Ursula Neumann
This network shows the impact of papers produced by Ursula 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 Ursula Neumann. The network helps show where Ursula Neumann may publish in the future.
Co-authors
The 25 scholars most cited alongside Ursula 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 146 | |
| 2 | 2017 | 68 | |
| 3 | 2012 | 64 | |
| 4 | 2010 | 62 | |
| 5 | 2021 | 58 | |
| 6 | 2019 | 51 | |
| 7 | 2016 | 41 | |
| 8 | 2021 | 31 | |
| 9 | 2017 | 26 | |
| 10 | 2016 | 24 | |
| 11 | 2016 | 24 | |
| 12 | 2015 | 22 | |
| 13 | 2015 | 22 | |
| 14 | 2016 | 19 | |
| 15 | 2014 | 19 | |
| 16 | 2019 | 17 | |
| 17 | 2018 | 10 | |
| 18 | Schulbildung für Kinder aus Minderheiten in Deutschland 1989-1999 | 2001 | 2 |
| 19 | 2018 | 2 | |
| 20 | Zusammenarbeit mit Eltern in interkultureller Perspektive | 2012 | 1 |
About Ursula Neumann
Ursula Neumann is a scholar working on Endocrine and Autonomic Systems, Epidemiology, Surgery, Molecular Biology and Artificial Intelligence, having authored 24 papers that have together received 711 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (8 papers), Pancreatic function and diabetes (4 papers), Biochemical Analysis and Sensing Techniques (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Adipose Tissue and Metabolism (3 papers), Sociology and Education Studies (3 papers), Machine Learning and Data Classification (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (174 citations), Hepatology (57 citations), Physiology (184 citations), Endocrinology, Diabetes and Metabolism (112 citations) and Health Information Management (29 citations). Ursula Neumann has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Timothy J. Kieffer, Dominik Heider, Anna M. D'souza, Maria M. Glavas, Scott D. Covey, Diego M. López, Frank K. Huynh, Ali Canbay, Jan‐Peter Sowa and Julia Kälsch. Their work appears in journals such as BioData Mining, Molecular Metabolism, Endocrinology, PLoS ONE and Medicine.
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.