Lore Gruenbaum
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
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- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
-
- Receptor Mechanisms and Signaling 2
- Mitochondrial Function and Pathology 2
-
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Thomas Carew (3 shared papers)Hans Bitter (4 shared papers)Diana M. Gilligan (3 shared papers)Marina R. Picciotto (3 shared papers)Daniel J. Chin (4 shared papers)Luanne L. Peters (1 shared paper)Barbara J. Caldarone (1 shared paper)Reiko Maki Fitzsimonds (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Cancer Research (2 papers)CPT Pharmacometrics & Systems Pharmacology (2 papers)Biochemical Pharmacology (1 paper)Hepatology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Lore Gruenbaum
18 papers receiving 437 citations
Peers
Comparison fields: 5 of 98
- Hepatology 102
- Epidemiology 144
- Cellular and Molecular Neuroscience 79
- Immunology 55
- Aging 4
Countries citing papers authored by Lore Gruenbaum
This map shows the geographic impact of Lore Gruenbaum'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 Lore Gruenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lore Gruenbaum more than expected).
Fields of papers citing papers by Lore Gruenbaum
This network shows the impact of papers produced by Lore Gruenbaum. 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 Lore Gruenbaum. The network helps show where Lore Gruenbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside Lore Gruenbaum, 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 | 2013 | 65 | |
| 2 | 2005 | 63 | |
| 3 | 2012 | 44 | |
| 4 | 2012 | 39 | |
| 5 | 2015 | 36 | |
| 6 | 2010 | 36 | |
| 7 | 2021 | 32 | |
| 8 | 2008 | 27 | |
| 9 | 1999 | 24 | |
| 10 | 2014 | 13 | |
| 11 | 2015 | 12 | |
| 12 | 2003 | 12 | |
| 13 | 2003 | 12 | |
| 14 | 2022 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2019 | 1 | |
| 18 | 2019 | 1 |
About Lore Gruenbaum
Lore Gruenbaum is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 18 papers that have together received 442 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), T-cell and B-cell Immunology (2 papers), Receptor Mechanisms and Signaling (2 papers), Immune Cell Function and Interaction (2 papers), Mitochondrial Function and Pathology (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Hepatology (102 citations), Epidemiology (144 citations), Cellular and Molecular Neuroscience (79 citations), Immunology (55 citations) and Aging (4 citations). Lore Gruenbaum has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Thomas Carew, Hans Bitter, Diana M. Gilligan, Marina R. Picciotto, Daniel J. Chin, Luanne L. Peters, Barbara J. Caldarone, Reiko Maki Fitzsimonds, Nii Addy and Yukiko Asaka. Their work appears in journals such as Journal of Neuroscience, Cancer Research, CPT Pharmacometrics & Systems Pharmacology, Biochemical Pharmacology and Hepatology.
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.