F Lanau
Impact in
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- Growth Hormone and Insulin-like Growth Factors
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- Neurotransmitter Receptor Influence on Behavior
Papers in
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- Metabolism, Diabetes, and Cancer 2
- Retinoids in leukemia and cellular processes 2
- Receptor Mechanisms and Signaling 2
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- Growth Hormone and Insulin-like Growth Factors 4
- Co-authors
- Charles T. Roberts (6 shared papers)Deborah Hartman (2 shared papers)Olivier Civelli (1 shared paper)Marie‐Thérèse Zenner (1 shared paper)Martin L. Adamo (4 shared papers)Derek LeRoith (2 shared papers)Haim Werner (2 shared papers)Derek LeRoith (3 shared papers)
- Journals
- Endocrinology (2 papers)Journal of Neurochemistry (2 papers)Immunogenetics (1 paper)Journal of Clinical Investigation (1 paper)Neurosignals (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
F Lanau
10 papers receiving 449 citations
Peers
Comparison fields: 5 of 73
- Endocrinology, Diabetes and Metabolism 204
- Cellular and Molecular Neuroscience 91
- Cancer Research 61
- Psychiatry and Mental health 53
- Molecular Biology 208
Countries citing papers authored by F Lanau
This map shows the geographic impact of F Lanau'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 F Lanau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F Lanau more than expected).
Fields of papers citing papers by F Lanau
This network shows the impact of papers produced by F Lanau. 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 F Lanau. The network helps show where F Lanau may publish in the future.
Co-authors
The 25 scholars most cited alongside F Lanau, 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 | 1997 | 100 | |
| 2 | 1992 | 93 | |
| 3 | 1992 | 83 | |
| 4 | 1992 | 48 | |
| 5 | 1992 | 34 | |
| 6 | 1990 | 33 | |
| 7 | 1993 | 24 | |
| 8 | Diversity of dopamine receptors: new molecular and pharmacological developments. | 1997 | 17 |
| 9 | 1997 | 14 | |
| 10 | Retinoic acid inhibits growth of breast cancer cell lines: the role of insulin-like growth factor binding proteins. | 1993 | 8 |
About F Lanau
F Lanau is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 10 papers that have together received 454 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Retinoids in leukemia and cellular processes (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Pancreatic function and diabetes (1 paper), Attention Deficit Hyperactivity Disorder (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (204 citations), Cellular and Molecular Neuroscience (91 citations), Cancer Research (61 citations), Psychiatry and Mental health (53 citations) and Molecular Biology (208 citations). F Lanau has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Charles T. Roberts, Deborah Hartman, Olivier Civelli, Marie‐Thérèse Zenner, Martin L. Adamo, Derek LeRoith, Haim Werner, Derek LeRoith, D R Clemmons and Joshua Shemer. Their work appears in journals such as Endocrinology, Journal of Neurochemistry, Immunogenetics, Journal of Clinical Investigation and Neurosignals.
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.