Danielle Lann
Impact in
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- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Growth Hormone and Insulin-like Growth Factors 2
- Diabetes Management and Research 1
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- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Derek LeRoith (3 shared papers)Shoshana Yakar (4 shared papers)Ruslan Novosyadlyy (3 shared papers)Archana Vijayakumar (3 shared papers)Emily J. Gallagher (1 shared paper)Derek LeRoith (2 shared papers)Naamit Kurshan (2 shared papers)Edith Gallagher (1 shared paper)
- Journals
- Journal of Mammary Gland Biology and Neoplasia (1 paper)Cell Death and Differentiation (1 paper)Oncogene (1 paper)Experimental and Clinical Endocrinology & Diabetes (1 paper)Diabetologia (1 paper)
- Partner nations
- United States
In The Last Decade
Danielle Lann
10 papers receiving 526 citations
Peers
Comparison fields: 5 of 74
- Endocrinology, Diabetes and Metabolism 159
- Biological Psychiatry 11
- Cancer Research 66
- Aging 7
- Physiology 86
Countries citing papers authored by Danielle Lann
This map shows the geographic impact of Danielle Lann'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 Danielle Lann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Lann more than expected).
Fields of papers citing papers by Danielle Lann
This network shows the impact of papers produced by Danielle Lann. 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 Danielle Lann. The network helps show where Danielle Lann may publish in the future.
Co-authors
The 21 scholars most cited alongside Danielle Lann, 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 | 2007 | 189 | |
| 2 | 2008 | 107 | |
| 3 | 2008 | 90 | |
| 4 | 2008 | 62 | |
| 5 | 2010 | 37 | |
| 6 | 2009 | 20 | |
| 7 | 2009 | 17 | |
| 8 | Insulin resistance and the metabolic syndrome. | 2008 | 14 |
| 9 | 2020 | 4 | |
| 10 | Resistencia a la insulina como causa subyacente del síndrome metabólico | 2007 | 1 |
| 11 | 2025 | 0 |
About Danielle Lann
Danielle Lann is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Oncology, Epidemiology and Genetics, having authored 11 papers that have together received 541 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Diabetes Management and Research (1 paper), Digestive system and related health (1 paper), Diabetes and associated disorders (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Cancer Risks and Factors (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (159 citations), Biological Psychiatry (11 citations), Cancer Research (66 citations), Aging (7 citations) and Physiology (86 citations). Danielle Lann has collaborated with scholars based in United States. Frequent co-authors include Derek LeRoith, Derek LeRoith, Shoshana Yakar, Ruslan Novosyadlyy, Archana Vijayakumar, Emily J. Gallagher, Derek LeRoith, Naamit Kurshan, Edith Gallagher and Hui Sun. Their work appears in journals such as Journal of Mammary Gland Biology and Neoplasia, Cell Death and Differentiation, Oncogene, Experimental and Clinical Endocrinology & Diabetes and Diabetologia.
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.