Danielle E. Lann

963 citations
13 papers · 799 · h-index 9

Impact in

Papers in

Danielle E. Lann

12 papers receiving 775 citations

Peers

Danielle E. Lann
Comparison fields: 5 of 75
  • Endocrinology, Diabetes and Metabolism 235
  • Oncology 135
  • Biological Psychiatry 7
  • Aging 8
  • Cancer Research 51
Replace Phyllis A. Eagan with:
Phyllis A. Eagan United States
Laura A. Villalobos Spain
Garima Singhal United States
Wilson Mejía United States
Yuedan Zhou Sweden
Tomoyuki Yamasaki Japan
Shinji Susa Japan
Craig L. Doig United Kingdom
Stefania Iiritano Italy
Richard Reneland Sweden
Danielle E. Lann relative to Phyllis A. Eagan United States Phyllis A. Eagan's profile →
Citations per field
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Phyllis A. Eagan · 1×
Citations per year

Countries citing papers authored by Danielle E. Lann

Since Specialization
Citations

This map shows the geographic impact of Danielle E. 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 E. 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 E. Lann more than expected).

Fields of papers citing papers by Danielle E. Lann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle E. 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 E. Lann. The network helps show where Danielle E. Lann may publish in the future.

Co-authors

The 25 scholars most cited alongside Danielle E. Lann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danielle E. Lann Line = papers co-authored together Danielle E. Lann links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2010239
2 2007190
3 2008108
4 200894
5 200865
6 201037
7 200922
8 200917
9
Insulin resistance and the metabolic syndrome.
200816
10 20136
11 20204
12
Resistencia a la insulina como causa subyacente del síndrome metabólico
20071
13 20250

About Danielle E. Lann

Danielle E. Lann is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Nephrology, Epidemiology and Reproductive Medicine, having authored 13 papers that have together received 799 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Polyomavirus and related diseases (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Parathyroid Disorders and Treatments (1 paper) and Lipid metabolism and disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (235 citations), Oncology (135 citations), Biological Psychiatry (7 citations), Aging (8 citations) and Cancer Research (51 citations). Danielle E. Lann has collaborated with scholars based in United States. Frequent co-authors include Derek LeRoith, Derek LeRoith, Shoshana Yakar, Ruslan Novosyadlyy, Archana Vijayakumar, Naamit Kurshan, Teresa L. Wood, Deborah A. Lazzarino, Derek LeRoith and Yvonne Fierz. Their work appears in journals such as Endocrinology, Experimental and Clinical Endocrinology & Diabetes, Journal of Mammary Gland Biology and Neoplasia, Cell Death and Differentiation and Medical Clinics of North America.

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.

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