Danielle Lann

663 total citations
10 papers, 512 citations indexed

About

Danielle Lann is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Danielle Lann has authored 10 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Danielle Lann's work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Danielle Lann is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Danielle Lann collaborates with scholars based in United States. Danielle Lann's co-authors include Derek LeRoith, Derek LeRoith, Shoshana Yakar, Archana Vijayakumar, Ruslan Novosyadlyy, Derek LeRoith, Emily J. Gallagher, Naamit Kurshan, Yingjie Wu and Deborah A. Lazzarino and has published in prestigious journals such as Oncogene, Endocrinology and Diabetologia.

In The Last Decade

Danielle Lann

10 papers receiving 500 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Danielle Lann United States	8	212	182	121	110	95	10	512
Yumi Jimbu Japan	16	219 1.0×	158 0.9×	88 0.7×	112 1.0×	63 0.7×	24	566
Diego Fernández‐García Spain	12	157 0.7×	141 0.8×	126 1.0×	163 1.5×	56 0.6×	34	512
Shaonin Ji United States	12	294 1.4×	129 0.7×	49 0.4×	122 1.1×	53 0.6×	14	566
Panwei Mu China	12	177 0.8×	165 0.9×	78 0.6×	71 0.6×	28 0.3×	24	449
Nobuhiko Wada Japan	13	210 1.0×	207 1.1×	302 2.5×	204 1.9×	77 0.8×	26	671
S. Renee Commerford United States	14	222 1.0×	119 0.7×	164 1.4×	257 2.3×	69 0.7×	17	697
Wenjuan Di China	14	228 1.1×	93 0.5×	135 1.1×	250 2.3×	39 0.4×	26	579
Francesco Massimo Perla Italy	13	128 0.6×	245 1.3×	407 3.4×	150 1.4×	56 0.6×	23	807
Diana Weißenberger Switzerland	4	192 0.9×	74 0.4×	181 1.5×	160 1.5×	42 0.4×	5	517

Countries citing papers authored by Danielle Lann

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Danielle Lann

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Lann. A scholar is included among the top collaborators of Danielle Lann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danielle Lann. Danielle Lann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Agarwal, Khushboo, et al.. (2020). <p>Iatrogenic Cushing’s Syndrome Following Intra-Articular Triamcinolone Injection in an HIV-Infected Patient on Cobicistat Presenting as a Pulmonary Embolism: Case Report and Literature Review</p>. International Medical Case Reports Journal. Volume 13. 229–235. 4 indexed citations

Lann, Danielle, Yingjie Wu, Sébastien Elis, et al.. (2010). Elevated Circulating IGF-I Promotes Mammary Gland Development and Proliferation. Endocrinology. 151(12). 5751–5761. 34 indexed citations

Kawashima, Y., HaoSheng Sun, Danielle Lann, et al.. (2009). Apolipoprotein E deficiency abrogates insulin resistance in a mouse model of type 2 diabetes mellitus. Diabetologia. 52(7). 1434–1441. 20 indexed citations

Novosyadlyy, Ruslan, Archana Vijayakumar, Danielle Lann, et al.. (2009). Physical and functional interaction between polyoma virus middle T antigen and insulin and IGF-I receptors is required for oncogene activation and tumour initiation. Oncogene. 28(39). 3477–3486. 14 indexed citations

LeRoith, Derek, Ruslan Novosyadlyy, Emily J. Gallagher, et al.. (2008). Obesity and Type 2 Diabetes are Associated with an Increased Risk of Developing Cancer and a Worse Prognosis; Epidemiological and Mechanistic Evidence. Experimental and Clinical Endocrinology & Diabetes. 116(S 01). S4–S6. 104 indexed citations

Lann, Danielle & Derek LeRoith. (2008). The Role of Endocrine Insulin-Like Growth Factor-I and Insulin in Breast Cancer. Journal of Mammary Gland Biology and Neoplasia. 13(4). 371–379. 84 indexed citations

Novosyadlyy, Ruslan, Naamit Kurshan, Danielle Lann, et al.. (2008). Insulin-like growth factor-I protects cells from ER stress-induced apoptosis via enhancement of the adaptive capacity of endoplasmic reticulum. Cell Death and Differentiation. 15(8). 1304–1317. 60 indexed citations

Lann, Danielle, et al.. (2008). Insulin resistance and the metabolic syndrome.. PubMed. 99(3). 253–62. 12 indexed citations

Lann, Danielle & Derek LeRoith. (2007). Resistencia a la insulina como causa subyacente del síndrome metabólico. 91(6). 1063–1077. 1 indexed citations

10.

Lann, Danielle & Derek LeRoith. (2007). Insulin Resistance as the Underlying Cause for the Metabolic Syndrome. Medical Clinics of North America. 91(6). 1063–1077. 179 indexed citations

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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