Darla Landfair

488 total citations
8 papers, 370 citations indexed

About

Darla Landfair is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cancer Research. According to data from OpenAlex, Darla Landfair has authored 8 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Cancer Research. Recurrent topics in Darla Landfair's work include Growth Hormone and Insulin-like Growth Factors (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Chemotherapy-induced cardiotoxicity and mitigation (2 papers). Darla Landfair is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Chemotherapy-induced cardiotoxicity and mitigation (2 papers). Darla Landfair collaborates with scholars based in . Darla Landfair's co-authors include Marc E. Wiles, Eric Lynam, Carol Bell, Mark J. Mulvihill, Maryland Rosenfeld-Franklin, Qunsheng Ji, Yan Yao, Elizabeth Buck, Caroline Pirritt and Matthew O’Connor and has published in prestigious journals such as Molecular Cancer Therapeutics, Bioorganic & Medicinal Chemistry Letters and Drug Delivery.

In The Last Decade

Darla Landfair

8 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Darla Landfair	5	241	107	75	66	34	8	370
Caroline Pirritt	4	248 1.0×	180 1.7×	87 1.2×	92 1.4×	34 1.0×	5	369
Bastianina Canu Italy	10	136 0.6×	34 0.3×	197 2.6×	84 1.3×	26 0.8×	15	346
Adriana Puma Italy	12	141 0.6×	145 1.4×	93 1.2×	60 0.9×	45 1.3×	22	452
Robert Cozens Switzerland	2	330 1.4×	228 2.1×	142 1.9×	126 1.9×	20 0.6×	3	475
Takehisa Suzuki Japan	12	218 0.9×	36 0.3×	132 1.8×	87 1.3×	30 0.9×	28	433
Eun Suk Hwang South Korea	10	260 1.1×	134 1.3×	213 2.8×	60 0.9×	35 1.0×	11	496
Lise Hoejberg Denmark	8	110 0.5×	32 0.3×	173 2.3×	30 0.5×	15 0.4×	10	301
Viola Baradari Germany	7	257 1.1×	65 0.6×	202 2.7×	77 1.2×	97 2.9×	9	507
Helen Ding United States	5	145 0.6×	192 1.8×	134 1.8×	32 0.5×	32 0.9×	8	365
Qing-Yun Chong Singapore	14	280 1.2×	51 0.5×	140 1.9×	184 2.8×	30 0.9×	16	472

Countries citing papers authored by Darla Landfair

Since Specialization

Citations

This map shows the geographic impact of Darla Landfair'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 Darla Landfair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darla Landfair more than expected).

Fields of papers citing papers by Darla Landfair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darla Landfair. 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 Darla Landfair. The network helps show where Darla Landfair may publish in the future.

Co-authorship network of co-authors of Darla Landfair

This figure shows the co-authorship network connecting the top 25 collaborators of Darla Landfair. A scholar is included among the top collaborators of Darla Landfair 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 Darla Landfair. Darla Landfair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Jin, Meizhong, Prafulla C. Gokhale, Kenneth W. Foreman, et al.. (2010). Potent and selective cyclohexyl-derived imidazopyrazine insulin-like growth factor 1 receptor inhibitors with in vivo efficacy. Bioorganic & Medicinal Chemistry Letters. 21(4). 1176–1180. 13 indexed citations

Mulvihill, Mark J., Andrew Cooke, Maryland Rosenfeld-Franklin, et al.. (2009). Discovery of OSI-906: A Selective and Orally Efficacious Dual Inhibitor of the IGF-1 Receptor and Insulin Receptor. Future Medicinal Chemistry. 1(6). 1153–1171. 240 indexed citations

Gokhale, Prafulla C., Shripad V. Bhagwat, Anne Cooke, et al.. (2008). 250 ORAL OXA-01, a novel potent mTORC1/TORC2 kinase inhibitor, demonstrates broad spectrum antitumor activity in preclinical models of human cancer. European Journal of Cancer Supplements. 6(12). 82–82. 1 indexed citations

Rosenfeld-Franklin, Maryland, Caroline Pirritt, Darla Landfair, et al.. (2007). In vivo evaluation of OSI-906, a novel small molecule kinase inhibitor of the insulin-like growth factor-1 receptor (IGF-1R). Molecular Cancer Therapeutics. 6. 5 indexed citations

Bell, Carol, Eric Lynam, Darla Landfair, Nebojša Janjić, & Marc E. Wiles. (1999). Oligonucleotide NX1838 inhibits VEGF165-mediated cellular responses in vitro. In Vitro Cellular & Developmental Biology - Animal. 35(9). 533–542. 85 indexed citations

Lynam, Eric, Darla Landfair, & Marc E. Wiles. (1999). Camptothecin Analogue Efficacy In Vitro: Effect of Liposomal Encapsulation of GI147211C (NX211). Drug Delivery. 6(1). 51–62. 3 indexed citations

Landfair, Darla, et al.. (1999). Cellular Uptake of Liposomal Daunorubicin and the Induction of Apoptosis. Drug Delivery. 6(4). 213–226. 4 indexed citations

Wiles, Marc E., Carol Bell, Darla Landfair, Eric Lynam, & Raymond A. Bendele. (1997). Anthracycline Efficacy in vitro: Cytotoxicity of Liposomal/Nonliposomal Daunorubicin and Doxorubicin for Multiple Tumor Cell Types. Drug Delivery. 4(4). 255–262. 19 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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