Darcy R. Flora

993 total citations · 1 hit paper
27 papers, 746 citations indexed

About

Darcy R. Flora is a scholar working on Pharmacology, Oncology and Molecular Biology. According to data from OpenAlex, Darcy R. Flora has authored 27 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 7 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Darcy R. Flora's work include Pharmacogenetics and Drug Metabolism (8 papers), Heart Failure Treatment and Management (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). Darcy R. Flora is often cited by papers focused on Pharmacogenetics and Drug Metabolism (8 papers), Heart Failure Treatment and Management (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). Darcy R. Flora collaborates with scholars based in United States, Russia and Japan. Darcy R. Flora's co-authors include Lincoln R. Potter, Deborah M. Dickey, Laura K. Antos, Andrea Yoder, Timothy S. Tracy, Yingjie Chen, Paula M. Bryan, Allan E. Rettie, Richard C. Brundage and Sarah E. Abbey‐Hosch and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Darcy R. Flora

24 papers receiving 734 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Natriuretic Peptides: Their Structures, Receptors, Physiologic Functions and Therapeutic Applications

2008 461 citations Lincoln R. Potter, Andrea Yoder et al. Handbook of experimental pharmacology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Darcy R. Flora United States	10	376	254	95	75	73	27	746
Ludovic Bénard United States	12	338 0.9×	352 1.4×	143 1.5×	40 0.5×	22 0.3×	17	765
Ruggiero Mango Italy	19	231 0.6×	341 1.3×	65 0.7×	36 0.5×	23 0.3×	54	1.0k
Brian Estevez United States	10	165 0.4×	212 0.8×	83 0.9×	54 0.7×	23 0.3×	13	782
Pietro Giudice Italy	17	362 1.0×	130 0.5×	93 1.0×	122 1.6×	45 0.6×	33	817
Jennifer A. Kennedy Australia	14	389 1.0×	351 1.4×	111 1.2×	90 1.2×	52 0.7×	33	897
Frank S Ong United States	15	195 0.5×	274 1.1×	108 1.1×	35 0.5×	17 0.2×	21	719
Masanori Sunagawa Japan	14	503 1.3×	447 1.8×	94 1.0×	86 1.1×	16 0.2×	38	1.1k
Wei Shuai China	19	365 1.0×	518 2.0×	220 2.3×	87 1.2×	14 0.2×	69	1.1k
Natsuya Keira Japan	15	394 1.0×	288 1.1×	85 0.9×	124 1.7×	11 0.2×	66	917

Countries citing papers authored by Darcy R. Flora

Since Specialization

Citations

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

Fields of papers citing papers by Darcy R. Flora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darcy R. Flora. 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 Darcy R. Flora. The network helps show where Darcy R. Flora may publish in the future.

Co-authorship network of co-authors of Darcy R. Flora

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

All Works

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20 of 20 papers shown

Flora, Darcy R., Andrew M. Evens, Michelle A. Fanale, et al.. (2023). The impact of classic Hodgkin lymphoma on informal caregivers: results from the CONNECT cross-sectional survey. Supportive Care in Cancer. 31(11). 664–664.

Flora, Darcy R., et al.. (2023). Assessment of Bone Health Awareness and Education in Breast Cancer Patients with Bone Metastasis in the USA. Journal of Cancer Education. 38(5). 1522–1530. 1 indexed citations

Parsons, Susan K., Michelle A. Fanale, Katie Holmes, et al.. (2023). Observations of Oncologists on Treatment Selection With Interim Positron Emission Tomography–Adapted Approaches in Classic Hodgkin Lymphoma: The Real-World CONNECT Study. JCO Oncology Practice. 19(6). e867–e876. 2 indexed citations

Shen, Cheng, Darcy R. Flora, Allan E. Rettie, Richard C. Brundage, & Timothy S. Tracy. (2022). A Physiological-Based Pharmacokinetic Model Embedded with a Target-Mediated Drug Disposition Mechanism Can Characterize Single-Dose Warfarin Pharmacokinetic Profiles in Subjects with Various CYP2C9 Genotypes under Different Cotreatments. Drug Metabolism and Disposition. 51(2). 257–267. 5 indexed citations

Flora, Darcy R., Andrew M. Evens, Michelle A. Fanale, et al.. (2022). The impact of classic Hodgkin lymphoma (cHL) on informal caregivers: Results from the cHL—Real-world observations from physicians, patients, and caregivers on the disease and its treatment (CONNECT) study.. Journal of Clinical Oncology. 40(16_suppl). e24004–e24004.

Shen, Cheng, Darcy R. Flora, Allan E. Rettie, Richard C. Brundage, & Timothy S. Tracy. (2022). Pharmacokinetic Modeling of Warfarin ІI – Model-Based Analysis of Warfarin Metabolites after Warfarin Administered Either Alone or Together with Fluconazole or Rifampin. Drug Metabolism and Disposition. 50(9). 1302–1311. 4 indexed citations

Shen, Cheng, Darcy R. Flora, Allan E. Rettie, Richard C. Brundage, & Timothy S. Tracy. (2022). Pharmacokinetic Modeling of Warfarin І – Model-Based Analysis of Warfarin Enantiomers with a Target Mediated Drug Disposition Model Reveals CYP2C9 Genotype-Dependent Drug-Drug Interactions of S-Warfarin. Drug Metabolism and Disposition. 50(9). 1287–1301. 10 indexed citations

Evens, Andrew M., Andy Surinach, Katie Holmes, et al.. (2021). Classical Hodgkin Lymphoma; Real-World Observations from Physicians, Patients, and Caregivers on the Disease and Its Treatment (CONNECT): Physician First-Line Treatment Preferences for Stage III or IV Classical Hodgkin Lymphoma. Blood. 138(Supplement 1). 2467–2467. 2 indexed citations

Parsons, Susan K., Michelle A. Fanale, Katie Holmes, et al.. (2021). Classical Hodgkin Lymphoma; Real-World Observations from Physicians, Patients, and Caregivers on the Disease and Its Treatment (CONNECT): Observations of Physicians on Treatment and Interim PET-Adapted Regimens. Blood. 138(Supplement 1). 1390–1390. 1 indexed citations

10.

Flora, Darcy R., et al.. (2021). Assessment of Bone Health Education in US Multiple Myeloma and Solid Tumor Patients at Risk for Skeletal-Related Events. Cancer Management and Research. Volume 13. 3529–3537. 2 indexed citations

11.

Bostick, Christopher D., et al.. (2016). Immobilized Cytochrome P450 for Monitoring of P450-P450 Interactions and Metabolism. Drug Metabolism and Disposition. 44(5). 741–749. 11 indexed citations

12.

Bostick, Christopher D., Darcy R. Flora, Peter M. Gannett, Timothy S. Tracy, & David Lederman. (2015). Nanoscale electron transport measurements of immobilized cytochrome P450 proteins. Nanotechnology. 26(15). 155102–155102. 7 indexed citations

13.

Barr, John, Darcy R. Flora, & Otito F. Iwuchukwu. (2014). Case Study 1. Practical Considerations with Experimental Design and Interpretation. Methods in molecular biology. 1113. 419–429. 1 indexed citations

14.

Wollenberg, Lance, Matthew J. Powell, Jifeng Chen, et al.. (2013). The Use of Immobilized Cytochrome P4502C9 in PMMA-Based Plug Flow Bioreactors for the Production of Drug Metabolites. Applied Biochemistry and Biotechnology. 172(3). 1293–1306. 15 indexed citations

15.

Lederman, David, Lance Wollenberg, Darcy R. Flora, et al.. (2013). Measurement of Electron Transfer through Cytochrome P450 Protein on Nanopillars and the Effect of Bound Substrates. Journal of the American Chemical Society. 135(10). 3834–3840. 14 indexed citations

16.

Wollenberg, Lance, Yueting Wu, Darcy R. Flora, et al.. (2012). Selective filling of nanowells in nanowell arrays fabricated using polystyrene nanosphere lithography with cytochrome P450 enzymes. Nanotechnology. 23(38). 385101–385101. 9 indexed citations

17.

Flora, Darcy R. & Timothy S. Tracy. (2011). Development of an In Vitro System with Human Liver Microsomes for Phenotyping of CYP2C9 Genetic Polymorphisms with a Mechanism-Based Inactivator. Drug Metabolism and Disposition. 40(4). 836–842. 5 indexed citations

18.

Dickey, Deborah M., Darcy R. Flora, & Lincoln R. Potter. (2011). Antibody Tracking Demonstrates Cell Type-Specific and Ligand-Independent Internalization of Guanylyl Cyclase A and Natriuretic Peptide Receptor C. Molecular Pharmacology. 80(1). 155–162. 10 indexed citations

19.

Potter, Lincoln R., Andrea Yoder, Darcy R. Flora, Laura K. Antos, & Deborah M. Dickey. (2008). Natriuretic Peptides: Their Structures, Receptors, Physiologic Functions and Therapeutic Applications. Handbook of experimental pharmacology. 341–366. 461 indexed citations breakdown →

20.

Dickey, Deborah M., et al.. (2007). Differential Regulation of Membrane Guanylyl Cyclases in Congestive Heart Failure: Natriuretic Peptide Receptor (NPR)-B, Not NPR-A, Is the Predominant Natriuretic Peptide Receptor in the Failing Heart. Endocrinology. 148(7). 3518–3522. 88 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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