Bartholomew P. Roland

695 total citations
15 papers, 518 citations indexed

About

Bartholomew P. Roland is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Bartholomew P. Roland has authored 15 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Physiology and 4 papers in Surgery. Recurrent topics in Bartholomew P. Roland's work include Erythrocyte Function and Pathophysiology (4 papers), Pancreatic function and diabetes (4 papers) and Lipid Membrane Structure and Behavior (3 papers). Bartholomew P. Roland is often cited by papers focused on Erythrocyte Function and Pathophysiology (4 papers), Pancreatic function and diabetes (4 papers) and Lipid Membrane Structure and Behavior (3 papers). Bartholomew P. Roland collaborates with scholars based in United States, Germany and France. Bartholomew P. Roland's co-authors include Todd R. Graham, Ronald Wetzel, Rakesh Kumar Mishra, Ravindra Kodali, Matthew C. Bombard, Ming Lü, Julien Rossignol, Reid Laughlin Skeel, Gary Dunbar and Michael I Sandstrom and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Bartholomew P. Roland

15 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bartholomew P. Roland United States 12 329 166 101 77 67 15 518
Elaine Pirie United States 10 438 1.3× 99 0.6× 133 1.3× 56 0.7× 25 0.4× 14 723
Joseph F. Sanchez United States 11 349 1.1× 126 0.8× 46 0.5× 36 0.5× 24 0.4× 13 574
Aveline Hewetson United States 15 357 1.1× 69 0.4× 80 0.8× 31 0.4× 21 0.3× 28 637
Angela Song Australia 8 196 0.6× 191 1.2× 211 2.1× 31 0.4× 24 0.4× 13 449
Monique Saunier France 12 448 1.4× 219 1.3× 51 0.5× 30 0.4× 37 0.6× 20 793
Lara Moumné France 11 386 1.2× 178 1.1× 37 0.4× 30 0.4× 73 1.1× 11 629
Carles Gil Spain 18 374 1.1× 288 1.7× 86 0.9× 121 1.6× 26 0.4× 33 604
Martin Billger Sweden 12 245 0.7× 91 0.5× 32 0.3× 179 2.3× 20 0.3× 22 449
Gemma A.J. Kuijpers United States 16 376 1.1× 133 0.8× 69 0.7× 97 1.3× 74 1.1× 31 550
Marylens Hernandez United States 9 415 1.3× 112 0.7× 31 0.3× 106 1.4× 21 0.3× 12 639

Countries citing papers authored by Bartholomew P. Roland

Since Specialization
Citations

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

Fields of papers citing papers by Bartholomew P. Roland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bartholomew P. Roland. 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 Bartholomew P. Roland. The network helps show where Bartholomew P. Roland may publish in the future.

Co-authorship network of co-authors of Bartholomew P. Roland

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

All Works

15 of 15 papers shown
1.
Yang, Lu, Matthew L. Aardema, Ying Zhen, et al.. (2023). Predatory fireflies and their toxic firefly prey have evolved distinct toxin resistance strategies. Current Biology. 33(23). 5160–5168.e7. 7 indexed citations
2.
Driest, Sara L. Van, et al.. (2021). Impact of Updating Pharmacogenetic Results: Lessons Learned from the PREDICT Program. Journal of Personalized Medicine. 11(11). 1051–1051. 7 indexed citations
3.
Roland, Bartholomew P., et al.. (2020). Exofacial membrane composition and lipid metabolism regulates plasma membrane P4-ATPase substrate specificity. Journal of Biological Chemistry. 295(52). 17997–18009. 11 indexed citations
4.
Vnencak‐Jones, Cindy L., et al.. (2020). A Tutorial for Pharmacogenomics Implementation Through End‐to‐End Clinical Decision Support Based on Ten Years of Experience from PREDICT. Clinical Pharmacology & Therapeutics. 109(1). 101–115. 38 indexed citations
5.
Roland, Bartholomew P., Tien‐Chien Chang, Paola Bianchi, et al.. (2019). Missense variant in TPI1 (Arg189Gln) causes neurologic deficits through structural changes in the triosephosphate isomerase catalytic site and reduced enzyme levels in vivo. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(9). 2257–2266. 15 indexed citations
6.
Yang, Lu, Julie Peng, Ana Pinharanda, et al.. (2019). Adaptive substitutions underlying cardiac glycoside insensitivity in insects exhibit epistasis in vivo. eLife. 8. 26 indexed citations
7.
Roland, Bartholomew P., Tomoki Naito, Hiroyuki Takatsu, et al.. (2018). Yeast and human P4-ATPases transport glycosphingolipids using conserved structural motifs. Journal of Biological Chemistry. 294(6). 1794–1806. 58 indexed citations
8.
Roland, Bartholomew P. & Todd R. Graham. (2016). Directed evolution of a sphingomyelin flippase reveals mechanism of substrate backbone discrimination by a P4-ATPase. Proceedings of the National Academy of Sciences. 113(31). E4460–6. 19 indexed citations
9.
Roland, Bartholomew P., Samantha B. Larsen, A. Héroux, et al.. (2016). Structural and Genetic Studies Demonstrate Neurologic Dysfunction in Triosephosphate Isomerase Deficiency Is Associated with Impaired Synaptic Vesicle Dynamics. PLoS Genetics. 12(3). e1005941–e1005941. 23 indexed citations
10.
Roland, Bartholomew P. & Todd R. Graham. (2016). Decoding P4-ATPase substrate interactions. Critical Reviews in Biochemistry and Molecular Biology. 51(6). 513–527. 34 indexed citations
11.
Roland, Bartholomew P., Samantha B. Larsen, A. Héroux, et al.. (2014). Triosephosphate isomerase I170V alters catalytic site, enhances stability and induces pathology in a Drosophila model of TPI deficiency. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1852(1). 61–69. 25 indexed citations
12.
Roland, Bartholomew P., et al.. (2013). Evidence of a triosephosphate isomerase non-catalytic function critical to behavior and longevity. Journal of Cell Science. 126(Pt 14). 3151–8. 30 indexed citations
13.
Roland, Bartholomew P., Ravindra Kodali, Rakesh Kumar Mishra, & Ronald Wetzel. (2013). A serendipitous survey of prediction algorithms for amyloidogenicity. Biopolymers. 100(6). 780–789. 21 indexed citations
14.
Mishra, Rakesh Kumar, Murali Jayaraman, Bartholomew P. Roland, et al.. (2011). Inhibiting the Nucleation of Amyloid Structure in a Huntingtin Fragment by Targeting α-Helix-Rich Oligomeric Intermediates. Journal of Molecular Biology. 415(5). 900–917. 76 indexed citations
15.
Bombard, Matthew C., Bartholomew P. Roland, Ming Lü, et al.. (2010). Genetically engineered mesenchymal stem cells reduce behavioral deficits in the YAC 128 mouse model of Huntington's disease. Behavioural Brain Research. 214(2). 193–200. 128 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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