Robert G. Lowery

1.1k total citations
30 papers, 744 citations indexed

About

Robert G. Lowery is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Robert G. Lowery has authored 30 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 4 papers in Organic Chemistry and 4 papers in Oncology. Recurrent topics in Robert G. Lowery's work include Receptor Mechanisms and Signaling (4 papers), Click Chemistry and Applications (3 papers) and Epigenetics and DNA Methylation (3 papers). Robert G. Lowery is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Click Chemistry and Applications (3 papers) and Epigenetics and DNA Methylation (3 papers). Robert G. Lowery collaborates with scholars based in United States and Switzerland. Robert G. Lowery's co-authors include Paul W. Ludden, Leonard L. Saari, Karen M. Kleman-Leyer, Wayne P. Fitzmaurice, Tony A. Klink, G P Roberts, R. H. Burris, Anton Hartmann, David P. Siderovski and S A Murrell and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Cancer Research.

In The Last Decade

Robert G. Lowery

28 papers receiving 704 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert G. Lowery United States 17 493 126 125 100 85 30 744
Euan Gordon Sweden 18 480 1.0× 57 0.5× 35 0.3× 78 0.8× 50 0.6× 30 696
A. Humm Germany 9 232 0.5× 74 0.6× 155 1.2× 51 0.5× 52 0.6× 9 511
Eugene G. Mueller United States 19 1.1k 2.1× 166 1.3× 254 2.0× 30 0.3× 98 1.2× 31 1.3k
Steven O. Mansoorabadi United States 18 626 1.3× 151 1.2× 209 1.7× 26 0.3× 57 0.7× 35 990
Maria Chiara Silvestrini Italy 18 692 1.4× 113 0.9× 75 0.6× 63 0.6× 17 0.2× 34 1.0k
Arthur Oubrie Netherlands 16 683 1.4× 135 1.1× 66 0.5× 117 1.2× 27 0.3× 25 991
R. Coelho Portugal 9 354 0.7× 80 0.6× 146 1.2× 321 3.2× 27 0.3× 17 802
Nadine Pollak Germany 10 588 1.2× 53 0.4× 30 0.2× 27 0.3× 112 1.3× 16 1.0k
Rebecca Del Conte Italy 18 587 1.2× 125 1.0× 119 1.0× 29 0.3× 156 1.8× 35 1.2k
Björn Kauppi Sweden 9 538 1.1× 93 0.7× 76 0.6× 220 2.2× 134 1.6× 11 1.1k

Countries citing papers authored by Robert G. Lowery

Since Specialization
Citations

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

Fields of papers citing papers by Robert G. Lowery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert G. Lowery. 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 Robert G. Lowery. The network helps show where Robert G. Lowery may publish in the future.

Co-authorship network of co-authors of Robert G. Lowery

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

All Works

20 of 20 papers shown
1.
Phạm, Hà, et al.. (2024). Development and validation of a generic methyltransferase enzymatic assay based on an SAH riboswitch. SLAS DISCOVERY. 29(4). 100161–100161. 4 indexed citations
2.
Phạm, Hà, et al.. (2024). Abstract 3114: Development of HTS enzymatic assays for RNA helicases: DDX3, DDX5, DDX17, RIG-1 and MDA5. Cancer Research. 84(6_Supplement). 3114–3114. 1 indexed citations
3.
Rangel, Alexandra E., et al.. (2021). RE-SELEX: restriction enzyme-based evolution of structure-switching aptamer biosensors. Chemical Science. 12(35). 11692–11702. 33 indexed citations
4.
Lowery, Robert G., et al.. (2019). High-Throughput Screening Assays for Cancer Immunotherapy Targets: Ectonucleotidases CD39 and CD73. SLAS DISCOVERY. 25(3). 320–326. 8 indexed citations
5.
Lowery, Robert G., et al.. (2017). A High-Throughput Method for Measuring Drug Residence Time Using the Transcreener ADP Assay. SLAS DISCOVERY. 22(7). 915–922. 17 indexed citations
6.
Reichman, Melvin, et al.. (2016). Development and Validation of a Universal High-Throughput UDP-Glycosyltransferase Assay with a Time-Resolved FRET Signal. Assay and Drug Development Technologies. 14(4). 240–251. 16 indexed citations
7.
Lowery, Robert G., et al.. (2015). Biochemical Assay Development for Histone Methyltransferases Using a Transcreener-Based Assay for S-Adenosylhomocysteine. Assay and Drug Development Technologies. 13(4). 200–209. 7 indexed citations
8.
Reichman, Melvin, et al.. (2015). A High-Throughput Assay for Rho Guanine Nucleotide Exchange Factors Based on the Transcreener GDP Assay. SLAS DISCOVERY. 20(10). 1294–1299. 6 indexed citations
9.
Klink, Tony A., et al.. (2011). Development and Validation of a Generic Fluorescent Methyltransferase Activity Assay Based on the Transcreener AMP/GMP Assay. SLAS DISCOVERY. 17(1). 59–70. 17 indexed citations
10.
Kleman-Leyer, Karen M., et al.. (2010). Development and Validation of a Transcreener Assay for Detection of AMP- and GMP-Producing Enzymes. Assay and Drug Development Technologies. 8(3). 339–350. 28 indexed citations
11.
Kleman-Leyer, Karen M., Tony A. Klink, Tracy J Worzella, et al.. (2009). Characterization and Optimization of a Red-Shifted Fluorescence Polarization ADP Detection Assay. Assay and Drug Development Technologies. 7(1). 56–67. 40 indexed citations
12.
Kimple, Adam J., et al.. (2009). Two Gαi1 Rate-Modifying Mutations Act in Concert to Allow Receptor-Independent, Steady-State Measurements of RGS Protein Activity. SLAS DISCOVERY. 14(10). 1195–1206. 29 indexed citations
13.
Klink, Tony A., et al.. (2008). Evaluating PI3 Kinase Isoforms Using Transcreener™ ADP Assays. SLAS DISCOVERY. 13(6). 476–485. 29 indexed citations
14.
Lowery, Robert G. & Karen M. Kleman-Leyer. (2006). Transcreener™: screening enzymes involved in covalent regulation. Expert Opinion on Therapeutic Targets. 10(1). 179–190. 37 indexed citations
15.
Coffman, Birgit L., William R. Kearney, Mitchell D. Green, Robert G. Lowery, & Thomas R. Tephly. (2001). Analysis of Opioid Binding to UDP-Glucuronosyltransferase 2B7 Fusion Proteins Using Nuclear Magnetic Resonance Spectroscopy. Molecular Pharmacology. 59(6). 1464–1469. 29 indexed citations
16.
Fitzmaurice, Wayne P., et al.. (1989). Genes coding for the reversible ADP-ribosylation system of dinitrogenase reductase from Rhodospirillum rubrum. Molecular and General Genetics MGG. 218(2). 340–347. 84 indexed citations
17.
Lowery, Robert G. & Paul W. Ludden. (1989). Effect of nucleotides on the activity of dinitrogenase reductase ADP-ribosyltransferase from Rhodospirillum rubrum. Biochemistry. 28(12). 4956–4961. 12 indexed citations
18.
Murrell, S A, Robert G. Lowery, & Paul W. Ludden. (1988). ADP-ribosylation of dinitrogenase reductase from Clostridium pasteurianum prevents its inhibition of nitrogenase from Azotobacter vinelandii. Biochemical Journal. 251(2). 609–612. 18 indexed citations
19.
Lowery, Robert G.. (1984). A Whirlwind in Dublin : the Plough and the stars riots. Greenwood Press eBooks. 2 indexed citations
20.
Lowery, Robert G., et al.. (1981). Sean O'Casey : centenary essays.

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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