Steven M. Riddle

1.3k total citations
19 papers, 1.1k citations indexed

About

Steven M. Riddle is a scholar working on Molecular Biology, Oncology and Neurology. According to data from OpenAlex, Steven M. Riddle has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Neurology. Recurrent topics in Steven M. Riddle's work include Parkinson's Disease Mechanisms and Treatments (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Steven M. Riddle is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Steven M. Riddle collaborates with scholars based in United States, Norway and Switzerland. Steven M. Riddle's co-authors include Robert E. Cohen, Steven C. Johnston, Christopher P. Hill, Kurt W. Vogel, Laurie J. Reichling, Bryan D. Marks, Dubek Kazyken, Gabrielle K. Steinl, Diane C. Fingar and Tammy M. Barnes and has published in prestigious journals such as The EMBO Journal, Blood and PLoS ONE.

In The Last Decade

Steven M. Riddle

19 papers receiving 1.1k citations

Peers

Steven M. Riddle

ONCOL

NEURO

EPIDE

Erik Wilker United States

Qingkai Yang China

Felix Oppermann Germany

Ginny I. Chen Canada

Kurt W. Vogel United States

Giovanni Santelli Italy

Martin Schröder Germany

Lisette G. G. C. Verhoef Sweden

Richard I. Feldman United States

Patrick G. Shaw United States

Erik Wilker United States

Steven M. Riddle

1.1k ×1.3

268 ×1.1

ONCOL

127 ×0.7

NEURO

270 ×1.9

67 ×0.6

EPIDE

Citations per year, relative to Steven M. Riddle Steven M. Riddle (= 1×) peers Erik Wilker

Countries citing papers authored by Steven M. Riddle

Since Specialization

Citations

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

Fields of papers citing papers by Steven M. Riddle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven M. Riddle. 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 Steven M. Riddle. The network helps show where Steven M. Riddle may publish in the future.

Co-authorship network of co-authors of Steven M. Riddle

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

All Works

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19 of 19 papers shown

Kazyken, Dubek, Brian Magnuson, Çağrı Bodur, et al.. (2019). AMPK directly activates mTORC2 to promote cell survival during acute energetic stress. Science Signaling. 12(585). 175 indexed citations

Bodur, Çağrı, Dubek Kazyken, Kezhen Huang, et al.. (2017). The IKK‐related kinase TBK1 activates mTORC1 directly in response to growth factors and innate immune agonists. The EMBO Journal. 37(1). 19–38. 77 indexed citations

Xie, Ting, Sang Min Lim, Kenneth D. Westover, et al.. (2014). Pharmacological targeting of the pseudokinase Her3. Nature Chemical Biology. 10(12). 1006–1012. 162 indexed citations

O’Hare, Thomas, Christopher A. Eide, Anupriya Agarwal, et al.. (2013). Threshold Levels of ABL Tyrosine Kinase Inhibitors Retained in Chronic Myeloid Leukemia Cells Determine Their Commitment to Apoptosis. Cancer Research. 73(11). 3356–3370. 23 indexed citations

Hermanson, Spencer, Coby B. Carlson, Steven M. Riddle, et al.. (2012). Screening for Novel LRRK2 Inhibitors Using a High-Throughput TR-FRET Cellular Assay for LRRK2 Ser935 Phosphorylation. PLoS ONE. 7(8). e43580–e43580. 32 indexed citations

Lebakken, Connie S., et al.. (2012). Detection of Allosteric Kinase Inhibitors by Displacement of Active Site Probes. SLAS DISCOVERY. 17(6). 813–821. 13 indexed citations

Zhao, Jing, Spencer Hermanson, Coby B. Carlson, et al.. (2012). Pharmacological inhibition of LRRK2 cellular phosphorylation sites provides insight into LRRK2 biology. Biochemical Society Transactions. 40(5). 1158–1162. 14 indexed citations

Riddle, Steven M. & Justin Seipel. (2012). Foot Contact Interactions of a Clock Torqued Spring-Loaded Inverted Pendulum. 957–965. 1 indexed citations

Marks, Bryan D., et al.. (2011). A Substrate-Independent TR-FRET Histone Deacetylase Inhibitor Assay. SLAS DISCOVERY. 16(10). 1247–1253. 16 indexed citations

10.

O’Hare, Thomas, Christopher A. Eide, Lauren T. Adrian, et al.. (2011). Cryptic Intracellular Retention of ABL Tyrosine Kinase Inhibitors within CML Cells Mediates Apoptosis Commitment Following Acute Drug Exposure,. Blood. 118(21). 3504–3504. 1 indexed citations

11.

Reichling, Laurie J. & Steven M. Riddle. (2009). Leucine-rich repeat kinase 2 mutants I2020T and G2019S exhibit altered kinase inhibitor sensitivity. Biochemical and Biophysical Research Communications. 384(2). 255–258. 25 indexed citations

12.

Lebakken, Connie S., Steven M. Riddle, Upinder Singh, et al.. (2009). Development and Applications of a Broad-Coverage, TR-FRET-Based Kinase Binding Assay Platform. SLAS DISCOVERY. 14(8). 924–935. 68 indexed citations

13.

Reichling, Laurie J., et al.. (2008). Pharmacological Characterization of Purified Recombinant mTOR FRB-Kinase Domain Using Fluorescence-Based Assays. SLAS DISCOVERY. 13(3). 238–244. 2 indexed citations

14.

Reichling, Laurie J., Steven M. Riddle, Baigen Mei, et al.. (2008). Homogenous Fluorescent Assays for Characterizing Small-Molecule Activators of AMP-Activated Protein Kinase (AMPK). PubMed. 1. 34–42. 2 indexed citations

15.

Reichling, Laurie J., Wayne R. Stochaj, Weili Duan, et al.. (2008). Investigation of leucine‐rich repeat kinase 2. FEBS Journal. 276(2). 466–478. 98 indexed citations

16.

Horton, Robert A., et al.. (2006). A substrate for deubiquitinating enzymes based on time-resolved fluorescence resonance energy transfer between terbium and yellow fluorescent protein. Analytical Biochemistry. 360(1). 138–143. 38 indexed citations

17.

Riddle, Steven M., et al.. (2006). Time-resolved fluorescence resonance energy transfer kinase assays using physiological protein substrates: Applications of terbium–fluorescein and terbium–green fluorescent protein fluorescence resonance energy transfer pairs. Analytical Biochemistry. 356(1). 108–116. 50 indexed citations

18.

Ozers, Mary Szatkowski, Bryan D. Marks, Krishne Gowda, et al.. (2006). The Androgen Receptor T877A Mutant Recruits LXXLL and FXXLF Peptides Differently than Wild-Type Androgen Receptor in a Time-Resolved Fluorescence Resonance Energy Transfer Assay. Biochemistry. 46(3). 683–695. 45 indexed citations

19.

Johnston, Steven C., Steven M. Riddle, Robert E. Cohen, & Christopher P. Hill. (1999). Structural basis for the specificity of ubiquitin C-terminal hydrolases. The EMBO Journal. 18(14). 3877–3887. 243 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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