Laura M. Nocka

508 total citations
9 papers, 298 citations indexed

About

Laura M. Nocka is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Laura M. Nocka has authored 9 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Biomedical Engineering. Recurrent topics in Laura M. Nocka's work include Chronic Lymphocytic Leukemia Research (4 papers), DNA and Nucleic Acid Chemistry (3 papers) and Nanopore and Nanochannel Transport Studies (3 papers). Laura M. Nocka is often cited by papers focused on Chronic Lymphocytic Leukemia Research (4 papers), DNA and Nucleic Acid Chemistry (3 papers) and Nanopore and Nanochannel Transport Studies (3 papers). Laura M. Nocka collaborates with scholars based in United States and Singapore. Laura M. Nocka's co-authors include John Kuriyan, Jay T. Groves, Qi Wang, Neel H. Shah, Jeanine F. Amacher, Connor Rosen, Julie A. Zorn, Stephen C. Harrison, Erik Vogan and Jean K. Chung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Laura M. Nocka

9 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura M. Nocka United States	8	227	67	58	55	24	9	298
Emmanuel de Billy Italy	11	247 1.1×	61 0.9×	82 1.4×	41 0.7×	18 0.8×	15	390
Christine Kugel United Kingdom	4	269 1.2×	21 0.3×	53 0.9×	38 0.7×	8 0.3×	4	363
Martin Machyna United States	10	482 2.1×	71 1.1×	31 0.5×	25 0.5×	8 0.3×	13	550
Xiang-Yang Zhong United States	9	782 3.4×	27 0.4×	99 1.7×	47 0.9×	14 0.6×	9	920
Matthias Jürgen Schmitt Germany	9	305 1.3×	37 0.6×	34 0.6×	63 1.1×	19 0.8×	16	372
Mulu Geletu Canada	13	392 1.7×	18 0.3×	49 0.8×	79 1.4×	19 0.8×	35	534
Ana Kosoy Spain	11	377 1.7×	21 0.3×	34 0.6×	76 1.4×	5 0.2×	15	457
François Bernardin Luxembourg	10	328 1.4×	29 0.4×	53 0.9×	16 0.3×	8 0.3×	15	454
Zihao Cheng Canada	5	516 2.3×	15 0.2×	37 0.6×	29 0.5×	6 0.3×	7	635

Countries citing papers authored by Laura M. Nocka

Since Specialization

Citations

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

Fields of papers citing papers by Laura M. Nocka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura M. Nocka

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

All Works

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9 of 9 papers shown

Nocka, Laura M., Timothy J. Eisen, Anthony T. Iavarone, Jay T. Groves, & John Kuriyan. (2023). Stimulation of the catalytic activity of the tyrosine kinase Btk by the adaptor protein Grb2. eLife. 12. 8 indexed citations

Lin, Chun‐Wei, Laura M. Nocka, Steven Alvarez, et al.. (2022). A two-component protein condensate of the EGFR cytoplasmic tail and Grb2 regulates Ras activation by SOS at the membrane. Proceedings of the National Academy of Sciences. 119(19). e2122531119–e2122531119. 50 indexed citations

Chung, Jean K., William Y. C. Huang, Catherine B. Carbone, et al.. (2020). Coupled membrane lipid miscibility and phosphotyrosine-driven protein condensation phase transitions. Biophysical Journal. 120(7). 1257–1265. 41 indexed citations

Chung, Jean K., Laura M. Nocka, Qi Wang, et al.. (2019). Switch-like activation of Bruton’s tyrosine kinase by membrane-mediated dimerization. Proceedings of the National Academy of Sciences. 116(22). 10798–10803. 37 indexed citations

Shah, Neel H., Jeanine F. Amacher, Laura M. Nocka, & John Kuriyan. (2018). The Src module: an ancient scaffold in the evolution of cytoplasmic tyrosine kinases. Critical Reviews in Biochemistry and Molecular Biology. 53(5). 535–563. 56 indexed citations

Wang, Wujie, et al.. (2016). Holliday Junction Thermodynamics and Structure: Coarse-Grained Simulations and Experiments. Scientific Reports. 6(1). 22863–22863. 17 indexed citations

Starr, Francis W., et al.. (2016). Holliday Junction Thermodynamics and Structure: Comparisons of Coarse-Grained Simulations and Experiments. Biophysical Journal. 110(3). 178a–178a. 1 indexed citations

Litke, Jacob L., Yan Li, Laura M. Nocka, & Ishita Mukerji. (2016). Probing the Ion Binding Site in a DNA Holliday Junction Using Förster Resonance Energy Transfer (FRET). International Journal of Molecular Sciences. 17(3). 366–366. 7 indexed citations

Wang, Qi, Erik Vogan, Laura M. Nocka, et al.. (2015). Autoinhibition of Bruton's tyrosine kinase (Btk) and activation by soluble inositol hexakisphosphate. eLife. 4. 81 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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