Blake Mertz

537 total citations
34 papers, 345 citations indexed

About

Blake Mertz is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Blake Mertz has authored 34 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 4 papers in Cognitive Neuroscience. Recurrent topics in Blake Mertz's work include Photoreceptor and optogenetics research (14 papers), Receptor Mechanisms and Signaling (10 papers) and Lipid Membrane Structure and Behavior (9 papers). Blake Mertz is often cited by papers focused on Photoreceptor and optogenetics research (14 papers), Receptor Mechanisms and Signaling (10 papers) and Lipid Membrane Structure and Behavior (9 papers). Blake Mertz collaborates with scholars based in United States, Russia and Germany. Blake Mertz's co-authors include Michael F. Brown, Peter J. Reilly, Scott E. Feller, Jun Feng, Chitrak Gupta, Anthony D. Hill, Andrey V. Struts, Michael C. Pitman, Tod D. Romo and Yue Ren and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Blake Mertz

33 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Blake Mertz United States	13	248	114	43	40	33	34	345
Natalia Voskoboynikova Germany	13	301 1.2×	48 0.4×	44 1.0×	27 0.7×	25 0.8×	21	387
Fernando E. Herrera Argentina	11	217 0.9×	49 0.4×	31 0.7×	43 1.1×	10 0.3×	17	425
Aditya Iyer Netherlands	11	271 1.1×	64 0.6×	19 0.4×	34 0.8×	14 0.4×	15	549
Chuanqi Sun China	10	343 1.4×	55 0.5×	15 0.3×	24 0.6×	16 0.5×	22	646
Shiva Razavi United States	8	489 2.0×	126 1.1×	68 1.6×	27 0.7×	11 0.3×	13	658
Galina E. Pozmogova Russia	20	866 3.5×	73 0.6×	69 1.6×	55 1.4×	14 0.4×	72	1.0k
Marina Corbella Sweden	11	245 1.0×	41 0.4×	24 0.6×	15 0.4×	17 0.5×	19	318
N.V. Pletneva Russia	13	366 1.5×	171 1.5×	70 1.6×	19 0.5×	60 1.8×	29	537
Farzad Jalali‐Yazdi United States	9	235 0.9×	95 0.8×	45 1.0×	19 0.5×	7 0.2×	17	381
Inmaculada Sánchez-Romero Austria	8	293 1.2×	73 0.6×	32 0.7×	13 0.3×	17 0.5×	8	392

Countries citing papers authored by Blake Mertz

Since Specialization

Citations

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

Fields of papers citing papers by Blake Mertz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Blake Mertz. 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 Blake Mertz. The network helps show where Blake Mertz may publish in the future.

Co-authorship network of co-authors of Blake Mertz

This figure shows the co-authorship network connecting the top 25 collaborators of Blake Mertz. A scholar is included among the top collaborators of Blake Mertz 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 Blake Mertz. Blake Mertz 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

Mertz, Blake, et al.. (2024). Gaussian accelerated molecular dynamics simulations facilitate prediction of the permeability of cyclic peptides. PLoS ONE. 19(4). e0300688–e0300688. 3 indexed citations

Scott, Haden L., Andrew C. Dixson, Robert F. Standaert, et al.. (2024). Neutron spin echo shows pHLIP is capable of retarding membrane thickness fluctuations. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1866(7). 184349–184349.

Sinko, William, et al.. (2024). ModBind, a Rapid Simulation-Based Predictor of Ligand Binding and Off-Rates. Journal of Chemical Information and Modeling. 65(1). 265–274. 1 indexed citations

Hussain, Sunyia, Maia Kinnebrew, Matthew N. Idso, et al.. (2022). Lipid membrane mimetics and oligomerization tune functional properties of proteorhodopsin. Biophysical Journal. 122(1). 168–179. 2 indexed citations

Seppälä, Susanna, et al.. (2021). Homo-oligomerization of the human adenosine A2A receptor is driven by the intrinsically disordered C-terminus. eLife. 10. 10 indexed citations

Seppälä, Susanna, et al.. (2021). Oligomerization of the Human Adenosine A2AReceptor is Driven by the Intrinsically Disordered C-Terminus. Biophysical Journal. 120(3). 91a–91a. 1 indexed citations

Gupta, Chitrak, et al.. (2021). In Silico Prediction of the Binding, Folding, Insertion, and Overall Stability of Membrane-Active Peptides. Methods in molecular biology. 2315. 161–182. 3 indexed citations

Mertz, Blake, et al.. (2021). Intramolecular interactions play key role in stabilization of pHLIP at acidic conditions. Journal of Computational Chemistry. 42(25). 1809–1816. 2 indexed citations

Gupta, Chitrak, et al.. (2020). Sodium Ions Hinder the Membrane Insertion of the pH-Low Insertion Peptide. Biophysical Journal. 118(3). 367a–367a. 1 indexed citations

10.

Gupta, Chitrak, et al.. (2019). Ions Modulate Key Interactions between pHLIP and Lipid Membranes. Biophysical Journal. 117(5). 920–929. 20 indexed citations

11.

Feng, Jun, et al.. (2018). Allosteric Effects of the Proton Donor on the Microbial Proton Pump Proteorhodopsin. Biophysical Journal. 115(7). 1240–1250. 3 indexed citations

12.

Gupta, Chitrak, Yue Ren, & Blake Mertz. (2018). Cooperative Nonbonded Forces Control Membrane Binding of the pH-Low Insertion Peptide pHLIP. Biophysical Journal. 115(12). 2403–2412. 14 indexed citations

13.

Mertz, Blake, et al.. (2015). Explaining the mobility of retinal in activated rhodopsin and opsin. Photochemical & Photobiological Sciences. 14(11). 1952–1964. 2 indexed citations

14.

Feng, Jun & Blake Mertz. (2015). Novel Phosphotidylinositol 4,5-Bisphosphate Binding Sites on Focal Adhesion Kinase. PLoS ONE. 10(7). e0132833–e0132833. 14 indexed citations

15.

Mertz, Blake, Michael S.-C. Lu, Michael F. Brown, & Scott E. Feller. (2011). Steric and Electronic Influences on the Torsional Energy Landscape of Retinal. Biophysical Journal. 101(3). L17–L19. 17 indexed citations

16.

Mertz, Blake, Andrey V. Struts, Scott E. Feller, & Michael F. Brown. (2011). Molecular simulations and solid-state NMR investigate dynamical structure in rhodopsin activation. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1818(2). 241–251. 24 indexed citations

17.

Mertz, Blake, Xun Gu, & Peter J. Reilly. (2009). Analysis of functional divergence within two structurally related glycoside hydrolase families. Biopolymers. 91(6). 478–495. 14 indexed citations

18.

Fushinobu, Shinya, Blake Mertz, Anthony D. Hill, et al.. (2008). Computational analyses of the conformational itinerary along the reaction pathway of GH94 cellobiose phosphorylase. Carbohydrate Research. 343(6). 1023–1033. 20 indexed citations

19.

Mertz, Blake, et al.. (2007). Automated docking to explore subsite binding by glycoside hydrolase family 6 cellobiohydrolases and endoglucanases. Biopolymers. 87(4). 249–260. 25 indexed citations

20.

Mertz, Blake, et al.. (2005). Phylogenetic analysis of family 6 glycoside hydrolases. Biopolymers. 79(4). 197–206. 16 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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