Dan E. McNamara

1.3k total citations · 1 hit paper
16 papers, 953 citations indexed

About

Dan E. McNamara is a scholar working on Molecular Biology, Ecology and Geophysics. According to data from OpenAlex, Dan E. McNamara has authored 16 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Ecology and 2 papers in Geophysics. Recurrent topics in Dan E. McNamara's work include Cell death mechanisms and regulation (5 papers), Bacteriophages and microbial interactions (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Dan E. McNamara is often cited by papers focused on Cell death mechanisms and regulation (5 papers), Bacteriophages and microbial interactions (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Dan E. McNamara collaborates with scholars based in United States and Germany. Dan E. McNamara's co-authors include Todd O. Yeates, William Sheffler, David Baker, Jacob B. Bale, Shane Gonen, Tamir Gonen, Neil P. King, Tudor Moldoveanu, Christy R. Grace and Cristina D. Guibao and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Dan E. McNamara

16 papers receiving 940 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Accurate design of co-assembling multi-component protein nanomaterials

2014 448 citations Neil P. King, Jacob B. Bale et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan E. McNamara United States	12	705	232	154	146	103	16	953
Vipul Gujrati Germany	18	542 0.8×	140 0.6×	157 1.0×	170 1.2×	144 1.4×	30	1.4k
Yuxi Liu United States	8	574 0.8×	276 1.2×	140 0.9×	103 0.7×	34 0.3×	10	755
Fabio Parmeggiani United States	15	944 1.3×	117 0.5×	294 1.9×	93 0.6×	33 0.3×	24	1.1k
Una Nattermann United States	7	488 0.7×	250 1.1×	84 0.5×	102 0.7×	38 0.4×	10	685
Jennifer E. Padilla United States	10	1.2k 1.7×	279 1.2×	217 1.4×	210 1.4×	28 0.3×	12	1.4k
Kuang‐Lei Tsai United States	18	1.3k 1.9×	178 0.8×	115 0.7×	98 0.7×	44 0.4×	25	1.6k
Robert A. Langan United States	7	790 1.1×	72 0.3×	124 0.8×	64 0.4×	41 0.4×	8	974
Chang G. Peng United States	10	1.7k 2.4×	130 0.6×	70 0.5×	134 0.9×	97 0.9×	13	2.0k
Supriya Pai United States	6	1.9k 2.6×	107 0.5×	108 0.7×	134 0.9×	127 1.2×	6	2.1k
Genevieve K Phillips United States	7	371 0.5×	150 0.6×	81 0.5×	146 1.0×	47 0.5×	10	629

Countries citing papers authored by Dan E. McNamara

Since Specialization

Citations

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

Fields of papers citing papers by Dan E. McNamara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan E. McNamara. 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 Dan E. McNamara. The network helps show where Dan E. McNamara may publish in the future.

Co-authorship network of co-authors of Dan E. McNamara

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

All Works

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16 of 16 papers shown

1.

Guibao, Cristina D., J. Seetharaman, Anup Aggarwal, et al.. (2022). Structural basis of BAK activation in mitochondrial apoptosis initiation. Nature Communications. 13(1). 250–250. 27 indexed citations

2.

Sawaya, M.R., et al.. (2021). Geometric Lessons and Design Strategies for Nanoscale Protein Cages. ACS Nano. 15(3). 4277–4286. 14 indexed citations

3.

McNamara, Dan E., Cole M. Dovey, Andrew T. Hale, et al.. (2019). Direct Activation of Human MLKL by a Select Repertoire of Inositol Phosphate Metabolites. Cell chemical biology. 26(6). 863–877.e7. 40 indexed citations

4.

Zheng, Janet H., Christy R. Grace, Cristina D. Guibao, et al.. (2018). Intrinsic Instability of BOK Enables Membrane Permeabilization in Apoptosis. Cell Reports. 23(7). 2083–2094.e6. 45 indexed citations

5.

Dovey, Cole M., Jonathan Diep, Andrew T. Hale, et al.. (2018). MLKL Requires the Inositol Phosphate Code to Execute Necroptosis. Molecular Cell. 70(5). 936–948.e7. 128 indexed citations

6.

McNamara, Dan E., Giovanni Quarato, Cliff Guy, Douglas R. Green, & Tudor Moldoveanu. (2018). Characterization of MLKL-mediated Plasma Membrane Rupture in Necroptosis. Journal of Visualized Experiments. 3 indexed citations

7.

McNamara, Dan E., Giovanni Quarato, Cliff Guy, Douglas R. Green, & Tudor Moldoveanu. (2018). Characterization of MLKL-mediated Plasma Membrane Rupture in Necroptosis. Journal of Visualized Experiments. 8 indexed citations

8.

Fallas, Jorge A., George Ueda, William Sheffler, et al.. (2016). Computational design of self-assembling cyclic protein homo-oligomers. Nature Chemistry. 9(4). 353–360. 93 indexed citations

9.

Johnson, Kendra, G. P. Hayes, R. B. Herrmann, et al.. (2016). RMT focal plane sensitivity to seismic network geometry and faulting style. Geophysical Journal International. 206(1). 525–556. 4 indexed citations

10.

McNamara, Dan E., Silvia Senese, Todd O. Yeates, & Jorge Z. Torres. (2015). Structures of potent anticancer compounds bound to tubulin. Protein Science. 24(7). 1164–1172. 22 indexed citations

11.

McNamara, Dan E., Duilio Cascio, Julien Jorda, et al.. (2014). Structure of Dihydromethanopterin Reductase, a Cubic Protein Cage for Redox Transfer. Journal of Biological Chemistry. 289(13). 8852–8864. 11 indexed citations

12.

Sinha, Sharmistha, Shouqiang Cheng, Dan E. McNamara, et al.. (2014). Alanine Scanning Mutagenesis Identifies an Asparagine–Arginine–Lysine Triad Essential to Assembly of the Shell of the Pdu Microcompartment. Journal of Molecular Biology. 426(12). 2328–2345. 52 indexed citations

13.

King, Neil P., Jacob B. Bale, William Sheffler, et al.. (2014). Accurate design of co-assembling multi-component protein nanomaterials. Nature. 510(7503). 103–108. 448 indexed citations breakdown →

14.

McNamara, Dan E., et al.. (2012). Investigating the impact of bisphosphonates and structurally related compounds on bacteria containing conjugative plasmids. Biochemical and Biophysical Research Communications. 424(4). 697–703. 11 indexed citations

15.

Cheng, Yuan, et al.. (2011). Functional Characterization of the Multidomain F Plasmid TraI Relaxase-Helicase. Journal of Biological Chemistry. 286(14). 12670–12682. 14 indexed citations

16.

Vernon, F. L., G. L. Pavlis, Thomas Owens, Dan E. McNamara, & Paul N. Anderson. (1998). Near-surface scattering effects observed with a high-frequency phased array at Pinyon Flats, California. Bulletin of the Seismological Society of America. 88(6). 1548–1560. 33 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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