Nicholas A. Smith

1.5k total citations
37 papers, 1.0k citations indexed

About

Nicholas A. Smith is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Nicholas A. Smith has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Epidemiology. Recurrent topics in Nicholas A. Smith's work include Viral-associated cancers and disorders (8 papers), Cytomegalovirus and herpesvirus research (6 papers) and Cell death mechanisms and regulation (4 papers). Nicholas A. Smith is often cited by papers focused on Viral-associated cancers and disorders (8 papers), Cytomegalovirus and herpesvirus research (6 papers) and Cell death mechanisms and regulation (4 papers). Nicholas A. Smith collaborates with scholars based in United States, Australia and Denmark. Nicholas A. Smith's co-authors include Rosemary Rochford, Carrie B. Coleman, Brian J. Smith, Benjamin E. Gewurz, Michael C. Lawrence, John G. Menting, Hiroshi Kimura, Joanna Gajewiak, Baldomero M. Olivera and Danny Hung‐Chieh Chou and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Nicholas A. Smith

37 papers receiving 1.0k citations

Peers

Nicholas A. Smith
Yi-Ting Cheng United States
Steven Sun United States
Sandhya Boyapalle United States
Jingping Xie United States
Per Björk Sweden
Gayatri Gowrishankar United States
Yi-Ting Cheng United States
Nicholas A. Smith
Citations per year, relative to Nicholas A. Smith Nicholas A. Smith (= 1×) peers Yi-Ting Cheng

Countries citing papers authored by Nicholas A. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas A. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas A. Smith. 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 Nicholas A. Smith. The network helps show where Nicholas A. Smith may publish in the future.

Co-authorship network of co-authors of Nicholas A. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas A. Smith. A scholar is included among the top collaborators of Nicholas A. Smith 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 Nicholas A. Smith. Nicholas A. Smith 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.
Bjørn‐Yoshimoto, Walden E., Kasper K. Sørensen, Nicholas A. Smith, et al.. (2025). Cone snail venom-inspired somatostatin receptor 4 (SSTR4) agonists as new drug leads for peripheral pain. Scientific Reports. 15(1). 42638–42638. 1 indexed citations
2.
Delft, Mark F. van, Xiang Li, Brian J. Smith, et al.. (2024). Key residues in the VDAC2-BAK complex can be targeted to modulate apoptosis. PLoS Biology. 22(5). e3002617–e3002617. 2 indexed citations
3.
Robin, A.Y., Michelle S. Miller, Sweta Iyer, et al.. (2022). Structure of the BAK-activating antibody 7D10 bound to BAK reveals an unexpected role for the α1-α2 loop in BAK activation. Cell Death and Differentiation. 29(9). 1757–1768. 6 indexed citations
4.
Smith, Nicholas A., Ahmad Z. Wardak, Angus D. Cowan, et al.. (2021). The Bak core dimer focuses triacylglycerides in the membrane. Biophysical Journal. 121(3). 347–360. 1 indexed citations
5.
Smith, Nicholas A., Gary C. Chan, & Christine M. O’Connor. (2021). Modulation of host cell signaling during cytomegalovirus latency and reactivation. Virology Journal. 18(1). 207–207. 17 indexed citations
6.
Xiong, Xiaochun, John G. Menting, Maria M. Disotuar, et al.. (2020). A structurally minimized yet fully active insulin based on cone-snail venom insulin principles. Nature Structural & Molecular Biology. 27(7). 615–624. 44 indexed citations
7.
Smith, Nicholas A., Oliver B. Clarke, Mihwa Lee, Anthony N. Hodder, & Brian J. Smith. (2020). Structure of the Plasmodium falciparum PfSERA5 pseudo‐zymogen. Protein Science. 29(11). 2245–2258. 5 indexed citations
8.
Xiong, Xiaochun, John G. Menting, Maria M. Disotuar, et al.. (2020). Author Correction: A structurally minimized yet fully active insulin based on cone-snail venom insulin principles. Nature Structural & Molecular Biology. 27(7). 683–683. 5 indexed citations
9.
Cowan, Angus D., Nicholas A. Smith, Jarrod J. Sandow, et al.. (2020). BAK core dimers bind lipids and can be bridged by them. Nature Structural & Molecular Biology. 27(11). 1024–1031. 47 indexed citations
10.
Rege, Nischay, Ming Liu, Balamurugan Dhayalan, et al.. (2020). “Register-shift” insulin analogs uncover constraints of proteotoxicity in protein evolution. Journal of Biological Chemistry. 295(10). 3080–3098. 10 indexed citations
11.
Disotuar, Maria M., Joanna Gajewiak, Santhosh Karanth, et al.. (2019). Fish-hunting cone snail venoms are a rich source of minimized ligands of the vertebrate insulin receptor. eLife. 8. 49 indexed citations
12.
Wang, Liang Wei, Hongying Shen, Luís Nobre, et al.. (2019). Epstein-Barr-Virus-Induced One-Carbon Metabolism Drives B Cell Transformation. Cell Metabolism. 30(3). 539–555.e11. 128 indexed citations
13.
Sethi, Ashish, Nicholas A. Smith, Daniel J. Scott, et al.. (2017). Distinct activation modes of the Relaxin Family Peptide Receptor 2 in response to insulin-like peptide 3 and relaxin. Scientific Reports. 7(1). 3294–3294. 16 indexed citations
14.
Glidden, Michael D., Yanwu Yang, Nicholas A. Smith, et al.. (2017). Solution structure of an ultra-stable single-chain insulin analog connects protein dynamics to a novel mechanism of receptor binding. Journal of Biological Chemistry. 293(1). 69–88. 10 indexed citations
15.
Menting, John G., Joanna Gajewiak, Christopher A. MacRaild, et al.. (2016). A minimized human insulin-receptor-binding motif revealed in a Conus geographus venom insulin. Nature Structural & Molecular Biology. 23(10). 916–920. 65 indexed citations
16.
Margetts, Mai B., John G. Menting, Nicholas A. Smith, et al.. (2016). Insulin Mimetic Peptide Disrupts the Primary Binding Site of the Insulin Receptor. Journal of Biological Chemistry. 291(30). 15473–15481. 33 indexed citations
17.
Iyer, Sweta, Khatira Anwari, Amber E. Alsop, et al.. (2016). Identification of an activation site in Bak and mitochondrial Bax triggered by antibodies. Nature Communications. 7(1). 11734–11734. 47 indexed citations
18.
Coleman, Carrie B., Eric M. Wohlford, Nicholas A. Smith, et al.. (2014). Epstein-Barr Virus Type 2 Latently Infects T Cells, Inducing an Atypical Activation Characterized by Expression of Lymphotactic Cytokines. Journal of Virology. 89(4). 2301–2312. 79 indexed citations
19.
Sakamoto, Fernanda H., Apostolos G. Doukas, William A. Farinelli, et al.. (2011). Intracutaneous ALA photodynamic therapy: Dose-dependent targeting of skin structures. Lasers in Surgery and Medicine. 43(7). 621–631. 11 indexed citations
20.
Pollard, Andrew J., Edward W Perkins, Nicholas A. Smith, et al.. (2010). Supramolecular Assemblies Formed on an Epitaxial Graphene Superstructure. Angewandte Chemie International Edition. 49(10). 1794–1799. 102 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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