Nicole C. Robb

3.0k total citations
26 papers, 1.5k citations indexed

About

Nicole C. Robb is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Nicole C. Robb has authored 26 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 12 papers in Molecular Biology and 9 papers in Infectious Diseases. Recurrent topics in Nicole C. Robb's work include Influenza Virus Research Studies (13 papers), RNA and protein synthesis mechanisms (11 papers) and Respiratory viral infections research (7 papers). Nicole C. Robb is often cited by papers focused on Influenza Virus Research Studies (13 papers), RNA and protein synthesis mechanisms (11 papers) and Respiratory viral infections research (7 papers). Nicole C. Robb collaborates with scholars based in United Kingdom, France and United States. Nicole C. Robb's co-authors include Ervin Fodor, Frank T. Vreede, Achillefs N. Kapanidis, Oliver Schulz, Caetano Reis e Sousa, Choon Ping Tan, Jan Rehwinkel, William Barclay, Delphine Goubau and Andreas Pichlmair and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Nicole C. Robb

25 papers receiving 1.5k citations

Peers

Nicole C. Robb
Qinshan Gao United States
Yi‐ying Chou United States
S L Zebedee United States
Ruben M. Markosyan United States
Jane Sharps United Kingdom
Sherimay D. Ablan United States
Bhakti Mistry United Kingdom
Qinshan Gao United States
Nicole C. Robb
Citations per year, relative to Nicole C. Robb Nicole C. Robb (= 1×) peers Qinshan Gao

Countries citing papers authored by Nicole C. Robb

Since Specialization
Citations

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

Fields of papers citing papers by Nicole C. Robb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicole C. Robb. 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 Nicole C. Robb. The network helps show where Nicole C. Robb may publish in the future.

Co-authorship network of co-authors of Nicole C. Robb

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole C. Robb. A scholar is included among the top collaborators of Nicole C. Robb 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 Nicole C. Robb. Nicole C. Robb 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.
Groves, Danielle C., Andrew McMahon, Haitian Fan, et al.. (2025). Mechanistic insights into the activity of SARS-CoV-2 RNA polymerase inhibitors using single-molecule FRET. Nucleic Acids Research. 53(8). 1 indexed citations
2.
McMahon, Andrew, et al.. (2024). Engineering stress as a motivation for filamentous virus morphology. SHILAP Revista de lepidopterología. 4(4). 100181–100181.
3.
McMahon, Andrew, Rebecca Andrews, Danielle C. Groves, et al.. (2023). High-throughput super-resolution analysis of influenza virus pleomorphism reveals insights into viral spatial organization. PLoS Pathogens. 19(6). e1011484–e1011484. 11 indexed citations
4.
Groves, Danielle C., et al.. (2023). Single-molecule FRET for virology: 20 years of insight into protein structure and dynamics. Quarterly Reviews of Biophysics. 56. e3–e3. 3 indexed citations
5.
Robb, Nicole C.. (2022). Virus morphology: Insights from super-resolution fluorescence microscopy. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1868(4). 166347–166347. 17 indexed citations
6.
Peto, Leon, Andrew McMahon, Erica Bickerton, et al.. (2021). Amplification-Free Detection of Viruses in Minutes using Single-Particle Imaging and Machine Learning. Biophysical Journal. 120(3). 195a–195a. 1 indexed citations
7.
Robb, Nicole C., Alison Vaughan, Philippa C. Matthews, et al.. (2021). Viral detection and identification in 20 min by rapid single-particle fluorescence in-situ hybridization of viral RNA. Scientific Reports. 11(1). 19579–19579. 18 indexed citations
8.
McMahon, Andrew & Nicole C. Robb. (2020). Reinfection with SARS-CoV-2: Discrete SIR (Susceptible, Infected, Recovered) Modeling Using Empirical Infection Data. JMIR Public Health and Surveillance. 6(4). e21168–e21168. 18 indexed citations
9.
Robb, Nicole C., Aartjan J.W. te Velthuis, Ervin Fodor, & Achillefs N. Kapanidis. (2019). Real-time analysis of single influenza virus replication complexes reveals large promoter-dependent differences in initiation dynamics. Nucleic Acids Research. 47(12). 6466–6477. 11 indexed citations
10.
Robb, Nicole C., et al.. (2019). Rapid functionalisation and detection of viruses via a novel Ca2+-mediated virus-DNA interaction. Scientific Reports. 9(1). 16219–16219. 12 indexed citations
11.
Robb, Nicole C., et al.. (2018). Coming together during viral assembly. Nature Reviews Microbiology. 16(12). 721–721. 2 indexed citations
12.
Gryte, Kristofer, Nicole C. Robb, Zakia Morichaud, et al.. (2017). Conformational heterogeneity and bubble dynamics in single bacterial transcription initiation complexes. Nucleic Acids Research. 46(2). 677–688. 16 indexed citations
13.
Velthuis, Aartjan J.W. te, Nicole C. Robb, Achillefs N. Kapanidis, & Ervin Fodor. (2016). The role of the priming loop in influenza A virus RNA synthesis. Nature Microbiology. 1(5). 16029–16029. 84 indexed citations
14.
Bauer, David L.V., Laurent Fernandez, Nicole C. Robb, et al.. (2016). RNA Polymerase Pausing during Initial Transcription. Molecular Cell. 63(6). 939–950. 68 indexed citations
15.
Robb, Nicole C., Aartjan J.W. te Velthuis, Ralph Wieneke, et al.. (2016). Single-molecule FRET reveals the pre-initiation and initiation conformations of influenza virus promoter RNA. Nucleic Acids Research. 44(21). gkw884–gkw884. 26 indexed citations
16.
Wise, Helen, Edward Hutchinson, Brett W. Jagger, et al.. (2012). Identification of a Novel Splice Variant Form of the Influenza A Virus M2 Ion Channel with an Antigenically Distinct Ectodomain. PLoS Pathogens. 8(11). e1002998–e1002998. 181 indexed citations
17.
Robb, Nicole C., Thorben Cordes, Ling Chin Hwang, et al.. (2012). The Transcription Bubble of the RNA Polymerase–Promoter Open Complex Exhibits Conformational Heterogeneity and Millisecond-Scale Dynamics: Implications for Transcription Start-Site Selection. Journal of Molecular Biology. 425(5). 875–885. 57 indexed citations
18.
Robb, Nicole C. & Ervin Fodor. (2011). The accumulation of influenza A virus segment 7 spliced mRNAs is regulated by the NS1 protein. Journal of General Virology. 93(1). 113–118. 46 indexed citations
19.
Rehwinkel, Jan, Choon Ping Tan, Delphine Goubau, et al.. (2010). RIG-I Detects Viral Genomic RNA during Negative-Strand RNA Virus Infection. Cell. 140(3). 397–408. 473 indexed citations
20.
Robb, Nicole C., David J. Jackson, Frank T. Vreede, & Ervin Fodor. (2010). Splicing of influenza A virus NS1 mRNA is independent of the viral NS1 protein. Journal of General Virology. 91(9). 2331–2340. 48 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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