Robert J. Rawle

958 total citations
21 papers, 670 citations indexed

About

Robert J. Rawle is a scholar working on Molecular Biology, Epidemiology and Biomaterials. According to data from OpenAlex, Robert J. Rawle has authored 21 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Epidemiology and 4 papers in Biomaterials. Recurrent topics in Robert J. Rawle's work include Lipid Membrane Structure and Behavior (11 papers), Influenza Virus Research Studies (6 papers) and RNA Interference and Gene Delivery (3 papers). Robert J. Rawle is often cited by papers focused on Lipid Membrane Structure and Behavior (11 papers), Influenza Virus Research Studies (6 papers) and RNA Interference and Gene Delivery (3 papers). Robert J. Rawle collaborates with scholars based in United States, Sweden and Czechia. Robert J. Rawle's co-authors include Steven G. Boxer, Laura D. Hughes, Peter M. Kasson, Bettina van Lengerich, Poul Martin Bendix, Malkiat S. Johal, Anna Pabis, Isabel N. Goronzy, Minsub Chung and Elizabeth R. Webster and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Robert J. Rawle

21 papers receiving 668 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert J. Rawle United States	13	494	115	93	67	59	21	670
Justin L. Lorieau United States	14	559 1.1×	57 0.5×	172 1.8×	42 0.6×	33 0.6×	26	923
Pascal Lill Germany	7	675 1.4×	58 0.5×	39 0.4×	87 1.3×	66 1.1×	12	991
Pooja Sridhar United Kingdom	11	674 1.4×	93 0.8×	36 0.4×	59 0.9×	23 0.4×	22	903
Frédéric Eghiaian France	11	641 1.3×	122 1.1×	88 0.9×	155 2.3×	58 1.0×	15	957
Haijiao Xu China	20	530 1.1×	179 1.6×	49 0.5×	129 1.9×	40 0.7×	52	998
D. Amorós Spain	9	500 1.0×	72 0.6×	28 0.3×	63 0.9×	31 0.5×	14	696
Sultan Doğanay United States	9	283 0.6×	36 0.3×	177 1.9×	53 0.8×	88 1.5×	10	567
Daniel L. Floyd United States	10	365 0.7×	99 0.9×	118 1.3×	54 0.8×	61 1.0×	13	665
Waldemar Schrimpf Germany	14	370 0.7×	101 0.9×	36 0.4×	32 0.5×	64 1.1×	16	786
María Josefa Rodríguez Spain	11	300 0.6×	111 1.0×	43 0.5×	70 1.0×	20 0.3×	17	686

Countries citing papers authored by Robert J. Rawle

Since Specialization

Citations

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

Fields of papers citing papers by Robert J. Rawle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Rawle. 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 Robert J. Rawle. The network helps show where Robert J. Rawle may publish in the future.

Co-authorship network of co-authors of Robert J. Rawle

This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. Rawle. A scholar is included among the top collaborators of Robert J. Rawle 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 Robert J. Rawle. Robert J. Rawle 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

Kim, Eunice, et al.. (2024). Lipid loss and compositional change during preparation of simple two-component liposomes. PubMed. 4(3). 100174–100174. 4 indexed citations

Lam, Amy, et al.. (2022). Single-virus assay reveals membrane determinants and mechanistic features of Sendai virus binding. Biophysical Journal. 121(6). 956–965. 13 indexed citations

Kim, Eunice, et al.. (2022). Choice of buffer in mobile phase can substantially alter peak areas in quantification of lipids by HPLC-ELSD. Journal of Chromatography B. 1209. 123417–123417. 6 indexed citations

Lam, Amy, et al.. (2022). Viral Size Modulates Sendai Virus Binding to Cholesterol-Stabilized Receptor Nanoclusters. The Journal of Physical Chemistry B. 126(36). 6802–6810. 4 indexed citations

Webster, Elizabeth R., et al.. (2022). Modulating the Influenza A Virus–Target Membrane Fusion Interface With Synthetic DNA–Lipid Receptors. Langmuir. 38(7). 2354–2362. 7 indexed citations

Kim, Eunice, et al.. (2022). Choice of Buffer in Mobile Phase Can Substantially Modulate Peak Areas in Quantification of Lipids by Hplc-Elsd. SSRN Electronic Journal. 1 indexed citations

Lam, Amy, et al.. (2021). Single-Virus Investigation of Non-Sialic-Acid-Mediated Sendai Virus Binding to Supported Lipid Bilayers in the Absence of Ganglioside Receptor. Biophysical Journal. 120(3). 320a–320a. 1 indexed citations

Pabis, Anna, Robert J. Rawle, & Peter M. Kasson. (2020). Influenza hemagglutinin drives viral entry via two sequential intramembrane mechanisms. Proceedings of the National Academy of Sciences. 117(13). 7200–7207. 43 indexed citations

Rawle, Robert J., et al.. (2020). Kinetic Modeling of West Nile Virus Fusion Indicates an Off-Pathway State. ACS Infectious Diseases. 6(12). 3260–3268. 2 indexed citations

10.

Rawle, Robert J., Ana M. Villamil Giraldo, Steven G. Boxer, & Peter M. Kasson. (2019). Detecting and Controlling Dye Effects in Single-Virus Fusion Experiments. Biophysical Journal. 117(3). 445–452. 19 indexed citations

11.

Goronzy, Isabel N., Robert J. Rawle, Steven G. Boxer, & Peter M. Kasson. (2018). Cholesterol enhances influenza binding avidity by controlling nanoscale receptor clustering. Chemical Science. 9(8). 2340–2347. 43 indexed citations

12.

Rawle, Robert J., et al.. (2018). pH Dependence of Zika Membrane Fusion Kinetics Reveals an Off-Pathway State. ACS Central Science. 4(11). 1503–1510. 36 indexed citations

13.

Rawle, Robert J., Steven G. Boxer, & Peter M. Kasson. (2016). Disentangling Viral Membrane Fusion from Receptor Binding Using Synthetic DNA-Lipid Conjugates. Biophysical Journal. 111(1). 123–131. 33 indexed citations

14.

Rawle, Robert J., et al.. (2016). Influenza viral membrane fusion is sensitive to sterol concentration but surprisingly robust to sterol chemical identity. Scientific Reports. 6(1). 29842–29842. 23 indexed citations

15.

Hughes, Laura D., Robert J. Rawle, & Steven G. Boxer. (2014). Choose Your Label Wisely: Water-Soluble Fluorophores Often Interact with Lipid Bilayers. PLoS ONE. 9(2). e87649–e87649. 232 indexed citations

16.

Lengerich, Bettina van, Robert J. Rawle, Poul Martin Bendix, & Steven G. Boxer. (2013). Individual Vesicle Fusion Events Mediated by Lipid-Anchored DNA. Biophysical Journal. 105(2). 409–419. 64 indexed citations

17.

Rawle, Robert J., Bettina van Lengerich, Minsub Chung, Poul Martin Bendix, & Steven G. Boxer. (2011). Vesicle Fusion Observed by Content Transfer across a Tethered Lipid Bilayer. Biophysical Journal. 101(8). L37–L39. 47 indexed citations

18.

Lengerich, Bettina van, Robert J. Rawle, & Steven G. Boxer. (2010). Covalent Attachment of Lipid Vesicles to a Fluid-Supported Bilayer Allows Observation of DNA-Mediated Vesicle Interactions. Langmuir. 26(11). 8666–8672. 46 indexed citations

19.

Rawle, Robert J., et al.. (2008). A Quartz Crystal Microbalance Study of Polycation-Supported Single and Double Stranded DNA Surfaces. Biomacromolecules. 9(12). 3416–3421. 9 indexed citations

20.

Rawle, Robert J., et al.. (2007). Creation of Mammalian Single- and Double-Stranded DNA Surfaces: A Real-Time QCM-D Study. Langmuir. 23(19). 9563–9566. 20 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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