Timothy Wessler

812 total citations
17 papers, 588 citations indexed

About

Timothy Wessler is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Timothy Wessler has authored 17 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Infectious Diseases. Recurrent topics in Timothy Wessler's work include Nanoparticle-Based Drug Delivery (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Inhalation and Respiratory Drug Delivery (3 papers). Timothy Wessler is often cited by papers focused on Nanoparticle-Based Drug Delivery (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Inhalation and Respiratory Drug Delivery (3 papers). Timothy Wessler collaborates with scholars based in United States. Timothy Wessler's co-authors include M. Gregory Forest, Samuel K. Lai, Jennifer J. Linderman, Denise E. Kirschner, Louis R. Joslyn, Nicholas A. Cilfone, Stephanie Evans, Joshua T. Mattila, Jess A. Millar and Caitlin Hult and has published in prestigious journals such as Nature Communications, Biophysical Journal and Journal of Controlled Release.

In The Last Decade

Timothy Wessler

17 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timothy Wessler United States	12	177	135	97	89	85	17	588
Pramod Upadhyay India	13	162 0.9×	171 1.3×	83 0.9×	57 0.6×	129 1.5×	47	542
Tadahiro Nakamura Japan	18	466 2.6×	95 0.7×	71 0.7×	85 1.0×	58 0.7×	61	855
Michael de Veer Australia	14	154 0.9×	225 1.7×	37 0.4×	27 0.3×	77 0.9×	28	651
Amir Dagan Israel	16	269 1.5×	73 0.5×	113 1.2×	225 2.5×	58 0.7×	52	1.0k
Farhad Riazi‐Rad Iran	16	281 1.6×	148 1.1×	70 0.7×	30 0.3×	144 1.7×	49	742
Fansheng Kong China	19	393 2.2×	113 0.8×	125 1.3×	55 0.6×	314 3.7×	53	960
Dairong Li China	13	117 0.7×	126 0.9×	68 0.7×	30 0.3×	205 2.4×	39	549
Kazuyoshi Kubo Japan	12	180 1.0×	222 1.6×	60 0.6×	42 0.5×	39 0.5×	32	511
J.A. García de Jalón Spain	15	194 1.1×	41 0.3×	42 0.4×	98 1.1×	104 1.2×	28	742
Brian C. Leonard United States	21	439 2.5×	69 0.5×	54 0.6×	29 0.3×	71 0.8×	81	1.3k

Countries citing papers authored by Timothy Wessler

Since Specialization

Citations

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

Fields of papers citing papers by Timothy Wessler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Wessler

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Wessler, Timothy, Alex Chen, Richard C. Boucher, et al.. (2023). Modeling identifies variability in SARS-CoV-2 uptake and eclipse phase by infected cells as principal drivers of extreme variability in nasal viral load in the 48 h post infection. Journal of Theoretical Biology. 565. 111470–111470. 5 indexed citations

Chen, Alexander, et al.. (2023). Computational Modeling Insights into Extreme Heterogeneity in COVID-19 Nasal Swab Data. Viruses. 16(1). 69–69. 1 indexed citations

Willer, Jason R., et al.. (2023). Disrupting the ciliary gradient of active Arl3 affects rod photoreceptor nuclear migration. eLife. 12. 6 indexed citations

Chen, Alexander, Timothy Wessler, Richard C. Boucher, et al.. (2022). Modeling insights into SARS-CoV-2 respiratory tract infections prior to immune protection. Biophysical Journal. 121(9). 1619–1631. 22 indexed citations

Chen, Alex, Timothy Wessler, & M. Gregory Forest. (2022). Antibody protection from SARS-CoV-2 respiratory tract exposure and infection. Journal of Theoretical Biology. 557. 111334–111334. 11 indexed citations

McSweeney, Morgan D., Timothy Wessler, Zibo Li, et al.. (2022). A PBPK model recapitulates early kinetics of anti-PEG antibody-mediated clearance of PEG-liposomes. Journal of Controlled Release. 343. 518–527. 14 indexed citations

Wessler, Timothy, et al.. (2021). Experimental Data and PBPK Modeling Quantify Antibody Interference in PEGylated Drug Carrier Delivery. Bulletin of Mathematical Biology. 83(12). 123–123. 7 indexed citations

Wessler, Timothy, Louis R. Joslyn, H. Jacob Borish, et al.. (2020). A computational model tracks whole-lung Mycobacterium tuberculosis infection and predicts factors that inhibit dissemination. PLoS Computational Biology. 16(5). e1007280–e1007280. 20 indexed citations

Cilliers, Cornelius, et al.. (2020). An Agent-Based Systems Pharmacology Model of the Antibody-Drug Conjugate Kadcyla to Predict Efficacy of Different Dosing Regimens. The AAPS Journal. 22(2). 29–29. 20 indexed citations

10.

Xu, Feifei, Jay Newby, Holly A. Schroeder, et al.. (2019). Modeling Barrier Properties of Intestinal Mucus Reinforced with IgG and Secretory IgA against Motile Bacteria. ACS Infectious Diseases. 5(9). 1570–1580. 25 indexed citations

11.

Renardy, Marissa, Timothy Wessler, Silvia S. Blemker, et al.. (2019). Data-Driven Model Validation Across Dimensions. Bulletin of Mathematical Biology. 81(6). 1853–1866. 7 indexed citations

12.

McSweeney, Morgan D., Lauren Price, Timothy Wessler, et al.. (2019). Overcoming anti-PEG antibody mediated accelerated blood clearance of PEGylated liposomes by pre-infusion with high molecular weight free PEG. Journal of Controlled Release. 311-312. 138–146. 70 indexed citations

13.

McSweeney, Morgan D., Timothy Wessler, Lauren Price, et al.. (2018). A minimal physiologically based pharmacokinetic model that predicts anti-PEG IgG-mediated clearance of PEGylated drugs in human and mouse. Journal of Controlled Release. 284. 171–178. 66 indexed citations

14.

Cicchese, Joseph M., Stephanie Evans, Caitlin Hult, et al.. (2018). Dynamic balance of pro‐ and anti‐inflammatory signals controls disease and limits pathology. Immunological Reviews. 285(1). 147–167. 233 indexed citations

15.

Newby, Jay, et al.. (2017). A blueprint for robust crosslinking of mobile species in biogels with weakly adhesive molecular anchors. Nature Communications. 8(1). 833–833. 25 indexed citations

16.

Kapustina, Maryna, Denis Tsygankov, Jia Zhao, et al.. (2016). Modeling the Excess Cell Surface Stored in a Complex Morphology of Bleb-Like Protrusions. PLoS Computational Biology. 12(3). e1004841–e1004841. 26 indexed citations

17.

Wessler, Timothy, Alex Chen, Scott A. McKinley, et al.. (2015). Using Computational Modeling To Optimize the Design of Antibodies That Trap Viruses in Mucus. ACS Infectious Diseases. 2(1). 82–92. 30 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.

Explore authors with similar magnitude of impact