Lloyd Johnston

1.0k total citations
20 papers, 801 citations indexed

About

Lloyd Johnston is a scholar working on Immunology, Nephrology and Rheumatology. According to data from OpenAlex, Lloyd Johnston has authored 20 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Nephrology and 5 papers in Rheumatology. Recurrent topics in Lloyd Johnston's work include Immunotherapy and Immune Responses (7 papers), Gout, Hyperuricemia, Uric Acid (5 papers) and Urticaria and Related Conditions (4 papers). Lloyd Johnston is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), Gout, Hyperuricemia, Uric Acid (5 papers) and Urticaria and Related Conditions (4 papers). Lloyd Johnston collaborates with scholars based in United States, Australia and Sweden. Lloyd Johnston's co-authors include Mark Kramer, Takashi Kishimoto, David H. Altreuter, Michelle L. Coote, Thomas P. Davis, Conlin P. O’Neil, Dianne E. Wiley, D.J. Clements, Petr O. Ilyinskii and Erica Browning and has published in prestigious journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

In The Last Decade

Lloyd Johnston

20 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lloyd Johnston United States 13 299 240 127 90 82 20 801
Zhongping Liu China 20 129 0.4× 172 0.7× 103 0.8× 34 0.4× 11 0.1× 71 1.2k
Zhaoyi Sun China 11 99 0.3× 219 0.9× 251 2.0× 17 0.2× 29 0.4× 26 947
Ziling Wang China 14 51 0.2× 152 0.6× 164 1.3× 34 0.4× 58 0.7× 43 788
Xiangqi Liu China 21 244 0.8× 424 1.8× 109 0.9× 22 0.2× 7 0.1× 70 1.4k
Yongzhi Chen China 17 195 0.7× 194 0.8× 69 0.5× 14 0.2× 8 0.1× 40 912
Mike Hoare United Kingdom 21 42 0.1× 1.0k 4.2× 511 4.0× 37 0.4× 108 1.3× 67 1.5k
Ali Ahmadi Iran 16 28 0.1× 149 0.6× 138 1.1× 13 0.1× 51 0.6× 59 855
Ruixue Wang China 21 89 0.3× 247 1.0× 93 0.7× 11 0.1× 6 0.1× 73 1.1k
Chenhui Li China 14 259 0.9× 142 0.6× 33 0.3× 20 0.2× 7 0.1× 52 746
Wanling Wang China 15 49 0.2× 133 0.6× 52 0.4× 109 1.2× 10 0.1× 52 772

Countries citing papers authored by Lloyd Johnston

Since Specialization
Citations

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

Fields of papers citing papers by Lloyd Johnston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lloyd Johnston

This figure shows the co-authorship network connecting the top 25 collaborators of Lloyd Johnston. A scholar is included among the top collaborators of Lloyd Johnston 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 Lloyd Johnston. Lloyd Johnston 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.
Kivitz, Alan, Wesley DeHaan, Justin Park, et al.. (2023). Phase 2 Dose-Finding Study in Patients with Gout Using SEL-212, a Novel PEGylated Uricase (SEL-037) Combined with Tolerogenic Nanoparticles (SEL-110). Rheumatology and Therapy. 10(4). 825–847. 16 indexed citations
2.
Kivitz, Alan, et al.. (2022). Tolerogenic nanoparticles mitigate the formation of anti-drug antibodies against pegylated uricase in patients with hyperuricemia. Nature Communications. 13(1). 272–272. 40 indexed citations
3.
Ilyinskii, Petr O., Christopher Roy, Sheldon S. Leung, et al.. (2021). ImmTOR nanoparticles enhance AAV transgene expression after initial and repeat dosing in a mouse model of methylmalonic acidemia. Molecular Therapy — Methods & Clinical Development. 22. 279–292. 27 indexed citations
4.
5.
Ilyinskii, Petr O., Kovalev Gi, Conlin P. O’Neil, et al.. (2018). Synthetic vaccine particles for durable cytolytic T lymphocyte responses and anti-tumor immunotherapy. PLoS ONE. 13(6). e0197694–e0197694. 17 indexed citations
6.
Thompson, Elizabeth A., Sebastian Ols, Kazutoyo Miura, et al.. (2018). TLR-adjuvanted nanoparticle vaccines differentially influence the quality and longevity of responses to malaria antigen Pfs25. JCI Insight. 3(10). 54 indexed citations
7.
8.
Kivitz, Alan, et al.. (2018). FRI0234 Sel-212: selective mitigation of anti-drug antibodies against pegsiticase to control serum uric acid in hyperuricemic subjects. Annals of the Rheumatic Diseases. 77. 658–658. 2 indexed citations
9.
Kivitz, Alan, et al.. (2017). THU0422 SEL-212: enhanced serum uric acid control in hyperuricemic patients through selective mitigation of anti-drug antibodies against pegsiticase. Annals of the Rheumatic Diseases. 76. 367–367. 12 indexed citations
10.
Kishimoto, Takashi, Joseph D. Ferrari, Robert A. LaMothe, et al.. (2016). Improving the efficacy and safety of biologic drugs with tolerogenic nanoparticles. Nature Nanotechnology. 11(10). 890–899. 167 indexed citations
11.
Ferrari, Joseph D., Robert A. LaMothe, Aaron P. Griset, et al.. (2015). Tolerogenic synthetic nanoparticles for the prevention of anti-drug antibodies against biologic therapies (TECH3P.936). The Journal of Immunology. 194(1_Supplement). 207.6–207.6. 1 indexed citations
12.
Ilyinskii, Petr O., Chad J. Roy, Conlin P. O’Neil, et al.. (2014). Adjuvant-carrying synthetic vaccine particles augment the immune response to encapsulated antigen and exhibit strong local immune activation without inducing systemic cytokine release. Vaccine. 32(24). 2882–2895. 136 indexed citations
13.
Fraser, Christopher C., David H. Altreuter, Petr O. Ilyinskii, et al.. (2014). Generation of a universal CD4 memory T cell recall peptide effective in humans, mice and non-human primates. Vaccine. 32(24). 2896–2903. 58 indexed citations
14.
Ilyinskii, Petr O., Christopher Roy, Conlin P. O’Neil, et al.. (2014). Adjuvant-carrying synthetic vaccine particles augment the immune response to encapsulated antigen and exhibit strong local immune activation without inducing systemic cytokine release. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
15.
Pittet, Lynnelle A., David H. Altreuter, Petr O. Ilyinskii, et al.. (2012). Development and preclinical evaluation of SEL-068, a novel targeted Synthetic Vaccine Particle ( t SVP™) for smoking cessation and relapse prevention that generates high titers of antibodies against nicotine (75.11). The Journal of Immunology. 188(1_Supplement). 75.11–75.11. 12 indexed citations
16.
Wiley, Dianne E., et al.. (2000). Optimal design of reverse osmosis module networks. AIChE Journal. 46(5). 946–954. 92 indexed citations
17.
Johnston, Lloyd & Mark Kramer. (1998). Estimating state probability distributions from noisy and corrupted data. AIChE Journal. 44(3). 591–602. 10 indexed citations
18.
Coote, Michelle L., Lloyd Johnston, & Thomas P. Davis. (1997). Copolymerization Propagation Kinetics of Styrene and Methyl Methacrylate-Revisited. 2. Kinetic Analysis. Macromolecules. 30(26). 8191–8204. 72 indexed citations
19.
Johnston, Lloyd & Mark Kramer. (1995). Maximum likelihood data rectification: Steady‐state systems. AIChE Journal. 41(11). 2415–2426. 57 indexed citations
20.
Johnston, Lloyd & Mark Kramer. (1994). Probability density estimation using elliptical basis functions. AIChE Journal. 40(10). 1639–1649. 18 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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