Christopher A. Lino

1.7k total citations · 1 hit paper
6 papers, 1.2k citations indexed

About

Christopher A. Lino is a scholar working on Molecular Biology, Ecology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Christopher A. Lino has authored 6 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Ecology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Christopher A. Lino's work include Bacteriophages and microbial interactions (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and vaccines and immunoinformatics approaches (1 paper). Christopher A. Lino is often cited by papers focused on Bacteriophages and microbial interactions (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and vaccines and immunoinformatics approaches (1 paper). Christopher A. Lino collaborates with scholars based in United States. Christopher A. Lino's co-authors include Jason C. Harper, James P. Carney, Jerilyn A. Timlin, David S. Peabody, Bryce Chackerian, Eric C. Carnes, Mark B. Carter, Paul N. Durfee, Genevieve K Phillips and Walker Wharton and has published in prestigious journals such as ACS Nano, PLoS Pathogens and Vaccine.

In The Last Decade

Christopher A. Lino

6 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Delivering CRISPR: a review of the challenges and approaches

2018 785 citations Christopher A. Lino, Jason C. Harper et al. Drug Delivery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher A. Lino United States	5	900	260	206	111	93	6	1.2k
Rhiannon K. Macrae United States	18	1.3k 1.5×	299 1.1×	165 0.8×	77 0.7×	90 1.0×	33	1.6k
Elena Soria Spain	10	1.6k 1.7×	376 1.4×	272 1.3×	135 1.2×	202 2.2×	23	1.9k
Alexandra East-Seletsky United States	7	2.0k 2.2×	224 0.9×	95 0.5×	104 0.9×	165 1.8×	7	2.1k
Ross C. Wilson United States	13	1.3k 1.5×	229 0.9×	87 0.4×	55 0.5×	32 0.3×	21	1.5k
Yen Choo United Kingdom	22	2.3k 2.5×	314 1.2×	183 0.9×	62 0.6×	22 0.2×	43	2.5k
Addison V. Wright United States	9	1.5k 1.7×	354 1.4×	121 0.6×	151 1.4×	172 1.8×	9	1.6k
Daryll Vanover United States	18	1.4k 1.6×	296 1.1×	79 0.4×	209 1.9×	22 0.2×	27	1.9k
Gary F. Gerard United States	18	926 1.0×	317 1.2×	123 0.6×	131 1.2×	18 0.2×	35	1.4k
Hannah E. Peck United States	11	816 0.9×	124 0.5×	55 0.3×	44 0.4×	17 0.2×	19	1.0k
Elitza Deltcheva United Kingdom	7	1.9k 2.1×	423 1.6×	172 0.8×	137 1.2×	249 2.7×	10	2.0k

Countries citing papers authored by Christopher A. Lino

Since Specialization

Citations

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

Fields of papers citing papers by Christopher A. Lino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher A. Lino

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher A. Lino. A scholar is included among the top collaborators of Christopher A. Lino 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 Christopher A. Lino. Christopher A. Lino 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:

6 of 6 papers shown

1.

Lino, Christopher A., Jason C. Harper, James P. Carney, & Jerilyn A. Timlin. (2018). Delivering CRISPR: a review of the challenges and approaches. Drug Delivery. 25(1). 1234–1257. 785 indexed citations breakdown →

2.

Lino, Christopher A., Jerri C. Caldeira, & David S. Peabody. (2017). Display of single-chain variable fragments on bacteriophage MS2 virus-like particles. Journal of Nanobiotechnology. 15(1). 13–13. 18 indexed citations

3.

Price, Dominique N., et al.. (2016). Oral Tolerance to Environmental Mycobacteria Interferes with Intradermal, but Not Pulmonary, Immunization against Tuberculosis. PLoS Pathogens. 12(5). e1005614–e1005614. 27 indexed citations

4.

Giavedoni, Luis D., Lisa M. Smith, Eric C. Carnes, et al.. (2015). Antiviral therapy by targeting nanoparticles to CD4 + cells for the delivery of SIV-specific RNA-guided Cas9 nucleases. Journal of Virus Eradication. 1. 15–15. 1 indexed citations

5.

Ashley, Carlee E., Eric C. Carnes, Genevieve K Phillips, et al.. (2011). Cell-Specific Delivery of Diverse Cargos by Bacteriophage MS2 Virus-like Particles. ACS Nano. 5(7). 5729–5745. 277 indexed citations

6.

Kines, Rhonda C., et al.. (2010). Immunogenic display of diverse peptides, including a broadly cross-type neutralizing human papillomavirus L2 epitope, on virus-like particles of the RNA bacteriophage PP7. Vaccine. 28(27). 4384–4393. 72 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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