Jonathan Guo

980 total citations · 1 hit paper
8 papers, 524 citations indexed

About

Jonathan Guo is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jonathan Guo has authored 8 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 1 paper in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jonathan Guo's work include Cystic Fibrosis Research Advances (3 papers), Virus-based gene therapy research (1 paper) and Fire Detection and Safety Systems (1 paper). Jonathan Guo is often cited by papers focused on Cystic Fibrosis Research Advances (3 papers), Virus-based gene therapy research (1 paper) and Fire Detection and Safety Systems (1 paper). Jonathan Guo collaborates with scholars based in United Kingdom, United States and China. Jonathan Guo's co-authors include Bin Li, Anna Garratt, Andrew Hill, Andrew Hill, Junzheng Wang, Joseph Fortunak, Jingchun Zhang, Hongxia Wang, Dantong Huang and Kam W. Leong and has published in prestigious journals such as Advanced Materials, Pediatric Pulmonology and Journal of Cystic Fibrosis.

In The Last Decade

Jonathan Guo

7 papers receiving 508 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.

Worldwide rates of diagnosis and effective treatment for cystic fibrosis

2022 192 citations Jonathan Guo, Anna Garratt et al. Journal of Cystic Fibrosis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Guo United Kingdom	5	216	101	99	73	53	8	524
Pascal Pfister Switzerland	13	494 2.3×	61 0.6×	26 0.3×	35 0.5×	24 0.5×	21	765
Nazi Torabi Canada	11	68 0.3×	123 1.2×	29 0.3×	99 1.4×	22 0.4×	27	689
Jing Cheng China	12	189 0.9×	53 0.5×	17 0.2×	138 1.9×	58 1.1×	25	667
Zherui Liu China	7	31 0.1×	65 0.6×	108 1.1×	70 1.0×	85 1.6×	11	380
Patrick D. Tyler United States	13	54 0.3×	90 0.9×	24 0.2×	58 0.8×	137 2.6×	31	623
Abiel Roche-Lima Puerto Rico	9	40 0.2×	86 0.9×	31 0.3×	59 0.8×	32 0.6×	46	369
Sarah Enslin United States	6	53 0.2×	29 0.3×	249 2.5×	196 2.7×	136 2.6×	15	593
Hyunseok P. Kang United States	15	147 0.7×	255 2.5×	13 0.1×	57 0.8×	78 1.5×	29	725
Arturo López Pineda United States	8	27 0.1×	82 0.8×	60 0.6×	57 0.8×	129 2.4×	16	366
Hannah Sophie Muti Germany	9	48 0.2×	59 0.6×	297 3.0×	223 3.1×	267 5.0×	15	647

Countries citing papers authored by Jonathan Guo

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Guo

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

All Works

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8 of 8 papers shown

1.

Hong, Justin, et al.. (2026). Mapping kinase-dependent tumor immune adaptation with multiplexed single-cell CRISPR screens. bioRxiv (Cold Spring Harbor Laboratory).

2.

Guo, Jonathan, et al.. (2025). Strategies used to access CFTR modulators in countries without reimbursement agreements. Journal of Cystic Fibrosis. 24(2). 290–294. 1 indexed citations

3.

Guo, Jonathan, et al.. (2024). International disparities in diagnosis and treatment access for cystic fibrosis. Pediatric Pulmonology. 59(6). 1622–1630. 26 indexed citations

4.

Guo, Jonathan, Anna Garratt, & Andrew Hill. (2022). Worldwide rates of diagnosis and effective treatment for cystic fibrosis. Journal of Cystic Fibrosis. 21(3). 456–462. 192 indexed citations breakdown →

5.

Guo, Jonathan, Junzheng Wang, Jingchun Zhang, Joseph Fortunak, & Andrew Hill. (2022). Current prices versus minimum costs of production for CFTR modulators. Journal of Cystic Fibrosis. 21(5). 866–872. 33 indexed citations

6.

Wang, Yuan-Kai, Jonathan Guo, & Tung-Ming Pan. (2022). Multidomain Joint Learning of Pedestrian Detection for Application to Quadrotors. Drones. 6(12). 430–430. 2 indexed citations

7.

Gong, Jing, Hongxia Wang, Yeh‐Hsing Lao, et al.. (2020). A Versatile Nonviral Delivery System for Multiplex Gene‐Editing in the Liver. Advanced Materials. 32(46). e2003537–e2003537. 68 indexed citations

8.

Guo, Jonathan & Bin Li. (2018). The Application of Medical Artificial Intelligence Technology in Rural Areas of Developing Countries. Health Equity. 2(1). 174–181. 202 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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