L. Garner

3.6k total citations · 2 hit papers
4 papers, 1.8k citations indexed

About

L. Garner is a scholar working on Infectious Diseases, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, L. Garner has authored 4 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 2 papers in Computational Theory and Mathematics and 1 paper in Molecular Biology. Recurrent topics in L. Garner's work include SARS-CoV-2 and COVID-19 Research (4 papers), Computational Drug Discovery Methods (2 papers) and COVID-19 Clinical Research Studies (2 papers). L. Garner is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), Computational Drug Discovery Methods (2 papers) and COVID-19 Clinical Research Studies (2 papers). L. Garner collaborates with scholars based in United States. L. Garner's co-authors include Yingzhu Li, Cynthia Liu, Qiongqiong Angela Zhou, Janet M. Sasso, Yi Deng and Julian Ivanov and has published in prestigious journals such as ACS Central Science, ACS Omega and ACS Pharmacology & Translational Science.

In The Last Decade

L. Garner

4 papers receiving 1.7k 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.

Research and Development on Therapeutic Agents and Vaccines for COVID-19 and Related Human Coronavirus Diseases

2020 985 citations Cynthia Liu, Qiongqiong Angela Zhou et al. ACS Central Science profile →
Assay Techniques and Test Development for COVID-19 Diagnosis

2020 704 citations L. Garner, Yingzhu Li et al. ACS Central Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L. Garner United States	4	1.2k	526	428	295	161	4	1.8k
Yingzhu Li United States	8	1.3k 1.1×	612 1.2×	439 1.0×	318 1.1×	168 1.0×	9	2.0k
Cynthia Liu United States	16	1.4k 1.1×	1.0k 2.0×	452 1.1×	322 1.1×	178 1.1×	34	2.7k
Jie Sheng China	16	1.4k 1.2×	622 1.2×	227 0.5×	162 0.5×	134 0.8×	41	2.2k
Chan Yang China	15	1.3k 1.1×	638 1.2×	159 0.4×	218 0.7×	132 0.8×	50	2.0k
Hardeep Kaur India	22	897 0.8×	587 1.1×	163 0.4×	333 1.1×	66 0.4×	73	1.9k
Jiangyuan Wang China	11	1.3k 1.1×	359 0.7×	122 0.3×	160 0.5×	149 0.9×	29	1.9k
Lijun Quan China	6	1.3k 1.1×	404 0.8×	117 0.3×	196 0.7×	135 0.8×	10	1.7k
Xianyue Wang China	9	1.3k 1.1×	442 0.8×	118 0.3×	158 0.5×	133 0.8×	13	1.9k
Franck Touret France	18	1.3k 1.1×	362 0.7×	101 0.2×	207 0.7×	56 0.3×	46	1.8k
Feifei Qi China	16	889 0.7×	589 1.1×	112 0.3×	170 0.6×	60 0.4×	33	1.6k

Countries citing papers authored by L. Garner

Since Specialization

Citations

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

Fields of papers citing papers by L. Garner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Garner

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

4 of 4 papers shown

1.

Liu, Cynthia, et al.. (2020). Research and Development on Therapeutic Agents and Vaccines for COVID-19 and Related Human Coronavirus Diseases. ACS Central Science. 6(3). 315–331. 985 indexed citations breakdown →

2.

Ivanov, Julian, Qiongqiong Angela Zhou, Yingzhu Li, et al.. (2020). Quantitative Structure–Activity Relationship Machine Learning Models and their Applications for Identifying Viral 3CLpro- and RdRp-Targeting Compounds as Potential Therapeutics for COVID-19 and Related Viral Infections. ACS Omega. 5(42). 27344–27358. 39 indexed citations

3.

Zhou, Qiongqiong Angela, et al.. (2020). Potential Therapeutic Agents and Associated Bioassay Data for COVID-19 and Related Human Coronavirus Infections. ACS Pharmacology & Translational Science. 3(5). 813–834. 22 indexed citations

4.

Garner, L., et al.. (2020). Assay Techniques and Test Development for COVID-19 Diagnosis. ACS Central Science. 6(5). 591–605. 704 indexed citations breakdown →

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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