John Garner

21.2k total citations
3 papers, 298 citations indexed

About

John Garner is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, John Garner has authored 3 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Genetics and 0 papers in Infectious Diseases. Recurrent topics in John Garner's work include Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers) and Genomic variations and chromosomal abnormalities (1 paper). John Garner is often cited by papers focused on Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers) and Genomic variations and chromosomal abnormalities (1 paper). John Garner collaborates with scholars based in United States and United Kingdom. John Garner's co-authors include Supriyo De, Kevin G. Becker, Deanna M. Church, Ilkka Lappalainen, John Lopez, Paul Flicek, Michael E. Maguire, Justin Paschall, Timothy Hefferon and George Zhou and has published in prestigious journals such as Nucleic Acids Research, Physiological Genomics and BMC Medical Genomics.

In The Last Decade

John Garner

3 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Garner United States	3	208	142	46	19	12	3	298
Shengjun Hong China	6	258 1.2×	156 1.1×	88 1.9×	20 1.1×	14 1.2×	9	389
Zachary Zappala United States	6	266 1.3×	244 1.7×	73 1.6×	28 1.5×	16 1.3×	6	420
Zhanye Zheng China	6	159 0.8×	107 0.8×	25 0.5×	16 0.8×	20 1.7×	7	255
Ke Zhao China	7	176 0.8×	95 0.7×	31 0.7×	6 0.3×	17 1.4×	17	263
Sunita Kawane United States	7	249 1.2×	70 0.5×	53 1.2×	17 0.9×	51 4.3×	8	321
Omer Basha Israel	10	283 1.4×	51 0.4×	38 0.8×	20 1.1×	19 1.6×	12	345
Guang-Yao Fan China	11	300 1.4×	149 1.0×	23 0.5×	17 0.9×	10 0.8×	32	407
Jeremy R. B. Newman United States	10	143 0.7×	59 0.4×	24 0.5×	14 0.7×	14 1.2×	21	299
Kyung Dae Ko United States	9	261 1.3×	37 0.3×	28 0.6×	19 1.0×	34 2.8×	18	324
Junghyun Eom South Korea	5	270 1.3×	93 0.7×	43 0.9×	25 1.3×	11 0.9×	7	336

Countries citing papers authored by John Garner

Since Specialization

Citations

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

Fields of papers citing papers by John Garner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Garner

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

All Works

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3 of 3 papers shown

1.

Lappalainen, Ilkka, John Lopez, Lisa Skipper, et al.. (2012). dbVar and DGVa: public archives for genomic structural variation. Nucleic Acids Research. 41(D1). D936–D941. 174 indexed citations

2.

De, Supriyo, et al.. (2010). Systematic analysis, comparison, and integration of disease based human genetic association data and mouse genetic phenotypic information. BMC Medical Genomics. 3(1). 1–1. 109 indexed citations

3.

De, Supriyo, et al.. (2010). Disease and phenotype gene set analysis of disease-based gene expression in mouse and human. Physiological Genomics. 42A(2). 162–167. 15 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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