Ja Ryeong Park

13 total papers · 670 total citations
10 papers, 550 citations indexed

About

Ja Ryeong Park is a scholar working on Molecular Biology, Ecology and Biotechnology. According to data from OpenAlex, Ja Ryeong Park has authored 10 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Ecology and 3 papers in Biotechnology. Recurrent topics in Ja Ryeong Park's work include Genomics and Phylogenetic Studies (7 papers), Microbial Community Ecology and Physiology (5 papers) and Enzyme Production and Characterization (3 papers). Ja Ryeong Park is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Microbial Community Ecology and Physiology (5 papers) and Enzyme Production and Characterization (3 papers). Ja Ryeong Park collaborates with scholars based in South Korea and China. Ja Ryeong Park's co-authors include Jin‐Woo Bae, Sung‐Keun Rhee, Zhe‐Xue Quan, Yong-Ha Park, Sung‐Taik Lee, Jiane Zuo, Yang Yang, Young‐Do Nam, Ho-Won Chang and Insun Lee and has published in prestigious journals such as Applied and Environmental Microbiology, Environmental Microbiology and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

In The Last Decade

Ja Ryeong Park

10 papers receiving 539 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ja Ryeong Park	284	270	234	75	75	10	550
Cinta Gómez-Silván	165 0.6×	192 0.7×	205 0.9×	84 1.1×	39 0.5×	13	609
Richard Hastings	255 0.9×	258 1.0×	121 0.5×	50 0.7×	91 1.2×	21	518
Wim van Doesburg	161 0.6×	231 0.9×	169 0.7×	115 1.5×	92 1.2×	14	611
Elizabeth M. Seviour	250 0.9×	313 1.2×	151 0.6×	79 1.1×	117 1.6×	14	504
Lachlan B. M. Speirs	264 0.9×	256 0.9×	129 0.6×	60 0.8×	68 0.9×	12	481
K.P. Flint	87 0.3×	88 0.3×	112 0.5×	89 1.2×	52 0.7×	25	533
Jean Pierre Nshimyimana	170 0.6×	62 0.2×	160 0.7×	83 1.1×	47 0.6×	10	502
Toby D. Allen	105 0.4×	82 0.3×	274 1.2×	30 0.4×	30 0.4×	10	522
Conrad Shyu	173 0.6×	107 0.4×	257 1.1×	47 0.6×	18 0.2×	14	610
Jessica A. Taylor	205 0.7×	96 0.4×	232 1.0×	33 0.4×	24 0.3×	9	562

Countries citing papers authored by Ja Ryeong Park

Since Specialization

Citations

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

Fields of papers citing papers by Ja Ryeong Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ja Ryeong Park. 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 Ja Ryeong Park. The network helps show where Ja Ryeong Park may publish in the future.

Co-authorship network of co-authors of Ja Ryeong Park

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

All Works

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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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