Taekyu Park

14 total papers · 474 total citations
12 papers, 414 citations indexed

About

Taekyu Park is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Taekyu Park has authored 12 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Taekyu Park's work include Cytokine Signaling Pathways and Interactions (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Developmental Biology and Gene Regulation (3 papers). Taekyu Park is often cited by papers focused on Cytokine Signaling Pathways and Interactions (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Developmental Biology and Gene Regulation (3 papers). Taekyu Park collaborates with scholars based in South Korea and United States. Taekyu Park's co-authors include Robert A. Schulz, Yongsok Kim, Young Mi Lee, Young Mok Yang, Kyung Do Park, Pramod Darvin, Youn Hee Joung, Hak‐Kyo Lee, Sang‐Kyu Ye and Chang‐Kwon Lee and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Taekyu Park

12 papers receiving 406 citations

Author Peers

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

Author						Papers	Cites
Taekyu Park	278	87	58	36	35	12	414
You Jin Lee	263 0.9×	68 0.8×	89 1.5×	30 0.8×	32 0.9×	14	462
Taeko Nakagawa	224 0.8×	76 0.9×	53 0.9×	26 0.7×	27 0.8×	20	450
Guangjie Sui	197 0.7×	108 1.2×	43 0.7×	34 0.9×	36 1.0×	18	417
Hyereen Kang	230 0.8×	63 0.7×	77 1.3×	31 0.9×	30 0.9×	18	394
Michitaka Notoya	333 1.2×	89 1.0×	44 0.8×	54 1.5×	37 1.1×	11	466
Seon‐Yle Ko	235 0.8×	79 0.9×	50 0.9×	33 0.9×	19 0.5×	17	432
Gabriel L. Navar	255 0.9×	68 0.8×	48 0.8×	22 0.6×	28 0.8×	9	480
Daniel Margerie	239 0.9×	70 0.8×	95 1.6×	28 0.8×	20 0.6×	14	449
Eslam E. Abd El-Fattah	253 0.9×	91 1.0×	71 1.2×	26 0.7×	26 0.7×	18	488
Meenalakshmi Chinnam	267 1.0×	91 1.0×	65 1.1×	16 0.4×	28 0.8×	8	415

Countries citing papers authored by Taekyu Park

Since Specialization

Citations

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

Fields of papers citing papers by Taekyu Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taekyu Park

This figure shows the co-authorship network connecting the top 25 collaborators of Taekyu Park. A scholar is included among the top collaborators of Taekyu 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 Taekyu Park. Taekyu 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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