Dae-Ryong Cha

628 total citations
2 papers, 25 citations indexed

About

Dae-Ryong Cha is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Dae-Ryong Cha has authored 2 papers receiving a total of 25 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Oncology and 1 paper in Epidemiology. Recurrent topics in Dae-Ryong Cha's work include Retinoids in leukemia and cellular processes (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). Dae-Ryong Cha is often cited by papers focused on Retinoids in leukemia and cellular processes (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). Dae-Ryong Cha collaborates with scholars based in South Korea. Dae-Ryong Cha's co-authors include Mihwa Lee, So‐Young Choi, Min‐Goo Lee, Young‐Sik Kim, Jee‐Young Han, Wonbeak Yoo, Junseo Oh, Hong Sik Lee, Sangeun Park and Kyungmin Choi and has published in prestigious journals such as EMBO Molecular Medicine and Kidney Research and Clinical Practice.

In The Last Decade

Dae-Ryong Cha

2 papers receiving 25 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dae-Ryong Cha South Korea	2	15	14	8	7	4	2	25
Nimali Fernando Sri Lanka	2	14 0.9×	11 0.8×	3 0.4×	4 0.6×	7 1.8×	2	34
X. B. Qu China	3	3 0.2×	11 0.8×	16 2.0×	5 0.7×	4 1.0×	5	35
T. Williams United Kingdom	2	12 0.8×	13 0.9×	27 3.4×		5 1.3×	2	45
Foteini Athanasopoulou United Kingdom	2	3 0.2×	7 0.5×	15 1.9×	3 0.4×	5 1.3×	2	29
Abdolvahab Moradi Iran	3	4 0.3×	9 0.6×	3 0.4×			7	14
Stanislas Pol France	2	4 0.3×	10 0.7×	11 1.4×		2 0.5×	2	26
Chanel Richardson United States	1	5 0.3×	3 0.2×	3 0.4×		6 1.5×	2	11
Zheng Ying China	2	2 0.1×	6 0.4×	6 0.8×		3 0.8×	5	16
Jennifer Haiduk Germany	3		11 0.8×	5 0.6×	5 0.7×	7 1.8×	4	25

Countries citing papers authored by Dae-Ryong Cha

Since Specialization

Citations

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

Fields of papers citing papers by Dae-Ryong Cha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae-Ryong Cha. 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 Dae-Ryong Cha. The network helps show where Dae-Ryong Cha may publish in the future.

Co-authorship network of co-authors of Dae-Ryong Cha

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

All Works

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2 of 2 papers shown

1.

Lee, Hong Sik, Sangeun Park, Wonbeak Yoo, et al.. (2015). Fusion protein of retinol‐binding protein and albumin domain III reduces liver fibrosis. EMBO Molecular Medicine. 7(6). 819–830. 24 indexed citations

2.

Han, Sang Youb, et al.. (2007). Combination Treatment with Retinoid and Peroxisome Proliferator-Activated Receptors (PPAR)-$\gamma$ Agonist on Streptozotocin-Induced Diabetic Nephropathy. Kidney Research and Clinical Practice. 26(5). 526–533. 1 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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