Pan Dong Ryu

4.1k total citations
123 papers, 3.4k citations indexed

About

Pan Dong Ryu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Pan Dong Ryu has authored 123 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 40 papers in Cellular and Molecular Neuroscience and 24 papers in Physiology. Recurrent topics in Pan Dong Ryu's work include Ion channel regulation and function (38 papers), Neuroscience and Neuropharmacology Research (24 papers) and Cardiac electrophysiology and arrhythmias (13 papers). Pan Dong Ryu is often cited by papers focused on Ion channel regulation and function (38 papers), Neuroscience and Neuropharmacology Research (24 papers) and Cardiac electrophysiology and arrhythmias (13 papers). Pan Dong Ryu collaborates with scholars based in South Korea, United States and Ethiopia. Pan Dong Ryu's co-authors include Mirjana Randić, Kazuyuki Murase, So Yeong Lee, Soo Hwa Jang, Seon Young Choi, Gábor Gerber, Hrvoje Hečimović, Jin Bong Park, Min Seok Song and K.I. Rusin and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Pan Dong Ryu

120 papers receiving 3.4k citations

Author Peers

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

Author Last Decade Papers Cites
Pan Dong Ryu 1.7k 1.3k 861 298 275 123 3.4k
Pyung‐Lim Han 3.3k 1.9× 2.0k 1.5× 1.2k 1.4× 254 0.9× 250 0.9× 141 7.1k
Jin‐Chung Chen 1.0k 0.6× 1.3k 1.0× 530 0.6× 160 0.5× 196 0.7× 114 3.1k
Yongjun Chen 1.2k 0.7× 748 0.6× 411 0.5× 114 0.4× 89 0.3× 174 3.4k
Marco Caprini 2.4k 1.4× 1.6k 1.2× 1.2k 1.4× 233 0.8× 82 0.3× 43 6.6k
Yannick Goumon 1.2k 0.7× 1.1k 0.9× 654 0.8× 158 0.5× 169 0.6× 87 2.7k
Haim Ovadia 1.2k 0.7× 697 0.5× 586 0.7× 208 0.7× 241 0.9× 145 4.4k
Eitan Okun 1.5k 0.9× 668 0.5× 1.2k 1.4× 163 0.5× 80 0.3× 79 5.1k
Russ Chess‐Williams 1.7k 1.0× 1.5k 1.1× 2.0k 2.3× 938 3.1× 326 1.2× 191 6.4k
Elisabetta Polazzi 2.4k 1.4× 1.4k 1.1× 1.2k 1.4× 201 0.7× 88 0.3× 41 7.1k
Sushil K. Mahata 3.9k 2.3× 2.3k 1.7× 994 1.2× 467 1.6× 120 0.4× 187 6.7k

Countries citing papers authored by Pan Dong Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Pan Dong Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pan Dong Ryu. 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 Pan Dong Ryu. The network helps show where Pan Dong Ryu may publish in the future.

Co-authorship network of co-authors of Pan Dong Ryu

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

All Works

20 of 20 papers shown
1.
Scholkmann, Felix, Yiming Shen, & Pan Dong Ryu. (2025). Microscopic analysis of a primo vessel within a lymphatic vessel in a Sprague-Dawley rat. Translational Research in Anatomy. 39. 100402–100402.
2.
Jeong, Seong Mok, et al.. (2024). Developing veterinary basic clinical skill items based on Korean Veterinary Entrustable Professional Activity. Journal of Veterinary Science. 25(5). e71–e71.
3.
Nahm, Sang‐Soep, et al.. (2023). Establishing veterinary graduation competencies and its impact on veterinary medical education in Korea. Journal of Veterinary Science. 24(3). e41–e41. 2 indexed citations
4.
Scholkmann, Felix, Yiming Shen, & Pan Dong Ryu. (2019). Microscopic detection of a red thread-like structure inside primo vessels and primo nodes from the intestine surface of rats. Zurich Open Repository and Archive (University of Zurich). 5 indexed citations
5.
Song, Min Seok, Pan Dong Ryu, & So Yeong Lee. (2017). Kv3.4 is modulated by HIF-1α to protect SH-SY5Y cells against oxidative stress-induced neural cell death. Scientific Reports. 7(1). 2075–2075. 17 indexed citations
6.
Lee, So Yeong, et al.. (2015). Identification of Primo-Vascular System in Abdominal Subcutaneous Tissue Layer of Rats. Evidence-based Complementary and Alternative Medicine. 2015. 1–13. 21 indexed citations
7.
Yoo, Jong‐Hyun, et al.. (2013). Gross Morphological Features of the Organ Surface Primo-Vascular System Revealed by Hemacolor Staining. Evidence-based Complementary and Alternative Medicine. 2013. 1–12. 20 indexed citations
8.
Lee, Seul Ki, Pan Dong Ryu, & So Yeong Lee. (2013). Differential distributions of neuropeptides in hypothalamic paraventricular nucleus neurons projecting to the rostral ventrolateral medulla in the rat. Neuroscience Letters. 556. 160–165. 29 indexed citations
9.
Han, Tae Hee, et al.. (2013). Time course of diurnal rhythm disturbances in autonomic function of rats with myocardial infarction. Autonomic Neuroscience. 179(1-2). 28–36. 6 indexed citations
10.
Park, Jin Bong, et al.. (2011). Property of large conductance Ca2+-activated K+ channels from Fasciola hepatica incorporated into planar lipid bilayer. Veterinary Parasitology. 186(3-4). 281–288. 2 indexed citations
11.
Jia, Zhaofeng, Byung-Cheon Lee, Jin‐Kyu Lee, et al.. (2010). Fluorescent Nanoparticles for Observing Primo Vascular System Along Sciatic Nerve. Journal of Acupuncture and Meridian Studies. 3(3). 150–155. 21 indexed citations
12.
Jang, Soo Hwa, Seon Young Choi, Pan Dong Ryu, & So Yeong Lee. (2010). Anti-proliferative effect of Kv1.3 blockers in A549 human lung adenocarcinoma in vitro and in vivo. European Journal of Pharmacology. 651(1-3). 26–32. 104 indexed citations
13.
Jang, Soo Hwa, et al.. (2009). Kv1.3 voltage-gated K+ channel subunit as a potential diagnostic marker and therapeutic target for breast cancer. BMB Reports. 42(8). 535–539. 60 indexed citations
14.
Eun, Su‐Yong, et al.. (2005). Identification of ASK1, MKK4, JNK, c-Jun, and caspase-3 as a signaling cascade involved in cadmium-induced neuronal cell apoptosis. Biochemical and Biophysical Research Communications. 328(1). 326–334. 131 indexed citations
15.
Park, Jin Bong, et al.. (2004). Ion channels ofFasciola hepaticaincorporated into planar lipid bilayers. Parasitology. 128(1). 83–89. 6 indexed citations
16.
Ryu, Pan Dong, et al.. (2003). Membrane-bound alkaline phosphatase gene induces antitumor effect by G2/M arrest in etoposide phosphate-treated cancer cells. Molecular and Cellular Biochemistry. 252(1-2). 213–221. 7 indexed citations
17.
18.
Won, Jonghwa, et al.. (2001). Induction of Angiogenesis by Expression of Soluble Type II Transforming Growth Factor-β Receptor in Mouse Hepatoma. Journal of Biological Chemistry. 276(42). 38781–38786. 33 indexed citations
19.
Kim, Hee Jeong, et al.. (1999). Cation selective channels formed by a C-terminal fragment of β-amyloid precursor protein. Neuroreport. 10(7). 1427–1431. 17 indexed citations
20.
Randić, Mirjana, Hrvoje Hečimović, & Pan Dong Ryu. (1990). Substance P modulates glutamate-induced currents in acutely isolated rat spinal dorsal horn neurones. Neuroscience Letters. 117(1-2). 74–80. 143 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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