Sun Ah Nam

976 total citations · 1 hit paper
19 papers, 767 citations indexed

About

Sun Ah Nam is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Sun Ah Nam has authored 19 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Surgery. Recurrent topics in Sun Ah Nam's work include Renal and related cancers (10 papers), Pluripotent Stem Cells Research (4 papers) and Renal cell carcinoma treatment (4 papers). Sun Ah Nam is often cited by papers focused on Renal and related cancers (10 papers), Pluripotent Stem Cells Research (4 papers) and Renal cell carcinoma treatment (4 papers). Sun Ah Nam collaborates with scholars based in South Korea, United States and Japan. Sun Ah Nam's co-authors include Yong Kyun Kim, Dong‐Woo Cho, Hong Lim Kim, Jin Won Kim, Jae Yun Kim, Chul Woo Yang, Jin Kim, Sang Hee Park, Jong‐Young Lee and Narendra K. Singh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biomaterials.

In The Last Decade

Sun Ah Nam

19 papers receiving 761 citations

Hit Papers

Kidney Decellularized Extracellular Matrix Enhanced the V... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun Ah Nam South Korea 13 366 213 151 104 99 19 767
Lin Weng China 14 233 0.6× 194 0.9× 111 0.7× 77 0.7× 61 0.6× 23 685
Jun Xue China 11 288 0.8× 157 0.7× 143 0.9× 64 0.6× 31 0.3× 29 662
J. Doorn Netherlands 14 337 0.9× 225 1.1× 181 1.2× 29 0.3× 63 0.6× 23 878
Biao Zhu China 16 372 1.0× 113 0.5× 133 0.9× 78 0.8× 41 0.4× 27 779
Christian A. Di Buduo Italy 21 409 1.1× 91 0.4× 88 0.6× 30 0.3× 41 0.4× 53 1.3k
Carole Bougault France 19 313 0.9× 72 0.3× 159 1.1× 86 0.8× 39 0.4× 34 921
Akinori Sakai Japan 21 552 1.5× 120 0.6× 155 1.0× 105 1.0× 30 0.3× 45 1.1k
Marijke Koedam Netherlands 14 475 1.3× 79 0.4× 91 0.6× 69 0.7× 72 0.7× 36 984
Marjolein M. J. Caron Netherlands 17 460 1.3× 112 0.5× 231 1.5× 26 0.3× 42 0.4× 56 1.2k

Countries citing papers authored by Sun Ah Nam

Since Specialization
Citations

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

Fields of papers citing papers by Sun Ah Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun Ah Nam. 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 Sun Ah Nam. The network helps show where Sun Ah Nam may publish in the future.

Co-authorship network of co-authors of Sun Ah Nam

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

All Works

19 of 19 papers shown
2.
Kim, Jin Won, Sun Ah Nam, Jawoon Yi, et al.. (2022). Kidney Decellularized Extracellular Matrix Enhanced the Vascularization and Maturation of Human Kidney Organoids. Advanced Science. 9(15). e2103526–e2103526. 124 indexed citations breakdown →
3.
Lee, Soo Young, et al.. (2022). Deep learning predicts the differentiation of kidney organoids derived from human induced pluripotent stem cells. Kidney Research and Clinical Practice. 42(1). 75–85. 23 indexed citations
4.
Suhito, Intan Rosalina, et al.. (2022). In Situ Detection of Kidney Organoid Generation From Stem Cells Using a Simple Electrochemical Method. Advanced Science. 9(20). e2200074–e2200074. 20 indexed citations
5.
Kim, Jin Won, Hyung Wook Kim, Sun Ah Nam, et al.. (2021). Human kidney organoids reveal the role of glutathione in Fabry disease. Experimental & Molecular Medicine. 53(10). 1580–1591. 41 indexed citations
6.
Nam, Sun Ah, Eunjeong Seo, Jin Won Kim, et al.. (2020). Correction to: Graft immaturity and safety concerns in transplanted human kidney organoids. Experimental & Molecular Medicine. 52(1). 180–180. 1 indexed citations
7.
Kim, Jin Won, Sun Ah Nam, Eunjeong Seo, et al.. (2020). Human kidney organoids model the tacrolimus nephrotoxicity and elucidate the role of autophagy. The Korean Journal of Internal Medicine. 36(6). 1420–1436. 17 indexed citations
8.
Lee, Eun Ji, Eunjeong Seo, Jin Won Kim, et al.. (2020). TAZ/Wnt-β-catenin/c-MYC axis regulates cystogenesis in polycystic kidney disease. Proceedings of the National Academy of Sciences. 117(46). 29001–29012. 38 indexed citations
9.
Nam, Sun Ah, Eunjeong Seo, Jin Won Kim, et al.. (2019). Graft immaturity and safety concerns in transplanted human kidney organoids. Experimental & Molecular Medicine. 51(11). 1–13. 67 indexed citations
10.
Singh, Narendra K., et al.. (2019). Three-dimensional cell-printing of advanced renal tubular tissue analogue. Biomaterials. 232. 119734–119734. 120 indexed citations
11.
Nam, Sun Ah, Jin Won Kim, Sang Hee Park, et al.. (2019). Autophagy attenuates tubulointerstital fibrosis through regulating transforming growth factor-β and NLRP3 inflammasome signaling pathway. Cell Death and Disease. 10(2). 78–78. 81 indexed citations
12.
Nam, Sun Ah, Yu‐Mi Kim, Sang Hee Park, et al.. (2019). Atg7-dependent canonical autophagy regulates the degradation of aquaporin 2 in prolonged hypokalemia. Scientific Reports. 9(1). 3021–3021. 13 indexed citations
13.
Kim, Yong Kyun, Sun Ah Nam, & Chul Woo Yang. (2018). Applications of kidney organoids derived from human pluripotent stem cells. The Korean Journal of Internal Medicine. 33(4). 649–659. 27 indexed citations
14.
Nam, Sun Ah, Wan‐Young Kim, Min Gyu Kang, et al.. (2018). Autophagy in FOXD1 stroma-derived cells regulates renal fibrosis through TGF-β and NLRP3 inflammasome pathway. Biochemical and Biophysical Research Communications. 508(3). 965–972. 12 indexed citations
15.
Nam, Sun Ah, Wan‐Young Kim, Sang Hee Park, et al.. (2017). Notch signaling in the collecting duct regulates renal tubulointerstitial fibrosis induced by unilateral ureteral obstruction in mice. The Korean Journal of Internal Medicine. 33(4). 774–782. 9 indexed citations
16.
Seo, Eunjeong, Wan‐Young Kim, Hanbyul Kim, et al.. (2016). The Hippo-Salvador signaling pathway regulates renal tubulointerstitial fibrosis. Scientific Reports. 6(1). 31931–31931. 62 indexed citations
17.
Kim, Wan‐Young, Sun Ah Nam, Yumi Kim, et al.. (2015). Aquaporin 2-labeled cells differentiate to intercalated cells in response to potassium depletion. Histochemistry and Cell Biology. 145(1). 17–24. 11 indexed citations
18.
Kim, Yumi, Wan‐Young Kim, Sun Ah Nam, et al.. (2015). Correction: Role of Prox1 in the Transforming Ascending Thin Limb of Henle's Loop during Mouse Kidney Development. PLoS ONE. 10(9). e0139498–e0139498. 2 indexed citations
19.
Kim, Wan‐Young, Sun Ah Nam, Ho Cheol Song, et al.. (2011). The role of autophagy in unilateral ureteral obstruction rat model. Nephrology. 17(2). 148–159. 94 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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