Yu-Mee Kim

448 total citations
7 papers, 347 citations indexed

About

Yu-Mee Kim is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Yu-Mee Kim has authored 7 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 4 papers in Molecular Biology and 2 papers in Cancer Research. Recurrent topics in Yu-Mee Kim's work include Pulmonary Hypertension Research and Treatments (6 papers), Nitric Oxide and Endothelin Effects (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). Yu-Mee Kim is often cited by papers focused on Pulmonary Hypertension Research and Treatments (6 papers), Nitric Oxide and Endothelin Effects (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). Yu-Mee Kim collaborates with scholars based in United States, India and Italy. Yu-Mee Kim's co-authors include Cristina M. Alvira, Lingli Wang, Marlene Rabinovitch, Edda Spiekerkoetter, David N. Cornfield, Leila Haghighat, Hirofumi Sawada, Lihua Ying, Sushma Reddy and Aiqin Cao and has published in prestigious journals such as The Journal of Experimental Medicine, Circulation Research and American Journal Of Pathology.

In The Last Decade

Yu-Mee Kim

7 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu-Mee Kim United States	7	242	117	73	71	49	7	347
Maggie M. Zhu United States	6	338 1.4×	185 1.6×	162 2.2×	119 1.7×	58 1.2×	8	476
Zachary M. Augur United States	6	136 0.6×	136 1.2×	85 1.2×	78 1.1×	32 0.7×	7	362
Prakash Chelladurai Germany	10	276 1.1×	219 1.9×	135 1.8×	84 1.2×	32 0.7×	15	450
Emina Vorkapić Sweden	12	151 0.6×	90 0.8×	56 0.8×	92 1.3×	106 2.2×	18	357
Kazuhiko Numano Japan	5	127 0.5×	129 1.1×	42 0.6×	95 1.3×	32 0.7×	7	279
Nina Rol Netherlands	9	340 1.4×	100 0.9×	41 0.6×	182 2.6×	42 0.9×	12	417
Eric Shuffle United States	6	172 0.7×	105 0.9×	46 0.6×	51 0.7×	72 1.5×	11	373
Fatima Zahra Saddouk United States	6	107 0.4×	162 1.4×	64 0.9×	54 0.8×	26 0.5×	8	293
Kozo Fujii Japan	5	287 1.2×	99 0.8×	41 0.6×	102 1.4×	151 3.1×	8	458
Jennifer Bordenave France	8	263 1.1×	85 0.7×	37 0.5×	91 1.3×	41 0.8×	13	371

Countries citing papers authored by Yu-Mee Kim

Since Specialization

Citations

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

Fields of papers citing papers by Yu-Mee Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Mee Kim. 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 Yu-Mee Kim. The network helps show where Yu-Mee Kim may publish in the future.

Co-authorship network of co-authors of Yu-Mee Kim

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

All Works

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7 of 7 papers shown

Wang, Lingli, Jan-Renier Moonen, Aiqin Cao, et al.. (2023). Dysregulated Smooth Muscle Cell BMPR2–ARRB2 Axis Causes Pulmonary Hypertension. Circulation Research. 132(5). 545–564. 22 indexed citations

Sawada, Hirofumi, Toshie Saito, Nils Nickel, et al.. (2014). Reduced BMPR2 expression induces GM-CSF translation and macrophage recruitment in humans and mice to exacerbate pulmonary hypertension. The Journal of Experimental Medicine. 211(2). 263–280. 120 indexed citations

Kim, Yu-Mee, et al.. (2013). Hypoxia-Inducible Factor-1α in Pulmonary Artery Smooth Muscle Cells Lowers Vascular Tone by Decreasing Myosin Light Chain Phosphorylation. Circulation Research. 112(9). 1230–1233. 57 indexed citations

Kim, Yu-Mee, Leila Haghighat, Edda Spiekerkoetter, et al.. (2011). Neutrophil Elastase Is Produced by Pulmonary Artery Smooth Muscle Cells and Is Linked to Neointimal Lesions. American Journal Of Pathology. 179(3). 1560–1572. 71 indexed citations

Ahn, Yongtae, et al.. (2011). Hypoxia-inducible factor-1α regulates KCNMB1 expression in human pulmonary artery smooth muscle cells. American Journal of Physiology-Lung Cellular and Molecular Physiology. 302(3). L352–L359. 31 indexed citations

Tal, Tamara, Philip A. Bromberg, Yu-Mee Kim, & James M. Samet. (2008). Epidermal growth factor receptor activation by diesel particles is mediated by tyrosine phosphatase inhibition. Toxicology and Applied Pharmacology. 233(3). 382–388. 16 indexed citations

Spiekerkoetter, Edda, Cristina M. Alvira, Yu-Mee Kim, et al.. (2007). Reactivation of γHV68 induces neointimal lesions in pulmonary arteries of S100A4/Mts1-overexpressing mice in association with degradation of elastin. American Journal of Physiology-Lung Cellular and Molecular Physiology. 294(2). L276–L289. 30 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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