Soochi Kim

2.5k total citations
27 papers, 981 citations indexed

About

Soochi Kim is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Soochi Kim has authored 27 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Soochi Kim's work include Single-cell and spatial transcriptomics (4 papers), Muscle Physiology and Disorders (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Soochi Kim is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Muscle Physiology and Disorders (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Soochi Kim collaborates with scholars based in United States, South Korea and Ethiopia. Soochi Kim's co-authors include Yong Sang Song, Boyun Kim, Danny N. Dhanasekaran, Youngjin Han, Se Ik Kim, HyeRan Gwak, Thomas A. Rando, Untack Cho, Seong Jin Kim and Hee‐Seung Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Materials.

In The Last Decade

Soochi Kim

27 papers receiving 973 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soochi Kim United States 17 480 270 233 186 168 27 981
Sangeetha Palakurthi United States 11 654 1.4× 237 0.9× 278 1.2× 52 0.3× 162 1.0× 22 931
Limei Xu China 14 805 1.7× 303 1.1× 148 0.6× 32 0.2× 87 0.5× 24 1.1k
Claudia Geismann Germany 17 636 1.3× 182 0.7× 246 1.1× 31 0.2× 148 0.9× 26 953
Robert X.-D. Song United States 17 807 1.7× 206 0.8× 574 2.5× 78 0.4× 91 0.5× 19 1.8k
Hyunho Yoon South Korea 16 569 1.2× 277 1.0× 365 1.6× 32 0.2× 123 0.7× 30 1.1k
Brendan D. Looyenga United States 15 442 0.9× 162 0.6× 130 0.6× 34 0.2× 59 0.4× 25 734
Joan Lewis-Wambi United States 20 631 1.3× 323 1.2× 424 1.8× 31 0.2× 141 0.8× 31 1.3k
Cecilia J. Proietti Argentina 22 691 1.4× 298 1.1× 689 3.0× 41 0.2× 191 1.1× 37 1.3k
Adriana De Siervi Argentina 22 1.1k 2.2× 357 1.3× 245 1.1× 40 0.2× 67 0.4× 55 1.4k
Hongyan Jin China 20 879 1.8× 557 2.1× 219 0.9× 141 0.8× 111 0.7× 32 1.3k

Countries citing papers authored by Soochi Kim

Since Specialization
Citations

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

Fields of papers citing papers by Soochi Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soochi Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Soochi Kim. A scholar is included among the top collaborators of Soochi 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 Soochi Kim. Soochi Kim 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.
Kang, Jengmin, Jean Farup, Andoni Urtasun, et al.. (2025). In vivo self-renewal and expansion of quiescent stem cells from a non-human primate. Nature Communications. 16(1). 5370–5370. 1 indexed citations
2.
3.
Wu, Di, Caroline Hu, Soochi Kim, et al.. (2025). Bioinstructive scaffolds enhance stem cell engraftment for functional tissue regeneration. Nature Materials. 24(9). 1364–1374. 7 indexed citations
4.
Lee, Juwon, Youngjin Han, Soochi Kim, et al.. (2024). Stearoyl-CoA desaturase 1 inhibition induces ER stress-mediated apoptosis in ovarian cancer cells. Journal of Ovarian Research. 17(1). 73–73. 7 indexed citations
5.
Kim, Soochi, Bugra Ayan, Mahdis Shayan, Thomas A. Rando, & Ngan F. Huang. (2024). Skeletal muscle-on-a-chip in microgravity as a platform for regeneration modeling and drug screening. Stem Cell Reports. 19(8). 1061–1073. 12 indexed citations
6.
Kang, Jengmin, Daniel I. Benjamin, Soochi Kim, et al.. (2024). Depletion of SAM leading to loss of heterochromatin drives muscle stem cell ageing. Nature Metabolism. 6(1). 153–168. 31 indexed citations
7.
Hie, Brian, Soochi Kim, Thomas A. Rando, Bryan D. Bryson, & Bonnie Berger. (2024). Scanorama: integrating large and diverse single-cell transcriptomic datasets. Nature Protocols. 19(8). 2283–2297. 8 indexed citations
8.
Han, Youngjin, Soochi Kim, Wenyu Wang, et al.. (2024). Mitochondrial fission enhances IL‐6‐induced metastatic potential in ovarian cancer via ERK1/2 activation. Cancer Science. 115(5). 1536–1550. 6 indexed citations
9.
Chen, Min, et al.. (2023). Identification of an adipose tissue-resident pro-preadipocyte population. Cell Reports. 42(5). 112440–112440. 15 indexed citations
10.
Benjamin, Daniel I., Jamie O. Brett, Joel S. Benjamin, et al.. (2023). Multiomics reveals glutathione metabolism as a driver of bimodality during stem cell aging. Cell Metabolism. 35(3). 472–486.e6. 34 indexed citations
11.
Liu, Ling, Soochi Kim, Matthew T. Buckley, et al.. (2023). Exercise reprograms the inflammatory landscape of multiple stem cell compartments during mammalian aging. Cell stem cell. 30(5). 689–705.e4. 54 indexed citations
12.
Salvi, Jayesh S., Jengmin Kang, Soochi Kim, et al.. (2022). ATR activity controls stem cell quiescence via the cyclin F–SCF complex. Proceedings of the National Academy of Sciences. 119(18). e2115638119–e2115638119. 9 indexed citations
13.
Benjamin, Daniel I., Joel S. Benjamin, Jengmin Kang, et al.. (2022). Fasting induces a highly resilient deep quiescent state in muscle stem cells via ketone body signaling. Cell Metabolism. 34(6). 902–918.e6. 47 indexed citations
14.
Kim, Soochi, Youngjin Han, Se Ik Kim, et al.. (2018). Tumor evolution and chemoresistance in ovarian cancer. npj Precision Oncology. 2(1). 20–20. 123 indexed citations
15.
Kim, Soochi, Boyun Kim, Se Ik Kim, et al.. (2018). Evaluating Tumor Evolution via Genomic Profiling of Individual Tumor Spheroids in a Malignant Ascites. Scientific Reports. 8(1). 12724–12724. 18 indexed citations
16.
Kim, Soochi, Maria Lee, Danny N. Dhanasekaran, & Yong Sang Song. (2018). Activation of LXRɑ/β by cholesterol in malignant ascites promotes chemoresistance in ovarian cancer. BMC Cancer. 18(1). 1232–1232. 38 indexed citations
17.
Cho, Untack, et al.. (2017). Pro‐inflammatory M1 macrophage enhances metastatic potential of ovarian cancer cells through NF‐κB activation. Molecular Carcinogenesis. 57(2). 235–242. 73 indexed citations
18.
Kim, Boyun, Hee Seung Kim, Soochi Kim, et al.. (2016). Adipose Stromal Cells from Visceral and Subcutaneous Fat Facilitate Migration of Ovarian Cancer Cells via IL-6/JAK2/STAT3 Pathway. Cancer Research and Treatment. 49(2). 338–349. 47 indexed citations
19.
Gwak, HyeRan, Soochi Kim, Danny N. Dhanasekaran, & Yong Sang Song. (2015). Resveratrol triggers ER stress-mediated apoptosis by disrupting N-linked glycosylation of proteins in ovarian cancer cells. Cancer Letters. 371(2). 347–353. 74 indexed citations
20.
Lee, Jung‐Yun, Boyun Kim, Soochi Kim, et al.. (2015). Tumor evolution and intratumor heterogeneity of an epithelial ovarian cancer investigated using next-generation sequencing. BMC Cancer. 15(1). 85–85. 73 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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