Areum Jo

713 total citations
13 papers, 430 citations indexed

About

Areum Jo is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Areum Jo has authored 13 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Immunology. Recurrent topics in Areum Jo's work include Single-cell and spatial transcriptomics (7 papers), Immune cells in cancer (5 papers) and Immune Cell Function and Interaction (4 papers). Areum Jo is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Immune cells in cancer (5 papers) and Immune Cell Function and Interaction (4 papers). Areum Jo collaborates with scholars based in South Korea, Ethiopia and Canada. Areum Jo's co-authors include Hae‐Ock Lee, Woong‐Yang Park, Woosung Chung, Nayoung Kim, Hye Hyeon Eum, Daeun Ryu, Yourae Hong, Hye Won Lee, Joung Eun Lim and Kyeung Min Joo and has published in prestigious journals such as Nature Biotechnology, Clinical Cancer Research and Genome Research.

In The Last Decade

Areum Jo

13 papers receiving 424 citations

Peers

Areum Jo
Hannah J. Whiteman United Kingdom
Obi L. Griffith United States
Kelly E. Craven United States
Wen Min Lau United States
Areum Jo
Citations per year, relative to Areum Jo Areum Jo (= 1×) peers Lucia Bongiovanni

Countries citing papers authored by Areum Jo

Since Specialization
Citations

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

Fields of papers citing papers by Areum Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Areum Jo

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

All Works

13 of 13 papers shown
1.
Kim, Nayoung, et al.. (2024). Characterization of an orthotopic mouse transplant model reveals early changes in the tumor microenvironment of lung cancer. BMB Reports. 57(11). 484–489. 1 indexed citations
2.
Eum, Hye Hyeon, Nayoung Kim, Areum Jo, et al.. (2024). Single-cell RNA sequencing reveals myeloid and T cell co-stimulation mediated by IL-7 anti-cancer immunotherapy. British Journal of Cancer. 130(8). 1388–1401. 8 indexed citations
3.
Hwang, Sohyun, Haeyoun Kang, Areum Jo, et al.. (2024). Altered tumor signature and T‐cell profile after chemotherapy reveal new therapeutic opportunities in high‐grade serous ovarian carcinoma. Cancer Science. 115(3). 989–1000. 4 indexed citations
4.
Kwon, Joonha, Junho Kang, Areum Jo, et al.. (2023). Single-cell mapping of combinatorial target antigens for CAR switches using logic gates. Nature Biotechnology. 41(11). 1593–1605. 21 indexed citations
5.
Kim, Nayoung, et al.. (2023). Perspectives on single-nucleus RNA sequencing in different cell types and tissues. Journal of Pathology and Translational Medicine. 57(1). 52–59. 27 indexed citations
6.
Jo, Areum, et al.. (2023). CTLA‐4 inhibition facilitates follicular T and B cell interaction and the production of tumor‐specific antibodies. International Journal of Cancer. 152(9). 1964–1976. 8 indexed citations
7.
Kim, Nayoung, et al.. (2022). Prescreening of tumor samples for tumor-centric transcriptome analyses of lung adenocarcinoma. BMC Cancer. 22(1). 1186–1186. 1 indexed citations
8.
Kwon, Joonha, Junho Kang, Areum Jo, et al.. (2022). Integrative single-cell mapping of combinatorial target antigens for logical CAR switches. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
9.
Eum, Hye Hyeon, Minsuk Kwon, Daeun Ryu, et al.. (2020). Tumor-promoting macrophages prevail in malignant ascites of advanced gastric cancer. Experimental & Molecular Medicine. 52(12). 1976–1988. 68 indexed citations
10.
Lee, Hye Won, Woosung Chung, Hae‐Ock Lee, et al.. (2020). Single-cell RNA sequencing reveals the tumor microenvironment and facilitates strategic choices to circumvent treatment failure in a chemorefractory bladder cancer patient. Genome Medicine. 12(1). 47–47. 127 indexed citations
11.
Ryu, Daeun, Seok Jin Kim, Yourae Hong, et al.. (2019). Alterations in the Transcriptional Programs of Myeloma Cells and the Microenvironment during Extramedullary Progression Affect Proliferation and Immune Evasion. Clinical Cancer Research. 26(4). 935–944. 54 indexed citations
12.
Han, Kyung Yeon, Kyu‐Tae Kim, Je‐Gun Joung, et al.. (2017). SIDR: simultaneous isolation and parallel sequencing of genomic DNA and total RNA from single cells. Genome Research. 28(1). 75–87. 99 indexed citations
13.
Jo, Areum, et al.. (2015). Brca2 Deficiency Leads to T Cell Loss and Immune Dysfunction. Molecules and Cells. 38(3). 251–258. 11 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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