Yoojoo Lim

833 total citations
56 papers, 485 citations indexed

About

Yoojoo Lim is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Yoojoo Lim has authored 56 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 16 papers in Pulmonary and Respiratory Medicine and 14 papers in Cancer Research. Recurrent topics in Yoojoo Lim's work include Cancer Genomics and Diagnostics (12 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Yoojoo Lim is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Yoojoo Lim collaborates with scholars based in South Korea, United States and Puerto Rico. Yoojoo Lim's co-authors include Sae‐Won Han, Hwang‐Phill Kim, Tae‐You Kim, Sang‐Hyun Song, Jeong‐Ok Lee, Soo‐Mee Bang, Kyu Joo Park, Ye‐Lim Park, Seung‐Yong Jeong and Gyeong Hoon Kang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Yoojoo Lim

51 papers receiving 480 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoojoo Lim South Korea 14 201 162 127 117 83 56 485
Ratislav Bahleda France 12 218 1.1× 168 1.0× 114 0.9× 128 1.1× 39 0.5× 31 458
K. Nathan Sankar United States 14 269 1.3× 124 0.8× 80 0.6× 170 1.5× 36 0.4× 41 526
Tahir Latif United States 13 214 1.1× 211 1.3× 70 0.6× 108 0.9× 93 1.1× 38 588
Saifee Mullamitha United Kingdom 8 226 1.1× 136 0.8× 42 0.3× 75 0.6× 38 0.5× 32 467
Mark Cornfeld United States 11 497 2.5× 294 1.8× 112 0.9× 151 1.3× 122 1.5× 33 838
Florian Huemer Austria 13 323 1.6× 114 0.7× 76 0.6× 133 1.1× 79 1.0× 46 502
Ying A. Wang United States 9 196 1.0× 166 1.0× 46 0.4× 128 1.1× 52 0.6× 11 417
Birge Berns United Kingdom 6 308 1.5× 132 0.8× 83 0.7× 45 0.4× 38 0.5× 12 525
Kyrillus S. Shohdy Egypt 12 197 1.0× 88 0.5× 114 0.9× 213 1.8× 42 0.5× 39 440
Ewa Chmielowska Poland 12 251 1.2× 109 0.7× 59 0.5× 132 1.1× 119 1.4× 44 468

Countries citing papers authored by Yoojoo Lim

Since Specialization
Citations

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

Fields of papers citing papers by Yoojoo Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoojoo Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Yoojoo Lim. A scholar is included among the top collaborators of Yoojoo Lim 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 Yoojoo Lim. Yoojoo Lim 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.
Lim, Yoojoo, Chan‐Young Ock, Jeonghwan Youk, et al.. (2025). Predictive role of tumor-infiltrating lymphocytes and immune phenotype for pembrolizumab in relapsed or refractory thymic carcinoma. Journal of Thoracic Disease. 17(7). 4409–4419.
2.
Tabynov, Kaissar, et al.. (2025). Comparison of rArt v 1-based sublingual and subcutaneous immunotherapy in a murine model of asthma. npj Vaccines. 10(1). 66–66. 2 indexed citations
3.
Lim, Yoojoo, Megan S. Lim, J. Jack Lee, et al.. (2025). Evaluation of clinical and immunological responses to recombinant canine interleukin-15 therapy in dogs with cancer: A pilot study. Veterinary Immunology and Immunopathology. 283. 110923–110923.
4.
Youk, Jeonghwan, Yoojoo Lim, Hwang‐Phill Kim, et al.. (2024). Analytical and Clinical Validation of a Highly Sensitive NGS-Based ctDNA Assay with Real-World Concordance in Non–Small Cell Lung Cancer. Cancer Research and Treatment. 56(3). 765–773. 5 indexed citations
5.
6.
Lim, Yoojoo, Chan‐Young Ock, Gahee Park, et al.. (2023). Artificial intelligence‐powered spatial analysis of tumor‐infiltrating lymphocytes as a predictive biomarker for axitinib in adenoid cystic carcinoma. Head & Neck. 45(12). 3086–3095. 5 indexed citations
7.
Ryoo, Seung‐Bum, Yoojoo Lim, Su Yeon Kim, et al.. (2023). Personalised circulating tumour DNA assay with large-scale mutation coverage for sensitive minimal residual disease detection in colorectal cancer. British Journal of Cancer. 129(2). 374–381. 15 indexed citations
8.
Kim, Sheehyun, Yongjun Cha, Yoojoo Lim, et al.. (2023). Mutational evolution after chemotherapy‐progression in metastatic colorectal cancer revealed by circulating tumor DNA analysis. International Journal of Cancer. 153(3). 571–583. 6 indexed citations
9.
Bae, Jae Seok, Jae Young Lee, Dong Ho Lee, et al.. (2023). Predicting the chemotherapeutic response of colorectal cancer liver metastasis using shear-wave elastography. ULTRASONOGRAPHY. 42(3). 457–465. 1 indexed citations
10.
Kim, Kyukwang, Andrew Lee, Sang‐Hyun Song, et al.. (2023). Spatial and clonality-resolved 3D cancer genome alterations reveal enhancer-hijacking as a potential prognostic marker for colorectal cancer. Cell Reports. 42(7). 112778–112778. 9 indexed citations
11.
12.
Lim, Yoojoo, Hyeon Jeong Oh, Sanghoon Song, et al.. (2023). Artificial intelligence-powered spatial analysis of tumor-infiltrating lymphocytes for prediction of prognosis in resected colon cancer. npj Precision Oncology. 7(1). 124–124. 18 indexed citations
13.
Park, Ye‐Lim, Hwang‐Phill Kim, Chan‐Young Ock, et al.. (2022). EMT-mediated regulation of CXCL1/5 for resistance to anti-EGFR therapy in colorectal cancer. Oncogene. 41(14). 2026–2038. 17 indexed citations
14.
Kim, Sheehyun, Yoojoo Lim, Hwang‐Phill Kim, et al.. (2022). Dynamic changes in longitudinal circulating tumour DNA profile during metastatic colorectal cancer treatment. British Journal of Cancer. 127(5). 898–907. 25 indexed citations
15.
Lim, Yoojoo, Sheehyun Kim, Hwang-Phill Kim, et al.. (2021). Circulating tumor DNA sequencing in colorectal cancer patients treated with first-line chemotherapy with anti-EGFR. Scientific Reports. 11(1). 16333–16333. 18 indexed citations
16.
Kim, Hwang-Phill, Xianyu Wen, Yoojoo Lim, et al.. (2020). Phenotype-based single cell sequencing identifies diverse genetic subclones in CD133 positive cancer stem cells. Biochemical and Biophysical Research Communications. 558. 209–215. 5 indexed citations
17.
Lim, Yoojoo, Hogune Im, Jeong Mo Bae, et al.. (2019). Interpretation of EBV infection in pan-cancer genome considering viral life cycle: LiEB (Life cycle of Epstein-Barr virus). Scientific Reports. 9(1). 3465–3465. 10 indexed citations
18.
Lim, Yoojoo, Sae‐Won Han, Jeong Hee Yoon, et al.. (2015). Clinical Implication of Anti-Angiogenic Effect of Regorafenib in Metastatic Colorectal Cancer. PLoS ONE. 10(12). e0145004–e0145004. 17 indexed citations
19.
Lee, Eun Young, Jeong‐Ok Lee, Yoojoo Lim, et al.. (2013). Thrombocytopenia caused by low-dose heparin supplementation of parenteral nutrition solution. Blood Research. 48(2). 160–160. 2 indexed citations
20.
Keam, Bhumsuk, Seock‐Ah Im, Yoojoo Lim, et al.. (2013). Clinical Usefulness of AJCC Response Criteria for Neoadjuvant Chemotherapy in Breast Cancer. Annals of Surgical Oncology. 20(7). 2242–2249. 7 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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