Jeongmin Woo

856 total citations
21 papers, 490 citations indexed

About

Jeongmin Woo is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jeongmin Woo has authored 21 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Oncology. Recurrent topics in Jeongmin Woo's work include Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and HIV Research and Treatment (3 papers). Jeongmin Woo is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and HIV Research and Treatment (3 papers). Jeongmin Woo collaborates with scholars based in United Kingdom, United States and South Korea. Jeongmin Woo's co-authors include Christopher H. Woelk, Gareth J. Thomas, Christian H. Ottensmeier, Oliver Wood, Simon C. Lovell, David L. Robertson, Jason C. Fleming, Emma V. King, Matthew J. Ward and Jin-Ho Kim and has published in prestigious journals such as Nature Communications, Bioinformatics and Cancer Research.

In The Last Decade

Jeongmin Woo

21 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeongmin Woo United Kingdom 12 229 174 171 85 55 21 490
Qiong-Lan Tang China 11 119 0.5× 186 1.1× 62 0.4× 82 1.0× 48 0.9× 30 431
No-Hee Park United States 11 154 0.7× 307 1.8× 39 0.2× 202 2.4× 39 0.7× 21 519
Kathleen R. Makielski United States 11 256 1.1× 157 0.9× 66 0.4× 62 0.7× 14 0.3× 13 488
Jayamanna Wickramasinghe United States 11 212 0.9× 391 2.2× 148 0.9× 76 0.9× 8 0.1× 14 648
Christine Carreira France 12 191 0.8× 231 1.3× 106 0.6× 122 1.4× 49 0.9× 15 632
Tomonori Hidaka Japan 15 97 0.4× 210 1.2× 174 1.0× 35 0.4× 4 0.1× 43 565
Evelyn Hartmann Germany 9 202 0.9× 167 1.0× 669 3.9× 51 0.6× 10 0.2× 10 778
Ben X. Wang Canada 9 190 0.8× 128 0.7× 246 1.4× 47 0.6× 6 0.1× 33 511
Emilia Fernández‐López Spain 13 101 0.4× 87 0.5× 90 0.5× 31 0.4× 4 0.1× 44 444
Л Э Завалишина Russia 11 146 0.6× 156 0.9× 38 0.2× 90 1.1× 10 0.2× 70 417

Countries citing papers authored by Jeongmin Woo

Since Specialization
Citations

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

Fields of papers citing papers by Jeongmin Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeongmin Woo

This figure shows the co-authorship network connecting the top 25 collaborators of Jeongmin Woo. A scholar is included among the top collaborators of Jeongmin Woo 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 Jeongmin Woo. Jeongmin Woo 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.
Weeratunga, Praveen, Martin J. Sergeant, Joshua A. Bull, et al.. (2025). Temporo-spatial cellular atlas of the regenerating alveolar niche in idiopathic pulmonary fibrosis. Nature Communications. 16(1). 7150–7150. 1 indexed citations
2.
Chen, Yi‐Ling, Rosana Ottakandathil Babu, Jeongmin Woo, et al.. (2023). Group A Streptococcus induces CD1a-autoreactive T cells and promotes psoriatic inflammation. Science Immunology. 8(84). eadd9232–eadd9232. 8 indexed citations
3.
Woo, Jeongmin, Matthew D. Blunt, Francesco Forconi, et al.. (2023). Network analysis reveals a major role for 14q32 cluster miRNAs in determining transcriptional differences between IGHV-mutated and unmutated CLL. Leukemia. 37(7). 1454–1463. 2 indexed citations
4.
Woo, Jeongmin, et al.. (2023). In vitro safety and efficacy of probiotics mixture on carbohydrate digestion inhibition. Korean Journal of Food Preservation. 30(3). 538–545. 1 indexed citations
5.
Lee, Chloe H., Ruichong Ma, Isaac Woodhouse, et al.. (2022). Evaluating performance of existing computational models in predicting CD8+ T cell pathogenic epitopes and cancer neoantigens. Briefings in Bioinformatics. 23(3). 24 indexed citations
6.
Lee, Chloe H., Mariana Pereira Pinho, Rosana Ottakandathil Babu, et al.. (2022). HLA‐dependent variation in SARS‐CoV‐2 CD8  + T cell cross‐reactivity with human coronaviruses. Immunology. 166(1). 78–103. 13 indexed citations
7.
Hardman, Clare S., Jeongmin Woo, Randeep Singh, et al.. (2022). Dengue virus co-opts innate type 2 pathways to escape early control of viral replication. Communications Biology. 5(1). 735–735. 17 indexed citations
8.
9.
Woo, Jeongmin, Cory White, Bastiaan Moesker, et al.. (2020). Micro RNA Targets in HIV Latency: Insights into Novel Layers of Latency Control. AIDS Research and Human Retroviruses. 37(2). 109–121. 13 indexed citations
10.
Loxham, Matthew, Jeongmin Woo, Akul Singhania, et al.. (2020). Upregulation of epithelial metallothioneins by metal-rich ultrafine particulate matter from an underground railway. Metallomics. 12(7). 1070–1082. 9 indexed citations
11.
Fleming, Jason C., Jeongmin Woo, Karwan Moutasim, et al.. (2020). CTEN Induces Tumour Cell Invasion and Survival and Is Prognostic in Radiotherapy-Treated Head and Neck Cancer. Cancers. 12(10). 2963–2963. 8 indexed citations
12.
Fleming, Jason C., Jeongmin Woo, Karwan Moutasim, et al.. (2019). HPV, tumour metabolism and novel target identification in head and neck squamous cell carcinoma. British Journal of Cancer. 120(3). 356–367. 40 indexed citations
13.
Cho, Junhun, Seok Jin Kim, Woong‐Yang Park, et al.. (2019). Immune subtyping of extranodal NK/T-cell lymphoma: a new biomarker and an immune shift during disease progression. Modern Pathology. 33(4). 603–615. 42 indexed citations
14.
Lee, Mijeong, Jeongmin Woo, Jin-Ho Kim, et al.. (2019). Preferential Infiltration of Unique Vγ9Jγ2-Vδ2 T Cells Into Glioblastoma Multiforme. Frontiers in Immunology. 10. 555–555. 31 indexed citations
15.
Wood, Oliver, James Clarke, Jeongmin Woo, et al.. (2017). Head and Neck Squamous Cell Carcinomas Are Characterized by a Stable Immune Signature Within the Primary Tumor Over Time and Space. Clinical Cancer Research. 23(24). 7641–7649. 16 indexed citations
16.
Ottensmeier, Christian H., Jana Stasakova, Veronika Jenei, et al.. (2016). Upregulated Glucose Metabolism Correlates Inversely with CD8+ T-cell Infiltration and Survival in Squamous Cell Carcinoma. Cancer Research. 76(14). 4136–4148. 71 indexed citations
17.
Wood, Oliver, Jeongmin Woo, Grégory Seumois, et al.. (2016). Gene expression analysis of TIL rich HPV-driven head and neck tumors reveals a distinct B-cell signature when compared to HPV independent tumors. Oncotarget. 7(35). 56781–56797. 90 indexed citations
18.
Woo, Jeongmin, David L. Robertson, & Simon C. Lovell. (2014). Constraints from protein structure and intra-molecular coevolution influence the fitness of HIV-1 recombinants. Virology. 454-455. 34–39. 11 indexed citations
19.
Williams, D., Sangmee Bae, Jeongmin Woo, et al.. (2011). Bisphosphonates Induce Senescence in Normal Human Oral Keratinocytes. Journal of Dental Research. 90(6). 810–816. 60 indexed citations
20.
Woo, Jeongmin, David L. Robertson, & Simon C. Lovell. (2010). Constraints on HIV-1 Diversity from Protein Structure. Journal of Virology. 84(24). 12995–13003. 21 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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