Joe Yeong

1.8k total citations
28 papers, 544 citations indexed

About

Joe Yeong is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Joe Yeong has authored 28 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Oncology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Joe Yeong's work include Single-cell and spatial transcriptomics (7 papers), Cancer Immunotherapy and Biomarkers (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Joe Yeong is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Cancer Immunotherapy and Biomarkers (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Joe Yeong collaborates with scholars based in Singapore, Australia and China. Joe Yeong's co-authors include Jeffrey Chun Tatt Lim, Mai Chan Lau, Wei Liu, Yi Yang, Jin Liu, Xingjie Shi, Aye Aye Thike, Jabed Iqbal, Denise Goh and Puay Hoon Tan and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Joe Yeong

26 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joe Yeong Singapore 12 227 210 125 108 102 28 544
Sameer Al Diffalha United States 13 243 1.1× 196 0.9× 100 0.8× 45 0.4× 91 0.9× 70 579
Mattia Riefolo Italy 13 226 1.0× 245 1.2× 48 0.4× 34 0.3× 78 0.8× 33 535
Khalil Choucair United States 12 337 1.5× 234 1.1× 55 0.4× 108 1.0× 178 1.7× 36 693
Jae‐Young Kim South Korea 12 320 1.4× 123 0.6× 70 0.6× 162 1.5× 119 1.2× 22 605
Juliane Friemel Switzerland 10 145 0.6× 155 0.7× 55 0.4× 46 0.4× 77 0.8× 17 465
Daniele Generali Italy 10 156 0.7× 232 1.1× 24 0.2× 121 1.1× 114 1.1× 26 475
Mariachiara Santorsola Italy 13 121 0.5× 218 1.0× 85 0.7× 39 0.4× 92 0.9× 45 428
Young-Hwa Chung South Korea 13 114 0.5× 117 0.6× 104 0.8× 61 0.6× 60 0.6× 27 814
Xiaoyuan Li China 13 172 0.8× 117 0.6× 78 0.6× 63 0.6× 93 0.9× 39 523
Wenqing Wang China 15 205 0.9× 213 1.0× 180 1.4× 39 0.4× 252 2.5× 76 632

Countries citing papers authored by Joe Yeong

Since Specialization
Citations

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

Fields of papers citing papers by Joe Yeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Yeong

This figure shows the co-authorship network connecting the top 25 collaborators of Joe Yeong. A scholar is included among the top collaborators of Joe Yeong 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 Joe Yeong. Joe Yeong 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.
Chong, Li Yen, Jeffrey Chun Tatt Lim, Yang Wu, et al.. (2024). A universal pipeline to combine spatial transcriptomics, proteomics, and diagnostic H&E assays on a single tissue section to study tissue microenvironment.. Journal of Clinical Oncology. 42(16_suppl). e14657–e14657. 2 indexed citations
2.
Väyrynen, Juha P., Willa Wen‐You Yim, Jeffrey Chun Tatt Lim, et al.. (2024). Training immunophenotyping deep learning models with the same-section ground truth cell label derivation method improves virtual staining accuracy. Frontiers in Immunology. 15. 1404640–1404640. 1 indexed citations
3.
Gowda, Harsha, et al.. (2023). 1376 Regulation of non-canonical proteins encoded by small open reading frames via nonsense-mediated decay pathway. SHILAP Revista de lepidopterología. A1531–A1531. 1 indexed citations
4.
Chu, Yuan, et al.. (2023). 1279 H&E-2.0: an extended application of ST-net to liver cancer and its generalizability. SHILAP Revista de lepidopterología. A1417–A1419.
5.
Loke, Kelvin Siu Hoong, et al.. (2023). A case of metastatic lymphoepithelial carcinoma of parotid gland identified on 68gallium DOTA-[Tyr3] octreotate PET CT. BJR|case reports. 10(1). uaad011–uaad011.
6.
Ang, Nicholas, et al.. (2023). The promise and challenge of spatial omics in dissecting tumour microenvironment and the role of AI. Frontiers in Oncology. 13. 1172314–1172314. 13 indexed citations
7.
Liu, Wei, Xu Liao, Yi Yang, et al.. (2022). Joint dimension reduction and clustering analysis of single-cell RNA-seq and spatial transcriptomics data. Nucleic Acids Research. 50(12). e72–e72. 41 indexed citations
8.
Yeong, Joe, Huey Yew Jeffrey Lum, Chong Boon Teo, et al.. (2022). Choice of PD-L1 immunohistochemistry assay influences clinical eligibility for gastric cancer immunotherapy. Gastric Cancer. 25(4). 741–750. 67 indexed citations
9.
Goh, Denise, et al.. (2022). Case report: Persistence of residual antigen and RNA of the SARS-CoV-2 virus in tissues of two patients with long COVID. Frontiers in Immunology. 13. 939989–939989. 39 indexed citations
10.
Ong, Clara Chong Hui, Bernett Lee, Huihua Li, et al.. (2022). Hypoxia-regulated carbonic anhydrase IX (CAIX) protein is an independent prognostic indicator in triple negative breast cancer. Breast Cancer Research. 24(1). 38–38. 36 indexed citations
11.
Yang, Yi, Xingjie Shi, Wei Liu, et al.. (2021). SC-MEB: spatial clustering with hidden Markov random field using empirical Bayes. Briefings in Bioinformatics. 23(1). 50 indexed citations
12.
Ghoshdastider, Umesh, Neha Rohatgi, Marjan Mojtabavi Naeini, et al.. (2021). Pan-Cancer Analysis of Ligand–Receptor Cross-talk in the Tumor Microenvironment. Cancer Research. 81(7). 1802–1812. 48 indexed citations
13.
Chong, Pek Yoon, Jabed Iqbal, Joe Yeong, et al.. (2021). Immune Response in Myocardial Injury: In Situ Hybridization and Immunohistochemistry Techniques for SARS-CoV-2 Detection in COVID-19 Autopsies. Frontiers in Molecular Biosciences. 8. 658932–658932. 3 indexed citations
14.
Lim, Jeffrey Chun Tatt, et al.. (2021). Delineating the breast cancer immune microenvironment in the era of multiplex immunohistochemistry/immunofluorescence. Histopathology. 79(2). 139–159. 10 indexed citations
15.
Lim, Chun Jye, Phuong H. D. Nguyen, Martin Wasser, et al.. (2021). Immunological Hallmarks for Clinical Response to BCG in Bladder Cancer. Frontiers in Immunology. 11. 615091–615091. 41 indexed citations
16.
Huang, Yuhua, Chris Zhiyi Zhang, Joe Yeong, et al.. (2020). Clinicopathologic features, tumor immune microenvironment and genomic landscape of Epstein-Barr virus-associated intrahepatic cholangiocarcinoma. Journal of Hepatology. 74(4). 838–849. 69 indexed citations
17.
Goh, Denise, Xinru Lim, Jeffrey Chun Tatt Lim, et al.. (2020). 825 Deep immune profiling of SARS-CoV-2 associated immune microenvironment in cancer tissues from recovered COVID-19 patients. SHILAP Revista de lepidopterología. A493.2–A494. 1 indexed citations
18.
Thike, Aye Aye, et al.. (2020). Counting Mitoses With Digital Pathology in Breast Phyllodes Tumors. Archives of Pathology & Laboratory Medicine. 144(11). 1397–1400. 6 indexed citations
19.
Golé, Laurent, Joe Yeong, Jeffrey Chun Tatt Lim, et al.. (2020). Quantitative stain-free imaging and digital profiling of collagen structure reveal diverse survival of triple negative breast cancer patients. Breast Cancer Research. 22(1). 42–42. 28 indexed citations
20.
Tan, An S., et al.. (2020). The Virological, Immunological, and Imaging Approaches for COVID-19 Diagnosis and Research. SLAS TECHNOLOGY. 25(6). 522–544. 20 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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