Jean Kao

744 total citations
12 papers, 559 citations indexed

About

Jean Kao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Jean Kao has authored 12 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Surgery. Recurrent topics in Jean Kao's work include Cancer Genomics and Diagnostics (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Renal cell carcinoma treatment (2 papers). Jean Kao is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Renal cell carcinoma treatment (2 papers). Jean Kao collaborates with scholars based in United States, Taiwan and Spain. Jean Kao's co-authors include Yao‐Tseng Chen, Elizabeth Hyjek, Theresa Scognamiglio, Jiangling Tu, Stephen Rohan, Naoki Kitabayashi, Susan Mathew, Xi Zhou, L. Munson and Donald H. Schlafer and has published in prestigious journals such as Clinical Cancer Research, The Journal of Urology and Reproduction.

In The Last Decade

Jean Kao

12 papers receiving 544 citations

Peers

Countries citing papers authored by Jean Kao

Since Specialization

Citations

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

Fields of papers citing papers by Jean Kao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Kao

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	LoRA-Enhanced RT-DETR: First Low-Rank Adaptation based DETR for real-time full body anatomical structures identification in musculoskeletal ultrasound 2025 ·Computerized Medical Imaging and Graphics ·Jean Kao, (unknown), (unknown), Chun‐Ping Chen, Wen‐Shiang Chen	1
2	Large Language Models in radiology: A technical and clinical perspective 2025 ·Jean Kao, Hung‐Wen Kao	4
3	Survivin as a useful adjunct marker for the grading of papillary urothelial carcinoma. 2008 ·Archives of Pathology & Laboratory Medicine ·Ying‐Bei Chen, Jiangling Tu, Jean Kao, Xi Kathy Zhou, Yao‐Tseng Chen	18
4	Survivin as a Useful Adjunct Marker for the Grading of Papillary Urothelial Carcinoma 2008 ·Archives of Pathology & Laboratory Medicine ·Ying‐Bei Chen, Jiangling Tu, Jean Kao, Xi Kathy Zhou, Yao‐Tseng Chen	17
5	Gene fusions between TMPRSS2 and ETS family genes in prostate cancer: frequency and transcript variant analysis by RT-PCR and FISH on paraffin-embedded tissues 2007 ·Modern Pathology ·Jiangling Tu, Stephen Rohan, Jean Kao, Naoki Kitabayashi, Susan Mathew, Yao‐Tseng Chen	130
6	p53 in esophageal adenocarcinoma: A critical reassessment of mutation frequency and identification of 72Arg as the dominant allele 2007 ·International Journal of Oncology ·Sun Chung, Jean Kao, Elizabeth Hyjek, Yao-Tseng Chen	19
7	Diagnostic Usefulness of HBME1, Galectin-3, CK19, and CITED1 and Evaluation of Their Expression in Encapsulated Lesions With Questionable Features of Papillary Thyroid Carcinoma 2006 ·American Journal of Clinical Pathology ·Theresa Scognamiglio, Elizabeth Hyjek, Jean Kao, Yao‐Tseng Chen	96
8	Diagnostic Usefulness of HBME1, Galectin-3, CK19, and CITED1 and Evaluation of Their Expression in Encapsulated Lesions With Questionable Features of Papillary Thyroid Carcinoma 2006 ·American Journal of Clinical Pathology ·Theresa Scognamiglio, Elizabeth Hyjek, Jean Kao, Yao‐Tseng Chen	91
9	Gene Expression Profiling Separates Chromophobe Renal Cell Carcinoma from Oncocytoma and Identifies Vesicular Transport and Cell Junction Proteins as Differentially Expressed Genes 2006 ·Clinical Cancer Research ·Stephen Rohan, Jiangling Tu, Jean Kao, Piali Mukherjee, Fabien Campagne, Xi Zhou, Elizabeth Hyjek, Miguel A. Alonso, Yao‐Tseng Chen	59
10	Diagnosis of Renal Tumors on Needle Biopsy Specimens by Histological and Molecular Analysis 2006 ·The Journal of Urology ·Daniel A. Barocas, Stephen Rohan, Jean Kao, Raya Gurevich, Joseph J. Del Pizzo, E. Darracott Vaughan, (unknown), (unknown), Douglas S. Scherr	56
11	Messenger RNA Expression Ratios among Four Genes Predict Subtypes of Renal Cell Carcinoma and Distinguish Oncocytoma from Carcinoma 2005 ·Clinical Cancer Research ·Yao‐Tseng Chen, Jiangling Tu, Jean Kao, Xi Zhou, Madhu Mazumdar	39
12	Characterization of glycoconjugates in the bovine endometrium and chorion by lectin histochemistry 1989 ·Reproduction ·L. Munson, Jean Kao, Donald H. Schlafer	29

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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