K. F. Tony

527 total citations
10 papers, 378 citations indexed

About

K. F. Tony is a scholar working on Pathology and Forensic Medicine, Surgery and Cancer Research. According to data from OpenAlex, K. F. Tony has authored 10 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 5 papers in Surgery and 4 papers in Cancer Research. Recurrent topics in K. F. Tony's work include Breast Lesions and Carcinomas (5 papers), Breast Cancer Treatment Studies (4 papers) and Cancer and Skin Lesions (3 papers). K. F. Tony is often cited by papers focused on Breast Lesions and Carcinomas (5 papers), Breast Cancer Treatment Studies (4 papers) and Cancer and Skin Lesions (3 papers). K. F. Tony collaborates with scholars based in China, Hong Kong and Singapore. K. F. Tony's co-authors include Chi Sun Poon, Wing Cheong Chan, Heng Tat Leong, Eric C. H. Lai, Alice P. Y. Tang, Gary M. Tse, Wynnie W.M. Lam, Amy B. W. Chan, Chiu‐Wing Winnie Chu and Ann D. King and has published in prestigious journals such as Cancer, Clinical Cancer Research and The Laryngoscope.

In The Last Decade

K. F. Tony

10 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. F. Tony China	7	264	201	130	110	92	10	378
Luis Pina Spain	10	128 0.5×	48 0.2×	64 0.5×	78 0.7×	42 0.5×	43	339
Knut Schaekel Germany	6	56 0.2×	147 0.7×	90 0.7×	174 1.6×	68 0.7×	6	421
Eui Keun Ham South Korea	10	121 0.5×	28 0.1×	40 0.3×	114 1.0×	51 0.6×	17	321
Sharanamma M. Kollur Saudi Arabia	9	94 0.4×	40 0.2×	23 0.2×	173 1.6×	49 0.5×	10	305
J E Bridger United Kingdom	9	99 0.4×	20 0.1×	71 0.5×	124 1.1×	119 1.3×	18	331
P Alberto Colombia	9	27 0.1×	74 0.4×	62 0.5×	89 0.8×	16 0.2×	27	316
Rajshri N. Shah United States	7	135 0.5×	16 0.1×	64 0.5×	48 0.4×	40 0.4×	8	315
J. C. Dalrymple Australia	6	45 0.2×	39 0.2×	54 0.4×	126 1.1×	72 0.8×	10	298
Sara S. George Kuwait	10	60 0.2×	14 0.1×	45 0.3×	143 1.3×	111 1.2×	27	339
Harriet Deere United Kingdom	9	33 0.1×	35 0.2×	143 1.1×	222 2.0×	136 1.5×	15	456

Countries citing papers authored by K. F. Tony

Since Specialization

Citations

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

Fields of papers citing papers by K. F. Tony

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. F. Tony. 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 K. F. Tony. The network helps show where K. F. Tony may publish in the future.

Co-authorship network of co-authors of K. F. Tony

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Dai, Weixing, et al.. (2025). Autofluorescence Imaging and Virtual Histological Staining of Human Prostate Sections for Cancer Diagnosis. Advanced Intelligent Systems. 7(11). 1 indexed citations

2.

Chan, Siu‐Ki, Joaquim S. L. Vong, Philip C.W. Lui, et al.. (2010). Predictors of invasion in needle core biopsies of the breast with ductal carcinoma in situ. Modern Pathology. 23(5). 737–742. 19 indexed citations

3.

Tse, Gary M., Puay‐Hoon Tan, Maribel D. Lacambra, et al.. (2010). Papillary lesions of the breast—accuracy of core biopsy. Histopathology. 56(4). 481–488. 26 indexed citations

4.

Lai, Eric C. H., Wing Cheong Chan, K. F. Tony, et al.. (2005). The Role of Conservative Treatment in Idiopathic Granulomatous Mastitis. The Breast Journal. 11(6). 454–456. 213 indexed citations

5.

Tse, Gary M., et al.. (2004). Neuroendocrine differentiation in pure type mammary mucinous carcinoma is associated with favorable histologic and immunohistochemical parameters. Modern Pathology. 17(5). 568–572. 45 indexed citations

6.

Lo, Yuk Ming Dennis, Gary M. Tse, K.C. Allen Chan, et al.. (2004). Quantitative Analysis of Cell-Free Epstein-Barr Virus DNA in Plasma of Patients with Nonnasopharyngeal Head and Neck Carcinomas. Clinical Cancer Research. 10(5). 1726–1732. 22 indexed citations

7.

Chan, Amy B. W., et al.. (2004). Nasopharyngeal Granulomatous Inflammation and Tuberculosis Complicating Undifferentiated Carcinoma. Otolaryngology. 130(1). 125–130. 11 indexed citations

8.

Tse, Gary M., K. F. Tony, Amy B. W. Chan, et al.. (2003). Tuberculosis of the Nasopharynx: A Rare Entity Revisited. The Laryngoscope. 113(4). 737–740. 33 indexed citations

9.

Tse, Gary M. & K. F. Tony. (2000). Fine‐needle aspiration cytology of breast carcinoma with endocrine differentiation. Cancer. 90(5). 286–291. 2 indexed citations

10.

Tony, K. F. & Lee Cyn Ang. (1996). Spontaneous Rupture of Thoracic Aorta Through an Atheromatous Plaque: Case Report and Literature Review. American Journal of Forensic Medicine & Pathology. 17(1). 38–42. 6 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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