Kim Ow

773 total citations
26 papers, 626 citations indexed

About

Kim Ow is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Kim Ow has authored 26 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Kim Ow's work include Prostate Cancer Treatment and Research (6 papers), Molecular Biology Techniques and Applications (5 papers) and Cancer-related Molecular Pathways (5 papers). Kim Ow is often cited by papers focused on Prostate Cancer Treatment and Research (6 papers), Molecular Biology Techniques and Applications (5 papers) and Cancer-related Molecular Pathways (5 papers). Kim Ow collaborates with scholars based in Australia, Sweden and United States. Kim Ow's co-authors include Pamela J. Russell, Ewert Bengtsson, Per‐Uno Malmström, Petter Ranefall, P. Jackson, Kenneth Wester, Christer Sundström, C. Busch, Elizabeth A. Kingsley and Christer Busch and has published in prestigious journals such as Clinical Cancer Research, Biochemical and Biophysical Research Communications and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Kim Ow

25 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim Ow Australia 14 325 220 114 101 96 26 626
Hideo Maki Japan 10 476 1.5× 182 0.8× 57 0.5× 29 0.3× 74 0.8× 15 789
David Browell United Kingdom 13 286 0.9× 277 1.3× 84 0.7× 54 0.5× 47 0.5× 26 608
Claus Fittschen United States 9 271 0.8× 147 0.7× 87 0.8× 52 0.5× 43 0.4× 18 586
C. Goldman Canada 5 450 1.4× 279 1.3× 92 0.8× 52 0.5× 146 1.5× 8 686
Kenneth Smith United Kingdom 11 459 1.4× 301 1.4× 101 0.9× 52 0.5× 47 0.5× 12 713
Nick G. Costouros United States 14 334 1.0× 97 0.4× 92 0.8× 133 1.3× 78 0.8× 20 654
Guoyu Yu United States 16 408 1.3× 315 1.4× 195 1.7× 61 0.6× 47 0.5× 39 779
Keisuke Aoyama Japan 16 402 1.2× 152 0.7× 65 0.6× 23 0.2× 86 0.9× 21 855
P. Rudolph Germany 15 333 1.0× 302 1.4× 125 1.1× 31 0.3× 33 0.3× 28 697
Frances A. Spring United Kingdom 20 313 1.0× 73 0.3× 109 1.0× 61 0.6× 112 1.2× 38 1.2k

Countries citing papers authored by Kim Ow

Since Specialization
Citations

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

Fields of papers citing papers by Kim Ow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Ow

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Ow. A scholar is included among the top collaborators of Kim Ow 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 Kim Ow. Kim Ow 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.
2.
Smee, Robert, et al.. (2008). Correlation between p33ING1b cytoplasmic transfer and lymph node metastasis in oral squamous cell carcinoma. Iranian journal of medical sciences. 33(1). 27–32. 1 indexed citations
3.
4.
Vandyke, Kate, Melanie Y. White, Terry Nguyen‐Khuong, et al.. (2007). Plant-Derived MINA-05 Inhibits Human Prostate Cancer Proliferation In Vitro and Lymph Node Spread In Vivo. Neoplasia. 9(4). 322–331. 6 indexed citations
5.
Perryman, Lara, Julie M. Blair, Elizabeth A. Kingsley, et al.. (2006). Over-expression of p53 mutants in LNCaP cells alters tumor growth and angiogenesis in vivo. Biochemical and Biophysical Research Communications. 345(3). 1207–1214. 12 indexed citations
6.
Khatri, Aparajita, et al.. (2006). Combination of cytosine deaminase with uracil phosphoribosyl transferase leads to local and distant bystander effects against RM1 prostate cancer in mice. The Journal of Gene Medicine. 8(9). 1086–1096. 36 indexed citations
7.
Russell, Pamela J., Kim Ow, J. Juárez, et al.. (2004). Immunohistochemical characterisation of the monoclonal antibody BLCA-38 for the detection of prostate cancer. Cancer Immunology Immunotherapy. 53(11). 995–1004. 22 indexed citations
8.
Smee, Robert, Kim Ow, Pamela J. Russell, et al.. (2004). Down-regulation of KAI1/CD82 protein expression in oral cancer correlates with reduced disease free survival and overall patient survival. Cancer Letters. 213(1). 91–98. 32 indexed citations
9.
Russell, Pamela J., Dean R. Hewish, Katy Sterling-Levis, et al.. (2004). Cytotoxic properties of immunoconjugates containing melittin-like peptide 101 against prostate cancer: in vitro and in vivo studies. Cancer Immunology Immunotherapy. 53(5). 411–421. 74 indexed citations
10.
Sterling-Levis, Katy, Kim Ow, Larissa Doughty, et al.. (2004). Biodistributions of intact monoclonal antibodies and fragments of BLCA-38, a new prostate cancer directed antibody. Cancer Immunology Immunotherapy. 53(6). 533–542. 18 indexed citations
11.
Li, Yong, Syed Rizvi, Julie M. Blair, et al.. (2004). Antigenic expression of human metastatic prostate cancer cell lines for in vitro multiple-targeted α-therapy with 213Bi-conjugates. International Journal of Radiation Oncology*Biology*Physics. 60(3). 896–908. 22 indexed citations
12.
Downing, Sean R., et al.. (2003). Elevated levels of prostate‐specific antigen (PSA) in prostate cancer cells expressing mutant p53 is associated with tumor metastasis. Molecular Carcinogenesis. 38(3). 130–140. 12 indexed citations
13.
Jackson, P., et al.. (2003). Downregulation of KAI1 mRNA in localised prostate cancer and its bony metastases does not correlate with p53 overexpression. Prostate Cancer and Prostatic Diseases. 6(2). 174–181. 22 indexed citations
14.
15.
Ow, Kim, Warick Delprado, Richard Fisher, et al.. (2000). Relationship between expression of the KAI1 metastasis suppressor and other markers of advanced bladder cancer. The Journal of Pathology. 191(1). 39–47. 29 indexed citations
16.
Ow, Kim, et al.. (2000). Beta-human chorionic gonadotropin in semen: a marker for early detection of prostate cancer?. PubMed. 4(4). 421–7. 12 indexed citations
17.
Williams, Andrew, et al.. (1997). Sources of variability in the determination of micronuclei in irradiated peripheral blood lymphocytes. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 389(2-3). 123–128. 8 indexed citations
18.
Yang, Jialin, Kim Ow, Pamela J. Russell, J. M. Ham, & Philip Crowe. (1996). Higher expression of oncoproteins c-myc, c-erbB-2/neu, PCNA, and p53 in metastasizing colorectal cancer than in nonmetastasizing tumors. Annals of Surgical Oncology. 3(6). 574–579. 42 indexed citations
19.
Crowe, Philip, et al.. (1996). DNA flow‐cytometric analysis in colorectal cancer: A comparison of metastasizing and non‐metastasizing tumours. Journal of Gastroenterology and Hepatology. 11(4). 319–324. 3 indexed citations
20.
Manning, David L., et al.. (1990). Cloning of estrogen-responsive messenger RNAs in the T-47D human breast cancer cell line.. PubMed. 50(13). 4098–104. 13 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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