K. Saeki

4.7k total citations
10 papers, 137 citations indexed

About

K. Saeki is a scholar working on Molecular Biology, Animal Science and Zoology and Genetics. According to data from OpenAlex, K. Saeki has authored 10 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Animal Science and Zoology and 3 papers in Genetics. Recurrent topics in K. Saeki's work include Animal Virus Infections Studies (3 papers), Virus-based gene therapy research (2 papers) and Veterinary Oncology Research (2 papers). K. Saeki is often cited by papers focused on Animal Virus Infections Studies (3 papers), Virus-based gene therapy research (2 papers) and Veterinary Oncology Research (2 papers). K. Saeki collaborates with scholars based in Japan, United States and Spain. K. Saeki's co-authors include Fumihiro Taguchi, Shutoku Matsuyama, Takashi Onodera, Atsutaka Kubosaki, Haiyin Li, C.‐P. Chen, Shinn‐Zong Lin, Woei‐Cherng Shyu, Abner Louis Notkins and Masao Watanabe and has published in prestigious journals such as Journal of Virology, Diabetologia and Advances in experimental medicine and biology.

In The Last Decade

K. Saeki

10 papers receiving 130 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. Saeki Japan	5	66	62	51	27	14	10	137
Charleen Hunt United States	4	160 2.4×	66 1.1×	46 0.9×	13 0.5×	31 2.2×	6	227
Rory J. Tinker United States	9	57 0.9×	27 0.4×	65 1.3×	69 2.6×	48 3.4×	32	214
Fanny Chagnon Canada	5	88 1.3×	27 0.4×	31 0.6×	12 0.4×	19 1.4×	6	162
Jinyan Zhang Singapore	5	52 0.8×	9 0.1×	69 1.4×	6 0.2×	18 1.3×	18	153
Krishnan Harinivas Harshan India	8	100 1.5×	8 0.1×	76 1.5×	10 0.4×	33 2.4×	20	201
Elizabeth A. Maier United States	7	35 0.5×	6 0.1×	70 1.4×	42 1.6×	8 0.6×	10	197
Jeeho D. Kim United States	4	174 2.6×	104 1.7×	31 0.6×	26 1.0×	19 1.4×	10	244
Min Thura Singapore	6	44 0.7×	8 0.1×	98 1.9×	7 0.3×	66 4.7×	14	248
Shanyu Huang China	7	96 1.5×	9 0.1×	114 2.2×	24 0.9×	35 2.5×	8	275
Zening Yang China	9	64 1.0×	10 0.2×	81 1.6×	5 0.2×	33 2.4×	13	194

Countries citing papers authored by K. Saeki

Since Specialization

Citations

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

Fields of papers citing papers by K. Saeki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Saeki

This figure shows the co-authorship network connecting the top 25 collaborators of K. Saeki. A scholar is included among the top collaborators of K. Saeki 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. Saeki. K. Saeki 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.

Maniscalco, Lorella, Silvia Guil‐Luna, Selina Iussich, et al.. (2018). Expression of the Short Form of RON/STK in Feline Mammary Carcinoma. Veterinary Pathology. 56(2). 220–229. 4 indexed citations

2.

Saeki, K., Masao Watanabe, Masaki Michishita, et al.. (2015). Phenotypic screening of a library of compounds against metastatic and non-metastatic clones of a canine mammary gland tumour cell line. The Veterinary Journal. 205(2). 288–296. 4 indexed citations

3.

Saeki, K., Masao Watanabe, Masato Tsuboi, et al.. (2015). Anti-tumour effect of metformin in canine mammary gland tumour cells. The Veterinary Journal. 205(2). 297–304. 13 indexed citations

4.

Kishigami, Satoshi, S. Taniguchi, Yasuhiro Abe, et al.. (2007). 38 EFFECTS OF TRICHOSTATIN A ON DNA METHYLATION IN CLONED BOVINE EMBRYOS. Reproduction Fertility and Development. 20(1). 99–99. 1 indexed citations

5.

Shyu, Woei‐Cherng, C.‐P. Chen, K. Saeki, et al.. (2005). Hypoglycemia enhances the expression of prion protein and heat-shock protein 70 in a mouse neuroblastoma cell line. Journal of Neuroscience Research. 80(6). 887–894. 30 indexed citations

6.

Saeki, K., et al.. (2000). Genomic structure of mouse IA-2 : comparison with its human homologue. Diabetologia. 43(11). 1429–1434. 6 indexed citations

7.

Taguchi, Fumihiro, Shutoku Matsuyama, & K. Saeki. (1999). Difference in Bgp-independent fusion activity among mouse hepatitis viruses. Archives of Virology. 144(10). 2041–2049. 15 indexed citations

8.

Yamada, Yasuko, et al.. (1998). Differential Receptor-Functionality of the Two Distinct Receptor Proteins for Mouse Hepatitis Virus. Advances in experimental medicine and biology. 440. 77–80. 2 indexed citations

9.

Saeki, K., et al.. (1997). Identification of spike protein residues of murine coronavirus responsible for receptor-binding activity by use of soluble receptor-resistant mutants. Journal of Virology. 71(12). 9024–9031. 60 indexed citations

10.

Shima, Hideaki, et al.. (1995). Sandwich Enzyme Immunoassay for Endothelin with Monoclonal Antibodies and Its Application. Biochemical and Molecular Medicine. 55(1). 61–65. 2 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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