K. Koike

1.3k total citations · 1 hit paper
7 papers, 1.0k citations indexed

About

K. Koike is a scholar working on Epidemiology, Genetics and Hepatology. According to data from OpenAlex, K. Koike has authored 7 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Genetics and 2 papers in Hepatology. Recurrent topics in K. Koike's work include Hepatitis B Virus Studies (3 papers), Virus-based gene therapy research (2 papers) and Hepatitis C virus research (2 papers). K. Koike is often cited by papers focused on Hepatitis B Virus Studies (3 papers), Virus-based gene therapy research (2 papers) and Hepatitis C virus research (2 papers). K. Koike collaborates with scholars based in Japan and United States. K. Koike's co-authors include Gregory D. Jay, Chang‐Min Kim, Makoto Matsukura, Kiyoshi Kurokawa, Yoshizumi Shintani, Hiroshi Yotsuyanagi, Hajime Fujie, Takeya Tsutsumi, Tadatoshi Takayama and M Tsukamura and has published in prestigious journals such as Nature, Cancer and Scientific Reports.

In The Last Decade

K. Koike

7 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

HBx gene of hepatitis B virus induces liver cancer in transgenic mice

1991 948 citations Chang‐Min Kim, K. Koike et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. Koike Japan	4	745	442	373	216	129	7	1.0k
Kazunori Kajino Japan	21	512 0.7×	453 1.0×	447 1.2×	183 0.8×	133 1.0×	70	1.2k
Yumiko Shirakata Japan	9	666 0.9×	311 0.7×	388 1.0×	147 0.7×	138 1.1×	10	978
C E Rogler United States	18	694 0.9×	419 0.9×	553 1.5×	188 0.9×	137 1.1×	21	1.3k
Jingyu Diao Canada	13	403 0.5×	353 0.8×	373 1.0×	119 0.6×	115 0.9×	17	950
Vicky M.-H. Sung United States	12	784 1.1×	1.1k 2.4×	300 0.8×	204 0.9×	60 0.5×	14	1.6k
Urania Georgopoulou Greece	18	435 0.6×	441 1.0×	397 1.1×	74 0.3×	46 0.4×	55	1.0k
E. Bey South Africa	9	348 0.5×	163 0.4×	269 0.7×	164 0.8×	65 0.5×	12	732
Bill Sun United States	11	341 0.5×	234 0.5×	344 0.9×	102 0.5×	167 1.3×	16	778
Matthew Paulson United States	14	399 0.5×	421 1.0×	319 0.9×	294 1.4×	88 0.7×	18	1.0k
Olivier Terradillos France	10	357 0.5×	200 0.5×	268 0.7×	104 0.5×	65 0.5×	11	552

Countries citing papers authored by K. Koike

Since Specialization

Citations

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

Fields of papers citing papers by K. Koike

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

7 of 7 papers shown

1.

Inoue, Yukiko, et al.. (2024). Decreased antioxidant-related superoxide dismutase 1 expression in peripheral immune cells indicates early ethanol exposure. Scientific Reports. 14(1). 25091–25091. 1 indexed citations

2.

Perlemuter, Gabriel, Abdelmajid Sabile, P Lettéron, et al.. (2000). Hepatitis C virus (HCV) core protein inhibits VLDL liver secretion: An in vivo model of virus-lipid interaction. Journal of Hepatology. 32. 33–33. 2 indexed citations

3.

Shintani, Yoshizumi, Hiroshi Yotsuyanagi, Hajime Fujie, et al.. (2000). The significance of hepatitis B virus DNA detected in hepatocellular carcinoma of patients with hepatitis C. Cancer. 88(11). 2478–2486. 48 indexed citations

4.

Koike, K.. (1997). Physical Mapping of Rice Chromosomes 4 and 7 Using YAC Clones. DNA Research. 4(1). 27–33. 14 indexed citations

5.

Matsukura, Makoto, et al.. (1996). In VivoInhibition of Hepatitis B Virus Gene Expression by Antisense Phosphorothioate Oligonucleotides. Biochemical and Biophysical Research Communications. 218(1). 217–223. 25 indexed citations

6.

Kim, Chang‐Min, et al.. (1991). HBx gene of hepatitis B virus induces liver cancer in transgenic mice. Nature. 351(6324). 317–320. 948 indexed citations breakdown →

7.

Tsukamura, M, et al.. (1972). [Comparison of blood concentration of rifampicin between administration before and after breakfast].. PubMed. 47(4). 69–73. 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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