T Urashima

1.2k total citations · 1 hit paper
6 papers, 990 citations indexed

About

T Urashima is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, T Urashima has authored 6 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Hepatology and 2 papers in Molecular Biology. Recurrent topics in T Urashima's work include Hepatitis B Virus Studies (5 papers), Hepatitis C virus research (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). T Urashima is often cited by papers focused on Hepatitis B Virus Studies (5 papers), Hepatitis C virus research (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). T Urashima collaborates with scholars based in Japan. T Urashima's co-authors include Kenichi Saigo, Tomoharu Yasuda, Takeshi Okanoue, Hidenori Toyoda, Kunitada Shimotohno, Yoshiki Murakami, Susumu Kobayashi, Kaichi Isono, K Isono and Takehide Asano and has published in prestigious journals such as Oncogene, Journal of Hepatology and Journal of Surgical Research.

In The Last Decade

T Urashima

6 papers receiving 973 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.

Comprehensive analysis of microRNA expression patterns in hepatocellular carcinoma and non-tumorous tissues

2005 946 citations Yoshiki Murakami, Tomoharu Yasuda et al. Oncogene profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T Urashima Japan	4	806	800	128	113	33	6	990
Shupeng Liu China	8	425 0.5×	448 0.6×	71 0.6×	48 0.4×	28 0.8×	10	661
Shandong Pan China	8	282 0.3×	288 0.4×	152 1.2×	105 0.9×	28 0.8×	8	485
Yukiko Saitou Japan	12	143 0.2×	306 0.4×	177 1.4×	151 1.3×	39 1.2×	23	507
Saravana Kumar Kailasam Mani United States	9	180 0.2×	314 0.4×	126 1.0×	80 0.7×	17 0.5×	11	429
Xueyan Dong China	10	285 0.4×	326 0.4×	46 0.4×	61 0.5×	12 0.4×	20	476
Tiziana La Bella France	4	177 0.2×	233 0.3×	125 1.0×	173 1.5×	31 0.9×	6	458
Ashley Tice United States	10	145 0.2×	206 0.3×	225 1.8×	210 1.9×	18 0.5×	11	485
Xiao‐Ying Huang China	10	193 0.2×	221 0.3×	30 0.2×	41 0.4×	22 0.7×	24	351
Verena Bihrer Germany	7	374 0.5×	355 0.4×	111 0.9×	98 0.9×	22 0.7×	8	475
Junhui Ge China	7	601 0.7×	940 1.2×	62 0.5×	5 0.0×	18 0.5×	9	1.0k

Countries citing papers authored by T Urashima

Since Specialization

Citations

This map shows the geographic impact of T Urashima'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 T Urashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Urashima more than expected).

Fields of papers citing papers by T Urashima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Urashima

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

6 of 6 papers shown

1.

Murakami, Yoshiki, Tomoharu Yasuda, Kenichi Saigo, et al.. (2005). Comprehensive analysis of microRNA expression patterns in hepatocellular carcinoma and non-tumorous tissues. Oncogene. 25(17). 2537–2545. 946 indexed citations breakdown →

2.

Okanoue, Takeshi, T Urashima, Takashi Kenmochi, et al.. (2001). Gene trap in hepatocellular carcinoma (HCC) by hepatitis B virus (HBV) DNA insertional mutagenesis analysis. Journal of Hepatology. 34. 100–100. 1 indexed citations

3.

Saigo, Kenichi, Mounia Chami, Karine Poussin, et al.. (1998). Large scale screening of HBV-DNA integration sites into human liver tumor DNA: evidence for serca 1 HBV mediated cisactivation. Journal of Hepatology. 28. 87–87. 1 indexed citations

4.

Kobayashi, Susumu, et al.. (1997). Detection of Hepatitis B Virus x Transcripts in Human Hepatocellular Carcinoma Tissues. Journal of Surgical Research. 73(2). 97–100. 17 indexed citations

5.

Koike, Katsuro, Y Nakamura, Midori Kobayashi, et al.. (1996). Hepatitis B virus DNA integration frequently observed in the hepatocellular carcinoma DNA of hepatitis C virus-infected patients. International Journal of Oncology. 8(4). 781–4. 20 indexed citations

6.

Kobayashi, Susumu, et al.. (1994). SIGNIFICANCE OF HEPATITIS-B AND HEPATITIS-C VIRAL SEQUENCES FREQUENTLY DETECTED IN HEPATOCELLULAR-CARCINOMA TISSUES. Oncology Reports. 1(6). 1049–53. 5 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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