K Arai
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Transplantation top 5%
Papers in
-
- Gastric Cancer Management and Outcomes 11
- Metastasis and carcinoma case studies 5
- Surgery 26
- Co-authors
- Ryushi Nozawa (11 shared papers)Toshihiro Yamada (5 shared papers)Takumi Teratani (6 shared papers)Yoshifumi Tada (1 shared paper)Naoyuki Taniguchi (1 shared paper)K Oikawa (1 shared paper)Susumu Iizuka (1 shared paper)O Matsui (1 shared paper)
In The Last Decade
K Arai
111 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 104
- Hepatology 380
- Transplantation 57
- Cancer Research 225
- Clinical Biochemistry 84
- Immunology 218
Countries citing papers authored by K Arai
This map shows the geographic impact of K Arai'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 Arai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Arai more than expected).
Fields of papers citing papers by K Arai
This network shows the impact of papers produced by K Arai. 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 Arai. The network helps show where K Arai may publish in the future.
Co-authors
The 25 scholars most cited alongside K Arai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 349 | |
| 2 | 1987 | 182 | |
| 3 | 2008 | 110 | |
| 4 | 2006 | 71 | |
| 5 | 2004 | 64 | |
| 6 | 2001 | 62 | |
| 7 | 1997 | 60 | |
| 8 | 2010 | 51 | |
| 9 | 2000 | 50 | |
| 10 | 2007 | 44 | |
| 11 | 2002 | 41 | |
| 12 | 1998 | 36 | |
| 13 | The usefulness of radiation therapy for hepatocellular carcinoma. | 1998 | 35 |
| 14 | 2004 | 35 | |
| 15 | 1998 | 34 | |
| 16 | S100A10 expression in thyroid neoplasms originating from the follicular epithelium: contribution to the aggressive characteristic of anaplastic carcinoma. | 2007 | 29 |
| 17 | 2008 | 26 | |
| 18 | 2004 | 25 | |
| 19 | S100A8 and S100A9 expression is a crucial factor for dedifferentiation in thyroid carcinoma. | 2009 | 23 |
| 20 | 2005 | 20 |
About K Arai
K Arai is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Oncology and Epidemiology, having authored 120 papers that have together received 1.8k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (16 papers), Gastric Cancer Management and Outcomes (11 papers), Renal Transplantation Outcomes and Treatments (11 papers), Protease and Inhibitor Mechanisms (10 papers), Magneto-Optical Properties and Applications (7 papers), Gastrointestinal Tumor Research and Treatment (6 papers), Magnetic properties of thin films (6 papers) and Metastasis and carcinoma case studies (5 papers). The work is most often cited by research in Hepatology (380 citations), Transplantation (57 citations), Cancer Research (225 citations), Clinical Biochemistry (84 citations) and Immunology (218 citations). K Arai has collaborated with scholars based in Japan, Sri Lanka and France. Frequent co-authors include Ryushi Nozawa, Toshihiro Yamada, Takumi Teratani, Yoshifumi Tada, Naoyuki Taniguchi, K Oikawa, Susumu Iizuka, O Matsui, Toshifumi Gabata and Masumi Kadoya. Their work appears in journals such as Medical Molecular Morphology, Oncology Reports, Journal of Magnetism and Magnetic Materials, Journal of Clinical Oncology and Biochemical and Biophysical Research Communications.
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.