Naoaki Akisawa
- Epidemiology top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Hepatology top 5%
- Cell Biology top 10%
- Co-authors
- Saburo OnishiToshiji SaibaraMasafumi OnoShinji IwasakiYasuko NozakiMichael A. HollingsworthYoshihisa NemotoHideaki Enzan
- Topics
- Liver Disease Diagnosis and Treatment (11 papers)Liver Diseases and Immunity (5 papers)Cancer, Lipids, and Metabolism (3 papers)
- Journals
- Journal of Biological ChemistryHepatologyBiochemical and Biophysical Research Communications
- Partner nations
- JapanNetherlandsUnited Kingdom
In The Last Decade
Naoaki Akisawa
21 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 70
- Epidemiology 592
- Molecular Biology 341
- Endocrinology, Diabetes and Metabolism 316
- Hepatology 243
- Cell Biology 158
Countries citing papers authored by Naoaki Akisawa
This map shows the geographic impact of Naoaki Akisawa'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 Naoaki Akisawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoaki Akisawa more than expected).
Fields of papers citing papers by Naoaki Akisawa
This network shows the impact of papers produced by Naoaki Akisawa. 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 Naoaki Akisawa. The network helps show where Naoaki Akisawa may publish in the future.
Co-authorship network of co-authors of Naoaki Akisawa
This figure shows the co-authorship network connecting the top 25 collaborators of Naoaki Akisawa. A scholar is included among the top collaborators of Naoaki Akisawa 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 Naoaki Akisawa. Naoaki Akisawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 14 | |
| 3 | 94 | |
| 4 | 186 | |
| 5 | Modified diagnostic criteria of drug-induced liver injury proposed by the international consensus meeting. | 5 |
| 6 | Usefulness of laparoscopic radiofrequency ablation of hepatocellular carcinoma. | 6 |
| 7 | 4 | |
| 8 | 41 | |
| 9 | 189 | |
| 10 | 7 | |
| 11 | 34 | |
| 12 | 26 | |
| 13 | 3 | |
| 14 | 20 | |
| 15 | 13 | |
| 16 | 16 | |
| 17 | 125 | |
| 18 | 160 | |
| 19 | 5 | |
| 20 | 33 |
About Naoaki Akisawa
Naoaki Akisawa is a scholar working on Hepatology, Epidemiology and Toxicology, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Liver Diseases and Immunity (5 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Hepatology (243 citations), Endocrinology, Diabetes and Metabolism (316 citations) and Epidemiology (592 citations). Naoaki Akisawa has collaborated with scholars based in Japan, Netherlands and United Kingdom. Frequent co-authors include Saburo Onishi, Toshiji Saibara, Masafumi Ono, Shinji Iwasaki, Yasuko Nozaki, Michael A. Hollingsworth, Yoshihisa Nemoto, Hideaki Enzan, Makoto Hiroi and Masaya Takahashi. Their work appears in journals such as Journal of Biological Chemistry, Hepatology 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.