N Arakaki
- Hepatology top 0.5%
- Liver physiology and pathology 15
- Surgery top 5%
- Pancreatic function and diabetes 5
- Organ Transplantation Techniques and Outcomes 3
- Pancreatitis Pathology and Treatment 2
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 10
- Hepatitis B Virus Studies 3
- Molecular Biology top 10%
- ATP Synthase and ATPases Research 2
- Oncology top 10%
-
- Digestive system and related health 2
- Co-authors
- Yasushi DaikuharaHirohito TsubouchiT HishidaHarald RiederChrista FonatschK. Michael WeidnerGuido HartmannJoël Vandekerckhove
- Cited by
- HepatologySurgeryEpidemiology
- Journals
- Journal of Biological Chemistry (5 papers)British Journal of Cancer (3 papers)Digestive Diseases and Sciences (2 papers)
- Partner nations
- JapanUnited KingdomGermany
In The Last Decade
N Arakaki
22 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Hepatology 1.5k
- Surgery 928
- Epidemiology 471
- Molecular Biology 775
- Oncology 275
Countries citing papers authored by N Arakaki
This map shows the geographic impact of N Arakaki'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 N Arakaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N Arakaki more than expected).
Fields of papers citing papers by N Arakaki
This network shows the impact of papers produced by N Arakaki. 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 N Arakaki. The network helps show where N Arakaki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside N Arakaki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 16 | |
| 2 | 1998 | 11 | |
| 3 | 1998 | 35 | |
| 4 | 1996 | 10 | |
| 5 | 1996 | 35 | |
| 6 | 1996 | 58 | |
| 7 | 1995 | 8 | |
| 8 | 1994 | 12 | |
| 9 | 1993 | 200 | |
| 10 | 1992 | 24 | |
| 11 | 1992 | 30 | |
| 12 | Evidence for the identy of human scatter factor and human hepatocyte growth factor. | 1991 | 153 |
| 13 | 1991 | 9 | |
| 14 | 1991 | 178 | |
| 15 | 1991 | 28 | |
| 16 | 1991 | 36 | |
| 17 | 1990 | 6 | |
| 18 | Molecular cloning and sequence analysis of cDNA for human hepatocyte growth factorbreakdown → | 1989 | 590 |
| 19 | 1981 | 12 | |
| 20 | 1980 | 19 |
About N Arakaki
N Arakaki is a scholar working on Hepatology, Epidemiology, Surgery, Rheumatology and Nephrology, having authored 22 papers that have together received 2.1k indexed citations. Recurring topics across this work include Liver physiology and pathology (15 papers), Liver Disease Diagnosis and Treatment (10 papers), Pancreatic function and diabetes (5 papers), Organ Transplantation Techniques and Outcomes (3 papers), Hepatitis B Virus Studies (3 papers), ATP Synthase and ATPases Research (2 papers), Pancreatitis Pathology and Treatment (2 papers) and Digestive system and related health (2 papers). The work is most often cited by research in Hepatology (1.5k citations), Surgery (928 citations), Epidemiology (471 citations), Molecular Biology (775 citations) and Oncology (275 citations). N Arakaki has collaborated with scholars based in Japan, United Kingdom and Germany. Frequent co-authors include Yasushi Daikuhara, Hirohito Tsubouchi, T Hishida, Harald Rieder, Christa Fonatsch, K. Michael Weidner, Guido Hartmann, Joël Vandekerckhove, Hiroyuki Nakayama and Haruhiko Takada. Their work appears in journals such as Journal of Biological Chemistry, British Journal of Cancer, Digestive Diseases and Sciences, The Journal of Biochemistry 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.