Jun‐ichi Nezu
Impact in
- Clinical Biochemistry top 0.05%
- Metabolism and Genetic Disorders
- Biochemistry top 0.2%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Metabolism and Genetic Disorders 19
- Biochemistry 10
- Amino Acid Enzymes and Metabolism 10
- Co-authors
- Ikumi TamaiYoshimichi SaiMiyuki ShimaneAsuka OkuAkira TsujiRikiya OhashiDieter E. JenneHikaru Yabuuchi
- Journals
- Cancer Research (4 papers)Journal of Pharmacology and Experimental Therapeutics (4 papers)Journal of Biological Chemistry (3 papers)Genomics (3 papers)Drug Metabolism and Pharmacokinetics (3 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Jun‐ichi Nezu
54 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Clinical Biochemistry 1.9k
- Biochemistry 884
- Oncology 2.8k
- Pediatrics, Perinatology and Child Health 1.1k
- Pathology and Forensic Medicine 855
Countries citing papers authored by Jun‐ichi Nezu
This map shows the geographic impact of Jun‐ichi Nezu'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 Jun‐ichi Nezu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐ichi Nezu more than expected).
Fields of papers citing papers by Jun‐ichi Nezu
This network shows the impact of papers produced by Jun‐ichi Nezu. 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 Jun‐ichi Nezu. The network helps show where Jun‐ichi Nezu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐ichi Nezu, 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 | 2023 | 3 | |
| 2 | 2018 | 40 | |
| 3 | 2016 | 11 | |
| 4 | 2008 | 91 | |
| 5 | 2006 | 24 | |
| 6 | 2004 | 89 | |
| 7 | 2002 | 257 | |
| 8 | 2002 | 55 | |
| 9 | 2001 | 186 | |
| 10 | No evidence of Peutz-Jeghers syndrome gene LKB1 involvement in left-sided colorectal carcinomas. | 2000 | 27 |
| 11 | 2000 | 241 | |
| 12 | 1999 | 58 | |
| 13 | 1999 | 134 | |
| 14 | 1999 | 268 | |
| 15 | 1999 | 213 | |
| 16 | 1999 | 31 | |
| 17 | Peutz-Jeghers syndrome is caused by mutations in a novel serine threoninekinase Hit paper breakdown → | 1998 | 869 |
| 18 | 1998 | 159 | |
| 19 | 1997 | 117 | |
| 20 | 1997 | 229 |
About Jun‐ichi Nezu
Jun‐ichi Nezu is a scholar working on Clinical Biochemistry, Biochemistry, Oncology, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health, having authored 54 papers that have together received 6.2k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (19 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Drug Transport and Resistance Mechanisms (13 papers), Amino Acid Enzymes and Metabolism (10 papers), Mitochondrial Function and Pathology (8 papers), Glycosylation and Glycoproteins Research (7 papers), Protein purification and stability (6 papers) and Neonatal Health and Biochemistry (5 papers). The work is most often cited by research in Clinical Biochemistry (1.9k citations), Biochemistry (884 citations), Oncology (2.8k citations), Pediatrics, Perinatology and Child Health (1.1k citations) and Pathology and Forensic Medicine (855 citations). Jun‐ichi Nezu has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Ikumi Tamai, Yoshimichi Sai, Miyuki Shimane, Asuka Oku, Akira Tsuji, Rikiya Ohashi, Akira Tsuji, Dieter E. Jenne, Hikaru Yabuuchi and Michael Zimmer. Their work appears in journals such as Cancer Research, Journal of Pharmacology and Experimental Therapeutics, Journal of Biological Chemistry, Genomics and Drug Metabolism and Pharmacokinetics.
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.