Katsumi Mera
- Clinical Biochemistry top 1%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Nephrology top 5%
- Co-authors
- Masaki OtagiriToru MaruyamaRyoji NagaiYukio FujiwaraMakoto AnrakuKeisuke NakajouKenichiro KitamuraYasunori Iwao
- Topics
- Advanced Glycation End Products research (15 papers)Alcohol Consumption and Health Effects (9 papers)Dialysis and Renal Disease Management (4 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsFree Radical Biology and MedicineAnnals of the New York Academy of Sciences
- Partner nations
- JapanDenmarkUnited States
In The Last Decade
Katsumi Mera
22 papers receiving 614 citations
Peers
Comparison fields: 5 of 86
- Clinical Biochemistry 282
- Molecular Biology 243
- Pathology and Forensic Medicine 129
- Endocrinology, Diabetes and Metabolism 124
- Nephrology 108
Countries citing papers authored by Katsumi Mera
This map shows the geographic impact of Katsumi Mera'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 Katsumi Mera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsumi Mera more than expected).
Fields of papers citing papers by Katsumi Mera
This network shows the impact of papers produced by Katsumi Mera. 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 Katsumi Mera. The network helps show where Katsumi Mera may publish in the future.
Co-authorship network of co-authors of Katsumi Mera
This figure shows the co-authorship network connecting the top 25 collaborators of Katsumi Mera. A scholar is included among the top collaborators of Katsumi Mera 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 Katsumi Mera. Katsumi Mera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 50 | |
| 3 | 34 | |
| 4 | 9 | |
| 5 | 42 | |
| 6 | 43 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 39 | |
| 11 | 18 | |
| 12 | 34 | |
| 13 | 27 | |
| 14 | 13 | |
| 15 | 35 | |
| 16 | 17 | |
| 17 | 33 | |
| 18 | 113 | |
| 19 | 41 | |
| 20 | 18 |
About Katsumi Mera
Katsumi Mera is a scholar working on Clinical Biochemistry, Nephrology and Pathology and Forensic Medicine, having authored 22 papers that have together received 623 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (15 papers), Alcohol Consumption and Health Effects (9 papers) and Dialysis and Renal Disease Management (4 papers). The work is most often cited by research in Clinical Biochemistry (282 citations), Nephrology (108 citations) and Endocrinology, Diabetes and Metabolism (124 citations). Katsumi Mera has collaborated with scholars based in Japan, Denmark and United States. Frequent co-authors include Masaki Otagiri, Toru Maruyama, Ryoji Nagai, Yukio Fujiwara, Makoto Anraku, Keisuke Nakajou, Kenichiro Kitamura, Yasunori Iwao, Motohiro Takeya and Naomi Sakashita. Their work appears in journals such as Biochemical and Biophysical Research Communications, Free Radical Biology and Medicine and Annals of the New York Academy of Sciences.
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.