Yo Mori
Impact in
- Cancer Research top 2%
- Protease and Inhibitor Mechanisms
- Immunology and Allergy top 5%
Papers in
-
- Glycosylation and Glycoproteins Research 27
- Cell Biology 42
- Proteoglycans and glycosaminoglycans research 37
- Co-authors
- Akira Itô (29 shared papers)Takashi Sato (15 shared papers)Hideaki Nagase (14 shared papers)Atsushi Honda (24 shared papers)Yoshifumi Itoh (4 shared papers)Shun Hirakawa (11 shared papers)Yasuyuki Sasaguri (2 shared papers)Akihira Mukaiyama (1 shared paper)
- Journals
- Chemical and Pharmaceutical Bulletin (12 papers)FEBS Letters (8 papers)Biochemical Journal (7 papers)Biochimica et Biophysica Acta (BBA) - General Subjects (7 papers)The Journal of Biochemistry (7 papers)
- Partner nations
- JapanUnited StatesIsrael
In The Last Decade
Yo Mori
136 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 118
- Cancer Research 647
- Immunology and Allergy 164
- Hematology 262
- Cell Biology 367
- Immunology 420
Countries citing papers authored by Yo Mori
This map shows the geographic impact of Yo Mori'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 Yo Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yo Mori more than expected).
Fields of papers citing papers by Yo Mori
This network shows the impact of papers produced by Yo Mori. 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 Yo Mori. The network helps show where Yo Mori may publish in the future.
Co-authors
The 25 scholars most cited alongside Yo Mori, 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 145 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 340 | |
| 2 | 1998 | 128 | |
| 3 | 1991 | 121 | |
| 4 | 1992 | 107 | |
| 5 | 1990 | 103 | |
| 6 | 1994 | 99 | |
| 7 | 1990 | 92 | |
| 8 | 1986 | 91 | |
| 9 | 1985 | 82 | |
| 10 | 1997 | 68 | |
| 11 | 1980 | 57 | |
| 12 | 1988 | 52 | |
| 13 | 1985 | 50 | |
| 14 | 1992 | 49 | |
| 15 | 1986 | 46 | |
| 16 | 1981 | 42 | |
| 17 | 1999 | 42 | |
| 18 | 1989 | 41 | |
| 19 | 1996 | 40 | |
| 20 | 1987 | 40 |
About Yo Mori
Yo Mori is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Organic Chemistry and Genetics, having authored 145 papers that have together received 2.9k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (37 papers), Glycosylation and Glycoproteins Research (27 papers), Protease and Inhibitor Mechanisms (24 papers), Carbohydrate Chemistry and Synthesis (12 papers), Blood Coagulation and Thrombosis Mechanisms (10 papers), Helicobacter pylori-related gastroenterology studies (10 papers), Estrogen and related hormone effects (10 papers) and Connective tissue disorders research (10 papers). The work is most often cited by research in Cancer Research (647 citations), Immunology and Allergy (164 citations), Hematology (262 citations), Cell Biology (367 citations) and Immunology (420 citations). Yo Mori has collaborated with scholars based in Japan, United States and Israel. Frequent co-authors include Akira Itô, Takashi Sato, Hideaki Nagase, Atsushi Honda, Yoshifumi Itoh, Shun Hirakawa, Yasuyuki Sasaguri, Akihira Mukaiyama, Ida B. Thøgersen and Jan J. Enghild. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, FEBS Letters, Biochemical Journal, Biochimica et Biophysica Acta (BBA) - General Subjects and The Journal of Biochemistry.
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.