Jun Mori
Impact in
- Hematology top 2%
- Platelet Disorders and Treatments
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
- Hematology 11
- Platelet Disorders and Treatments 11
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- Protein Tyrosine Phosphatases 6
- PI3K/AKT/mTOR signaling in cancer 2
- Co-authors
- Yotis A. Senis (14 shared papers)Alexandra Mazharian (7 shared papers)Steve P. Watson (9 shared papers)Alice Y. Pollitt (3 shared papers)Johannes A. Eble (3 shared papers)Benjamin G. Neel (5 shared papers)Craig E. Hughes (3 shared papers)Silke Heising (5 shared papers)
- Journals
- Blood (8 papers)Journal of Thrombosis and Haemostasis (3 papers)Platelets (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jun Mori
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Hematology 504
- Immunology and Allergy 133
- Immunology 280
- Genetics 116
- Internal Medicine 35
Countries citing papers authored by Jun Mori
This map shows the geographic impact of Jun 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 Jun Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Mori more than expected).
Fields of papers citing papers by Jun Mori
This network shows the impact of papers produced by Jun 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 Jun Mori. The network helps show where Jun Mori may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 211 | |
| 2 | 2011 | 142 | |
| 3 | 2010 | 115 | |
| 4 | 2014 | 94 | |
| 5 | 2009 | 76 | |
| 6 | 2012 | 68 | |
| 7 | 2013 | 62 | |
| 8 | 2008 | 51 | |
| 9 | 2018 | 46 | |
| 10 | 2012 | 42 | |
| 11 | 2018 | 32 | |
| 12 | 2018 | 29 | |
| 13 | 2010 | 27 | |
| 14 | 2012 | 26 | |
| 15 | 2019 | 20 | |
| 16 | 2020 | 16 | |
| 17 | 2011 | 8 | |
| 18 | 2021 | 7 |
About Jun Mori
Jun Mori is a scholar working on Hematology, Molecular Biology, Immunology and Allergy, Immunology and Surgery, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (11 papers), Protein Tyrosine Phosphatases (6 papers), Cell Adhesion Molecules Research (5 papers), Complement system in diseases (3 papers), Galectins and Cancer Biology (2 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers), Mast cells and histamine (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Hematology (504 citations), Immunology and Allergy (133 citations), Immunology (280 citations), Genetics (116 citations) and Internal Medicine (35 citations). Jun Mori has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Yotis A. Senis, Alexandra Mazharian, Steve P. Watson, Alice Y. Pollitt, Johannes A. Eble, Benjamin G. Neel, Craig E. Hughes, Silke Heising, Michael G. Tomlinson and Zoltán Nagy. Their work appears in journals such as Blood, Journal of Thrombosis and Haemostasis, Platelets, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Biological Chemistry.
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.