Jun Imai
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
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- Catalytic Processes in Materials Science 6
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- Fungal and yeast genetics research 4
- Ubiquitin and proteasome pathways 3
- Co-authors
- Ichiro Yahara (4 shared papers)Yasushi Matsui (3 shared papers)Akio Toh‐e (3 shared papers)Katsumi Kaneko (8 shared papers)Mikako Maruya (3 shared papers)Lea Guo (1 shared paper)Fuyuhiko Tamanoi (1 shared paper)Takaomi Suzuki (5 shared papers)
- Journals
- Langmuir (4 papers)Wear (2 papers)Molecular and Cellular Biology (2 papers)European Journal of Pharmaceutics and Biopharmaceutics (2 papers)Journal of Colloid and Interface Science (2 papers)
- Partner nations
- JapanUnited StatesCzechia
In The Last Decade
Jun Imai
70 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 133
- Pharmacology 228
- Cell Biology 366
- Aging 29
- Pharmaceutical Science 99
- Molecular Biology 921
Countries citing papers authored by Jun Imai
This map shows the geographic impact of Jun Imai'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 Imai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Imai more than expected).
Fields of papers citing papers by Jun Imai
This network shows the impact of papers produced by Jun Imai. 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 Imai. The network helps show where Jun Imai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Imai, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 194 | |
| 2 | 1999 | 173 | |
| 3 | 1998 | 149 | |
| 4 | 1994 | 141 | |
| 5 | 2000 | 116 | |
| 6 | 2008 | 115 | |
| 7 | 2000 | 110 | |
| 8 | 2002 | 98 | |
| 9 | 2017 | 84 | |
| 10 | 2004 | 80 | |
| 11 | 1991 | 76 | |
| 12 | 1996 | 75 | |
| 13 | 1996 | 71 | |
| 14 | Complete regression of xenografted human carcinomas by camptothecin analogue-carboxymethyl dextran conjugate (T-0128). | 2000 | 71 |
| 15 | 2003 | 70 | |
| 16 | 2017 | 49 | |
| 17 | 2001 | 42 | |
| 18 | Immunohistochemical expression of T, Tn and sialyl-Tn antigens and clinical outcome in human breast carcinoma. | 2001 | 36 |
| 19 | 2008 | 33 | |
| 20 | 1993 | 30 |
About Jun Imai
Jun Imai is a scholar working on Materials Chemistry, Molecular Biology, Cell Biology, Immunology and Oncology, having authored 71 papers that have together received 2.2k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (6 papers), Immunotherapy and Immune Responses (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Fungal and yeast genetics research (4 papers), Nanoparticle-Based Drug Delivery (4 papers), Ubiquitin and proteasome pathways (3 papers) and Advanced Photocatalysis Techniques (3 papers). The work is most often cited by research in Pharmacology (228 citations), Cell Biology (366 citations), Aging (29 citations), Pharmaceutical Science (99 citations) and Molecular Biology (921 citations). Jun Imai has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Ichiro Yahara, Yasushi Matsui, Akio Toh‐e, Katsumi Kaneko, Mikako Maruya, Lea Guo, Fuyuhiko Tamanoi, Takaomi Suzuki, Kenji Otsubo and Ichiro Ieiri. Their work appears in journals such as Langmuir, Wear, Molecular and Cellular Biology, European Journal of Pharmaceutics and Biopharmaceutics and Journal of Colloid and Interface Science.
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.