Shoko Kimura
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Liver physiology and pathology
- Transplantation top 5%
Papers in
- Surgery 19
- Organ Transplantation Techniques and Outcomes 16
- Immunology 13
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 5
- Co-authors
- Noriko Murase (12 shared papers)Angus W. Thomson (12 shared papers)David A. Geller (13 shared papers)Osamu Yoshida (9 shared papers)Shinichiro Yokota (9 shared papers)Donna B. Stolz (7 shared papers)Kikumi S. Ozaki (5 shared papers)Hideo Yamagata (4 shared papers)
- Journals
- Hepatology (5 papers)American Journal of Transplantation (3 papers)Gene (3 papers)The Journal of Immunology (2 papers)Minerals Engineering (2 papers)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Shoko Kimura
49 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Hepatology 277
- Transplantation 78
- Immunology 333
- Physiology 43
- Cell Biology 112
Countries citing papers authored by Shoko Kimura
This map shows the geographic impact of Shoko Kimura'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 Shoko Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoko Kimura more than expected).
Fields of papers citing papers by Shoko Kimura
This network shows the impact of papers produced by Shoko Kimura. 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 Shoko Kimura. The network helps show where Shoko Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Shoko Kimura, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 107 | |
| 2 | 2013 | 93 | |
| 3 | 2012 | 69 | |
| 4 | CD4+ T cells from peripheral blood of a melanoma patient recognize peptides derived from nonmutated tyrosinase. | 1998 | 61 |
| 5 | 2012 | 60 | |
| 6 | 2014 | 59 | |
| 7 | 1999 | 54 | |
| 8 | 2013 | 51 | |
| 9 | 2011 | 50 | |
| 10 | 2012 | 45 | |
| 11 | 1997 | 43 | |
| 12 | 2015 | 43 | |
| 13 | 2011 | 35 | |
| 14 | 2012 | 33 | |
| 15 | 2014 | 30 | |
| 16 | 2016 | 26 | |
| 17 | 2019 | 25 | |
| 18 | 2014 | 22 | |
| 19 | 2015 | 22 | |
| 20 | 2019 | 18 |
About Shoko Kimura
Shoko Kimura is a scholar working on Surgery, Immunology, Hepatology, Epidemiology and Molecular Biology, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (16 papers), Immune Cell Function and Interaction (8 papers), Liver Disease and Transplantation (7 papers), Renal Transplantation Outcomes and Treatments (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Liver physiology and pathology (5 papers), Immunotherapy and Immune Responses (5 papers) and Hemoglobin structure and function (5 papers). The work is most often cited by research in Hepatology (277 citations), Transplantation (78 citations), Immunology (333 citations), Physiology (43 citations) and Cell Biology (112 citations). Shoko Kimura has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Noriko Murase, Angus W. Thomson, David A. Geller, Osamu Yoshida, Shinichiro Yokota, Donna B. Stolz, Kikumi S. Ozaki, Hideo Yamagata, Shin‐ichi Tokishita and Toshihiro Ohta. Their work appears in journals such as Hepatology, American Journal of Transplantation, Gene, The Journal of Immunology and Minerals Engineering.
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.