Shoko Kimura
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Liver Disease and Transplantation
- Transplantation top 5%
Papers in
- Surgery 17
- Organ Transplantation Techniques and Outcomes 14
- Immunology 10
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 4
- 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)Michiyori Kobayashi (5 shared papers)
- Journals
- Hepatology (5 papers)American Journal of Transplantation (4 papers)Gene (3 papers)Liver Transplantation (3 papers)Minerals Engineering (2 papers)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Shoko Kimura
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Hepatology 250
- Transplantation 64
- Immunology 315
- Physiology 42
- Cell Biology 111
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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 112 | |
| 2 | 2013 | 97 | |
| 3 | 2012 | 72 | |
| 4 | 2012 | 65 | |
| 5 | CD4+ T cells from peripheral blood of a melanoma patient recognize peptides derived from nonmutated tyrosinase. | 1998 | 65 |
| 6 | 2014 | 60 | |
| 7 | 1999 | 55 | |
| 8 | 2011 | 54 | |
| 9 | 2013 | 53 | |
| 10 | 2012 | 47 | |
| 11 | 1997 | 44 | |
| 12 | 2015 | 43 | |
| 13 | 2011 | 35 | |
| 14 | 2012 | 33 | |
| 15 | 2014 | 30 | |
| 16 | 2016 | 28 | |
| 17 | 2019 | 25 | |
| 18 | 2014 | 24 | |
| 19 | 2015 | 22 | |
| 20 | 2016 | 20 |
About Shoko Kimura
Shoko Kimura is a scholar working on Surgery, Immunology, Molecular Biology, Hepatology and Epidemiology, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (14 papers), Immune Cell Function and Interaction (7 papers), Renal Transplantation Outcomes and Treatments (5 papers), Hemoglobin structure and function (5 papers), Liver physiology and pathology (4 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Hepatology (250 citations), Transplantation (64 citations), Immunology (315 citations), Physiology (42 citations) and Cell Biology (111 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, Michiyori Kobayashi, Hideo Yamagata and Toshihiro Ohta. Their work appears in journals such as Hepatology, American Journal of Transplantation, Gene, Liver Transplantation 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.