Shuko Harada
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
- Oncology top 10%
Papers in
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- Sarcoma Diagnosis and Treatment 11
- Renal cell carcinoma treatment 7
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- Cancer Genomics and Diagnostics 10
- Co-authors
- Leonard Jarett (15 shared papers)Diana M. Morlote (9 shared papers)Robert M. Smith (9 shared papers)Judith A. Smith (7 shared papers)Ximeng Liu (2 shared papers)Gene P. Siegal (12 shared papers)Roger M. Smith (3 shared papers)Rukhsana Nilofer Hasan (1 shared paper)
- Journals
- Human Pathology (6 papers)Modern Pathology (5 papers)American Journal of Clinical Pathology (5 papers)Journal of Molecular Diagnostics (3 papers)Endocrinology (3 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Shuko Harada
107 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 371
- Oncology 412
- Pathology and Forensic Medicine 243
- Genetics 109
- Pharmacology 89
Countries citing papers authored by Shuko Harada
This map shows the geographic impact of Shuko Harada'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 Shuko Harada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuko Harada more than expected).
Fields of papers citing papers by Shuko Harada
This network shows the impact of papers produced by Shuko Harada. 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 Shuko Harada. The network helps show where Shuko Harada may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuko Harada, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 242 | |
| 2 | 2020 | 169 | |
| 3 | 1999 | 108 | |
| 4 | 2019 | 106 | |
| 5 | 2017 | 59 | |
| 6 | 2011 | 49 | |
| 7 | 2019 | 49 | |
| 8 | 1996 | 48 | |
| 9 | 2003 | 45 | |
| 10 | 1993 | 45 | |
| 11 | 1998 | 44 | |
| 12 | 2020 | 44 | |
| 13 | 2016 | 35 | |
| 14 | 2011 | 30 | |
| 15 | 2015 | 29 | |
| 16 | 1995 | 29 | |
| 17 | 2020 | 28 | |
| 18 | 1999 | 28 | |
| 19 | 2021 | 26 | |
| 20 | 2015 | 26 |
About Shuko Harada
Shuko Harada is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 114 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (13 papers), Sarcoma Diagnosis and Treatment (11 papers), Cancer Genomics and Diagnostics (10 papers), Molecular Biology Techniques and Applications (9 papers), Pancreatic function and diabetes (8 papers), Renal cell carcinoma treatment (7 papers), Renal and related cancers (6 papers) and Genetic factors in colorectal cancer (6 papers). The work is most often cited by research in Cancer Research (371 citations), Oncology (412 citations), Pathology and Forensic Medicine (243 citations), Genetics (109 citations) and Pharmacology (89 citations). Shuko Harada has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Leonard Jarett, Diana M. Morlote, Robert M. Smith, Judith A. Smith, Ximeng Liu, Gene P. Siegal, Roger M. Smith, Rukhsana Nilofer Hasan, Morris F. White and Alexander Craig Mackinnon. Their work appears in journals such as Human Pathology, Modern Pathology, American Journal of Clinical Pathology, Journal of Molecular Diagnostics and Endocrinology.
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.