Hiroko Kishikawa
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
Papers in
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- Cancer-related gene regulation 3
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- Neonatal Respiratory Health Research 11
- Respiratory Support and Mechanisms 5
- Co-authors
- I‐Cheng Ho (3 shared papers)Shi‐Chuen Miaw (2 shared papers)David M. Wu (3 shared papers)Guo‐fu Hu (4 shared papers)Jenny Sun (1 shared paper)James C. Dabrowiak (3 shared papers)Winnie Xin (2 shared papers)Katherine B. Sims (2 shared papers)
- Journals
- Scientific Reports (4 papers)Angiogenesis (3 papers)Immunity (2 papers)Pediatric Research (2 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesAustraliaTaiwan
In The Last Decade
Hiroko Kishikawa
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Immunology 396
- Neurology 127
- Genetics 86
- Cancer Research 101
- Molecular Biology 445
Countries citing papers authored by Hiroko Kishikawa
This map shows the geographic impact of Hiroko Kishikawa'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 Hiroko Kishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroko Kishikawa more than expected).
Fields of papers citing papers by Hiroko Kishikawa
This network shows the impact of papers produced by Hiroko Kishikawa. 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 Hiroko Kishikawa. The network helps show where Hiroko Kishikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroko Kishikawa, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 155 | |
| 2 | 2003 | 125 | |
| 3 | 2000 | 121 | |
| 4 | 2001 | 120 | |
| 5 | 2017 | 83 | |
| 6 | 1991 | 59 | |
| 7 | 1997 | 55 | |
| 8 | 2012 | 47 | |
| 9 | 2022 | 44 | |
| 10 | 1986 | 43 | |
| 11 | 2006 | 39 | |
| 12 | 2008 | 36 | |
| 13 | 2009 | 35 | |
| 14 | 2018 | 21 | |
| 15 | 2010 | 20 | |
| 16 | 1998 | 19 | |
| 17 | 2022 | 16 | |
| 18 | 2020 | 16 | |
| 19 | 2018 | 12 | |
| 20 | 2022 | 8 |
About Hiroko Kishikawa
Hiroko Kishikawa is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Immunology and Cancer Research, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (11 papers), Congenital Diaphragmatic Hernia Studies (9 papers), Respiratory Support and Mechanisms (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Immune Cell Function and Interaction (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Immunology (396 citations), Neurology (127 citations), Genetics (86 citations), Cancer Research (101 citations) and Molecular Biology (445 citations). Hiroko Kishikawa has collaborated with scholars based in United States, Australia and Taiwan. Frequent co-authors include I‐Cheng Ho, Shi‐Chuen Miaw, David M. Wu, Guo‐fu Hu, Jenny Sun, James C. Dabrowiak, Winnie Xin, Katherine B. Sims, Ran Song and David S. Lawrence. Their work appears in journals such as Scientific Reports, Angiogenesis, Immunity, Pediatric Research and Journal of the American Chemical Society.
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.