Yo Niida
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Physiology top 5%
- Tuberous Sclerosis Complex Research
- Histiocytic Disorders and Treatments
Papers in
-
- RNA modifications and cancer 6
- Genetics 23
- Genomic variations and chromosomal abnormalities 8
- Co-authors
- Vijaya Ramesh (5 shared papers)Hiroki Ura (30 shared papers)Sumihito Togi (27 shared papers)Katherine B. Sims (2 shared papers)David J. Kwiatkowski (2 shared papers)Anat Stemmer‐Rachamimov (2 shared papers)Mia MacCollin (2 shared papers)Roberta L. Beauchamp (2 shared papers)
- Journals
- International Journal of Molecular Sciences (6 papers)Stem Cell Research (5 papers)Brain and Development (4 papers)Cytogenetic and Genome Research (3 papers)Scientific Reports (2 papers)
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Yo Niida
88 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 101
- Genetics 205
- Physiology 432
- Immunology 338
- Genetics 334
- Oncology 244
Countries citing papers authored by Yo Niida
This map shows the geographic impact of Yo Niida'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 Yo Niida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yo Niida more than expected).
Fields of papers citing papers by Yo Niida
This network shows the impact of papers produced by Yo Niida. 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 Yo Niida. The network helps show where Yo Niida may publish in the future.
Co-authors
The 25 scholars most cited alongside Yo Niida, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 148 | |
| 2 | Deficient expression of Bruton's tyrosine kinase in monocytes from X-linked agammaglobulinemia as evaluated by a flow cytometric analysis and its clinical application to carrier detection. | 1998 | 140 |
| 3 | 1999 | 123 | |
| 4 | 1996 | 109 | |
| 5 | 1999 | 92 | |
| 6 | 1996 | 70 | |
| 7 | 2016 | 63 | |
| 8 | 2005 | 62 | |
| 9 | 2002 | 54 | |
| 10 | 2005 | 47 | |
| 11 | 2005 | 42 | |
| 12 | 2013 | 39 | |
| 13 | 2013 | 38 | |
| 14 | 2013 | 36 | |
| 15 | 2008 | 32 | |
| 16 | 2013 | 30 | |
| 17 | 2020 | 27 | |
| 18 | 2018 | 25 | |
| 19 | 1999 | 24 | |
| 20 | 2021 | 21 |
About Yo Niida
Yo Niida is a scholar working on Molecular Biology, Genetics, Physiology, Oncology and Pathology and Forensic Medicine, having authored 93 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (14 papers), Genomic variations and chromosomal abnormalities (8 papers), Histiocytic Disorders and Treatments (8 papers), Cancer Genomics and Diagnostics (7 papers), RNA modifications and cancer (6 papers), Lysosomal Storage Disorders Research (6 papers), Polyomavirus and related diseases (6 papers) and Genetic factors in colorectal cancer (5 papers). The work is most often cited by research in Genetics (205 citations), Physiology (432 citations), Immunology (338 citations), Genetics (334 citations) and Oncology (244 citations). Yo Niida has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Vijaya Ramesh, Hiroki Ura, Sumihito Togi, Katherine B. Sims, David J. Kwiatkowski, Anat Stemmer‐Rachamimov, Mia MacCollin, Roberta L. Beauchamp, Akihiro Yachie and Takanori Tsuji. Their work appears in journals such as International Journal of Molecular Sciences, Stem Cell Research, Brain and Development, Cytogenetic and Genome Research and Scientific Reports.
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.