Satoko Nakada

35 papers receiving 997 citations

Peers

Satoko Nakada
Comparison fields: 5 of 80
  • Genetics 137
  • Hepatology 83
  • Developmental Neuroscience 39
  • Cell Biology 157
  • Cancer Research 132
Replace David R. Emlet with:
David R. Emlet United States
Christine Tan United States
Gal Akiri United States
Claudio Raimondi United Kingdom
Annie S.Y. Chan Hong Kong
Armelle Yart France
Dan Hicklin United States
Karen Rex United States
Adriana Estrada‐Bernal United States
Antonio Fioravanti Italy
Satoko Nakada relative to David R. Emlet United States David R. Emlet's profile →
Citations per field
00.5×1.5×
David R. Emlet · 1×
Citations per year

Countries citing papers authored by Satoko Nakada

Since Specialization
Citations

This map shows the geographic impact of Satoko Nakada'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 Satoko Nakada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoko Nakada more than expected).

Fields of papers citing papers by Satoko Nakada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satoko Nakada. 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 Satoko Nakada. The network helps show where Satoko Nakada may publish in the future.

Co-authors

The 25 scholars most cited alongside Satoko Nakada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Satoko Nakada Line = papers co-authored together Satoko Nakada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007309
2 2006112
3 200899
4 200795
5 200983
6 200854
7 201631
8 202231
9 200819
10 201717
11 201515
12 201815
13 201813
14 201813
15
Detection of high-risk human papillomavirus subtypes in cervical glandular neoplasia by in situ hybridization.
201313
16 201512
17 201012
18 202110
19 20198
20 20147

About Satoko Nakada

Satoko Nakada is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Neurology and Epidemiology, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Pituitary Gland Disorders and Treatments (4 papers), Sarcoma Diagnosis and Treatment (4 papers), Meningioma and schwannoma management (4 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Parvovirus B19 Infection Studies (3 papers), Soft tissue tumor case studies (3 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Genetics (137 citations), Hepatology (83 citations), Developmental Neuroscience (39 citations), Cell Biology (157 citations) and Cancer Research (132 citations). Satoko Nakada has collaborated with scholars based in Japan and United States. Frequent co-authors include Mitsutoshi Nakada, Michael E. Berens, Tim Demuth, Dominique B. Hoelzinger, Nhan L. Tran, Eric M. Anderson, Linsey B. Reavie, Jared A. Niska, Motoko Sasaki and Yasuni Nakanuma. Their work appears in journals such as Brain Tumor Pathology, Diagnostic Pathology, Cancer Research, Pathology International and Human Pathology.

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.

Explore authors with similar magnitude of impact