Yoichi Nagata

2.5k total citations · 1 hit paper
15 papers, 2.0k citations indexed

About

Yoichi Nagata is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Yoichi Nagata has authored 15 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Epidemiology. Recurrent topics in Yoichi Nagata's work include HER2/EGFR in Cancer Research (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Yoichi Nagata is often cited by papers focused on HER2/EGFR in Cancer Research (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Yoichi Nagata collaborates with scholars based in Japan, United States and Uganda. Yoichi Nagata's co-authors include Dihua Yu, Kristine S. Klos, Keng‐Hsueh Lan, Ming Tan, Xiaoyan Zhou, Mien‐Chie Hung, Ping Li, Ayşegül A. Şahin, Gabriel N. Hortobágyi and Brett P. Monia and has published in prestigious journals such as Molecular Cell, Cancer Cell and Cancer.

In The Last Decade

Yoichi Nagata

14 papers receiving 1.9k citations

Hit Papers

PTEN activation contributes to tumor inhibition by trastu... 2004 2026 2011 2018 2004 400 800 1.2k

Peers

Yoichi Nagata
Comparison fields: 5 of 92
  • Oncology 1.3k
  • Molecular Biology 1.1k
  • Radiology, Nuclear Medicine and Imaging 620
  • Pulmonary and Respiratory Medicine 270
  • Cancer Research 244
Replace Keng‐Hsueh Lan with:
Keng‐Hsueh Lan Taiwan
Amol Tandon United States
Anne E.G. Lenferink Canada
Wenle Xia United States
Jay Sarup United States
Xuewu Zhang China
DJ Slamon United States
Michael T. Lipari United States
Maria G. Olivares United States
Ron Yu United States
Keng‐Hsueh Lan Taiwan View profile →
Citations per field, relative to Yoichi Nagata
Yoichi Nagata · 1×
Citations per year, relative to Yoichi Nagata
Yoichi Nagata · 1×

Countries citing papers authored by Yoichi Nagata

Since Specialization
Citations

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

Fields of papers citing papers by Yoichi Nagata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoichi Nagata

This figure shows the co-authorship network connecting the top 25 collaborators of Yoichi Nagata. A scholar is included among the top collaborators of Yoichi Nagata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yoichi Nagata. Yoichi Nagata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 10
2 85
3
PTEN activation contributes to tumor inhibition by trastuzumab, and loss of PTEN predicts trastuzumab resistance in patients breakdown →
1405
4
[Histopathological findings in cytomegalovirus retinitis].
3
5 83
6 108
7 0
8 17
9 89
10 5
11 79
12 19
13 6
14 9
15 36

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.

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2026