Akiteru Goto

5.1k total citations
134 papers, 3.7k citations indexed

About

Akiteru Goto is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Akiteru Goto has authored 134 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 37 papers in Pulmonary and Respiratory Medicine and 30 papers in Surgery. Recurrent topics in Akiteru Goto's work include MicroRNA in disease regulation (13 papers), Epigenetics and DNA Methylation (13 papers) and Sarcoma Diagnosis and Treatment (11 papers). Akiteru Goto is often cited by papers focused on MicroRNA in disease regulation (13 papers), Epigenetics and DNA Methylation (13 papers) and Sarcoma Diagnosis and Treatment (11 papers). Akiteru Goto collaborates with scholars based in Japan, United States and China. Akiteru Goto's co-authors include Masashi Fukayama, Toshiro Niki, Daichi Maeda, Jun Nakajima, Teppei Morikawa, Atsuhiko Sakamoto, Curtis C. Harris, Aaron J. Schetter, Izumi Horikawa and Elise D. Bowman and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Akiteru Goto

127 papers receiving 3.7k citations

Peers

Akiteru Goto
Comparison fields: 5 of 115
  • Molecular Biology 1.9k
  • Cancer Research 1.0k
  • Oncology 973
  • Pulmonary and Respiratory Medicine 684
  • Surgery 568
Replace Zenya Naito with:
Zenya Naito Japan
Hiroshi Kanetake Japan
Katsuhiro Uzawa Japan
Ahmed Shabaik United States
Mathilde Sibony France
Calvin Vary United States
Mireia Castillo-Martín United States
W. Böcker Germany
Marta Sänchez‐Carbayo Spain
Georg Schäfer Austria
Zenya Naito Japan View profile →
Citations per field, relative to Akiteru Goto
Akiteru Goto · 1×
Citations per year, relative to Akiteru Goto
Akiteru Goto · 1×

Countries citing papers authored by Akiteru Goto

Since Specialization
Citations

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

Fields of papers citing papers by Akiteru Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiteru Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Akiteru Goto. A scholar is included among the top collaborators of Akiteru Goto 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 Akiteru Goto. Akiteru Goto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 1
4 4
5 1
6 5
7 14
8 9
9 1
10 2
11 20
12 33
13 17
14 30
15 34
16 56
17 69
18 109
19 38
20 44

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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