Kōichi Goto

24.2k citations
497 papers · 10.8k indexed · 5 hit papers · h-index 50
Topics
Lung Cancer Treatments and Mutations (289 papers)Lung Cancer Research Studies (136 papers)Lung Cancer Diagnosis and Treatment (100 papers)

In The Last Decade

Kōichi Goto

475 papers receiving 10.6k citations

Hit Papers

Erlotinib alone or with bevacizumab as first-line therapy...201420262018202220142017202020182022100200300400500

Peers

Kōichi Goto
Comparison fields: 5 of 170
  • Oncology 6.6k
  • Pulmonary and Respiratory Medicine 6.4k
  • Molecular Biology 3.4k
  • Cancer Research 1.9k
  • Epidemiology 1.2k
Replace Katsuyuki Kiura with:
Katsuyuki Kiura Japan
Daniel Morgensztern United States
Marina Chiara Garassino Italy
Ji‐Youn Han South Korea
Nico van Zandwijk Netherlands
Julien Mazières France
Won Ki Kang South Korea
Shinichi Toyooka Japan
Fumihiro Tanaka Japan
Julian R. Molina United States
Kōichi Goto relative to Katsuyuki Kiura Japan Katsuyuki Kiura's profile →
Citations per field
00.5×1.5×2.0×
Katsuyuki Kiura · 1×
Citations per year

Countries citing papers authored by Kōichi Goto

Since Specialization
Citations

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

Fields of papers citing papers by Kōichi Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kōichi Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Kōichi Goto. A scholar is included among the top collaborators of Kōichi 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 Kōichi Goto. Kōichi 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
#WorkIndexed citations
1 0
2 2
3 1
4 7
5 4
6 2
7 2
8 4
9 10
10 7
11 3
12
Selpercatinib in Patients With RET Fusion–Positive Non–Small-Cell Lung Cancer: Updated Safety and Efficacy From the Registrational LIBRETTO-001 Phase I/II Trialbreakdown →
119
13 6
14 49
15 38
16 55
17 33
18 131
19 139
20 102

About Kōichi Goto

Kōichi Goto is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 497 papers that have together received 10.8k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (289 papers), Lung Cancer Research Studies (136 papers) and Lung Cancer Diagnosis and Treatment (100 papers). The work is most often cited by research in Oncology (6.6k citations), Pulmonary and Respiratory Medicine (6.4k citations) and Cancer Research (1.9k citations). Kōichi Goto has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Kiyotaka Yoh, Seiji Niho, Genichiro Ishii, Shingo Matsumoto, Yutaka Nishiwaki, Hironobu Ohmatsu, Yuichiro Ohe, Takashi Seto, Nobuyuki Yamamoto and Makoto Nishio. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Nature Genetics.

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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