Makoto Nishio

30.8k citations
444 papers · 11.8k indexed · 10 hit papers · h-index 50
Topics
Lung Cancer Treatments and Mutations (313 papers)Lung Cancer Research Studies (168 papers)Lung Cancer Diagnosis and Treatment (102 papers)
Partner nations
JapanUnited StatesSpain

In The Last Decade

Makoto Nishio

423 papers receiving 11.6k citations

Hit Papers

Atezolizumab plus bevacizumab and chemotherapy...201320262017202120192014201620212013200400600

Peers

Makoto Nishio
Comparison fields: 5 of 130
  • Oncology 8.5k
  • Pulmonary and Respiratory Medicine 8.1k
  • Molecular Biology 2.9k
  • Cancer Research 1.8k
  • Epidemiology 1.3k
Replace Andrea Ardizzoni with:
Andrea Ardizzoni Italy
Isamu Okamoto Japan
Mark M. Awad United States
Natasha Rekhtman United States
Daniel Morgensztern United States
Ji‐Youn Han South Korea
Thierry Le Chevalier France
Maya Gottfried Israel
Balázs Halmos United States
Koji Tsuta Japan
Makoto Nishio relative to Andrea Ardizzoni Italy Andrea Ardizzoni's profile →
Citations per field
00.5×1.6×
Andrea Ardizzoni · 1×
Citations per year

Countries citing papers authored by Makoto Nishio

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Nishio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Nishio

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Nishio. A scholar is included among the top collaborators of Makoto Nishio 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 Makoto Nishio. Makoto Nishio 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 1
2 1
3 1
4 4
5 0
6 1
7 5
8 1
9 4
10 7
11 8
12 29
13
Updated Overall Survival and PD-L1 Subgroup Analysis of Patients With Extensive-Stage Small-Cell Lung Cancer Treated With Atezolizumab, Carboplatin, and Etoposide (IMpower133)breakdown →
484
14 37
15 16
16 14
17 10
18 79
19 5
20 23

About Makoto Nishio

Makoto Nishio is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 444 papers that have together received 11.8k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (313 papers), Lung Cancer Research Studies (168 papers) and Lung Cancer Diagnosis and Treatment (102 papers). The work is most often cited by research in Oncology (8.5k citations), Pulmonary and Respiratory Medicine (8.1k citations) and Cancer Research (1.8k citations). Makoto Nishio has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Takashi Seto, Toyoaki Hida, Nobuyuki Yamamoto, Kazuhiko Nakagawa, Tony Mok, Kōichi Goto, Tomohide Tamura, Naoyuki Nogami, Yuichiro Ohe and Atsushi Horiike. Their work appears in journals such as Nature Medicine, The Journal of Experimental Medicine and Journal of Clinical Oncology.

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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