Eiji Iwama

2.8k total citations · 2 hit papers
70 papers, 1.9k citations indexed

About

Eiji Iwama is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Eiji Iwama has authored 70 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Pulmonary and Respiratory Medicine, 42 papers in Oncology and 16 papers in Molecular Biology. Recurrent topics in Eiji Iwama's work include Lung Cancer Treatments and Mutations (46 papers), Lung Cancer Research Studies (17 papers) and Cancer Immunotherapy and Biomarkers (14 papers). Eiji Iwama is often cited by papers focused on Lung Cancer Treatments and Mutations (46 papers), Lung Cancer Research Studies (17 papers) and Cancer Immunotherapy and Biomarkers (14 papers). Eiji Iwama collaborates with scholars based in Japan, United States and China. Eiji Iwama's co-authors include Yoichi Nakanishi, Isamu Okamoto, Keiichi Ota, Koichi Takayama, Koichi Azuma, Taishi Harada, Koichiro Matsumoto, Tomoaki Hoshino, Satoshi Hattori and Shinzo Takamori and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Scientific Reports.

In The Last Decade

Eiji Iwama

66 papers receiving 1.9k citations

Hit Papers

Association of PD-L1 overexpression with activating EGFR ... 2014 2026 2018 2022 2014 2015 100 200 300 400 500

Peers

Eiji Iwama
Comparison fields: 5 of 79
  • Oncology 1.5k
  • Pulmonary and Respiratory Medicine 1.2k
  • Molecular Biology 401
  • Cancer Research 348
  • Immunology 307
M. Ratcliffe United Kingdom
Paula I. González-Ericsson United States
Haoquan Zhao United States
Martín A. Rivas Argentina
Pamela Villalobos United States
Roxanne Toivanen Australia
Reika Iwakawa Japan
Jia Zhong China
Colin R. Lindsay United Kingdom
Yoshio Tomizawa Japan
M. Ratcliffe United Kingdom View profile →
Citations per field, relative to Eiji Iwama
Eiji Iwama · 1×
Citations per year, relative to Eiji Iwama
Eiji Iwama · 1×

Countries citing papers authored by Eiji Iwama

Since Specialization
Citations

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

Fields of papers citing papers by Eiji Iwama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiji Iwama

This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Iwama. A scholar is included among the top collaborators of Eiji Iwama 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 Eiji Iwama. Eiji Iwama 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 0
3 0
4 13
5 1
6 4
7 8
8 4
9 0
10 5
11 5
12 4
13 22
14 2
15 10
16 11
17
Induction of PD-L1 Expression by the EML4–ALK Oncoprotein and Downstream Signaling Pathways in Non–Small Cell Lung Cancer breakdown →
366
18 32
19 9
20 43

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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