H. Akamatsu

622 citations
10 papers · 314 indexed · h-index 4
Topics
Lung Cancer Treatments and Mutations (5 papers)Cancer Cells and Metastasis (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

H. Akamatsu

9 papers receiving 305 citations

Peers

H. Akamatsu
Comparison fields: 5 of 40
  • Pulmonary and Respiratory Medicine 279
  • Oncology 211
  • Cancer Research 89
  • Molecular Biology 68
  • Surgery 19
Replace M.C. Garassino with:
M.C. Garassino Italy
JG Kuiper Netherlands
E‐E Ke China
Minal Mehta United States
Julie D. Horan United States
J.C.-H. Yang Taiwan
Pei Ni Ding Australia
Diana Gernhardt United States
J. McCoy United States
You Lu China
H. Akamatsu relative to M.C. Garassino Italy M.C. Garassino's profile →
Citations per field
00.5×1.5×
M.C. Garassino · 1×
Citations per year

Countries citing papers authored by H. Akamatsu

Since Specialization
Citations

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

Fields of papers citing papers by H. Akamatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Akamatsu

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 4
3 2
4 1
5
Osimertinib or platinum–pemetrexed in EGFR T790M–positive lung cancer
290
6 2
7 8
8 4
9
Neoadjuvant chemotherapy with tegafur suppository for rectal cancer - Effects of tegafur on nuclear DNA content of cancer cells
1
10 2

About H. Akamatsu

H. Akamatsu is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 314 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (5 papers), Cancer Cells and Metastasis (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (279 citations), Oncology (211 citations) and Cancer Research (89 citations). H. Akamatsu has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Helen Mann, F. Shepherd, Willemijn S.M.E. Theelen, Tony Mok, Serban Ghiorghiu, Marcelo Marotti, Yi‐Long Wu, M. Ahn, Sendhilnathan Ramalingam and Alison Templeton. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology and European Journal of Cancer.

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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