Aki Mitsuda

514 citations
38 papers · 408 · h-index 11

Impact in

Papers in

Aki Mitsuda

34 papers receiving 396 citations

Peers

Aki Mitsuda
Comparison fields: 5 of 51
  • Immunology and Allergy 38
  • Infectious Diseases 73
  • Pulmonary and Respiratory Medicine 121
  • Oncology 92
  • Epidemiology 96
Replace Mojmír Moulis with:
Mojmír Moulis Czechia
Melinda Erdös Hungary
Bandar Al‐Saud Saudi Arabia
Pia Asschenfeldt Denmark
Charles A. Filion Canada
Hideyasu Takagi Japan
Michał Sobjanek Poland
Hari Nadiminti United States
Eduardo López‐Granados Spain
Abdulaziz Al‐Ghonaium Saudi Arabia
Aki Mitsuda relative to Mojmír Moulis Czechia Mojmír Moulis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aki Mitsuda

Since Specialization
Citations

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

Fields of papers citing papers by Aki Mitsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aki Mitsuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aki Mitsuda Line = papers co-authored together Aki Mitsuda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200571
2 200251
3 200445
4 201244
5
Increased expression of integrin beta1 is a poor prognostic factor in small-cell lung cancer.
200226
6 200222
7 200418
8 200916
9 200314
10 201213
11 202010
12 201110
13 201010
14 20199
15 20025
16 20105
17 20115
18 20014
19 20004
20 20003

About Aki Mitsuda

Aki Mitsuda is a scholar working on Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Oncology, Epidemiology and Infectious Diseases, having authored 38 papers that have together received 408 indexed citations. Recurring topics across this work include Medical Imaging and Pathology Studies (7 papers), Fungal Infections and Studies (5 papers), Tracheal and airway disorders (5 papers), Antifungal resistance and susceptibility (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Lung Cancer Research Studies (4 papers), Breast Lesions and Carcinomas (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Immunology and Allergy (38 citations), Infectious Diseases (73 citations), Pulmonary and Respiratory Medicine (121 citations), Oncology (92 citations) and Epidemiology (96 citations). Aki Mitsuda has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kazumasa Noda, Fumihiro Oshita, Yoichi Kameda, Kouzo Yamada, Haruhiro Saito, Kazutoshi Shibuya, Mizuki Ikehara, Nobuyuki Hamanaka, Kazutoshi Isobe and Hiroyuki Ito. Their work appears in journals such as Oncology Reports, Japanese Journal of Clinical Oncology, The Annals of Thoracic Surgery, Medical Mycology and BMC 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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