Tomonao Aikawa

2.0k total citations
102 papers, 1.5k citations indexed

About

Tomonao Aikawa is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Tomonao Aikawa has authored 102 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 29 papers in Molecular Biology and 22 papers in Surgery. Recurrent topics in Tomonao Aikawa's work include Craniofacial Disorders and Treatments (18 papers), Cleft Lip and Palate Research (17 papers) and Oral and Maxillofacial Pathology (14 papers). Tomonao Aikawa is often cited by papers focused on Craniofacial Disorders and Treatments (18 papers), Cleft Lip and Palate Research (17 papers) and Oral and Maxillofacial Pathology (14 papers). Tomonao Aikawa collaborates with scholars based in Japan, United States and France. Tomonao Aikawa's co-authors include Mikihiko Kogo, Masaya Okura, Seiji Iida, Kaechoong Lee, Tokuzo Matsuya, Gino V. Segre, Takashi Nakamura, Akira Yamaguchi, Sumihare Noji and Yoshinobu Higuchi and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Cancer.

In The Last Decade

Tomonao Aikawa

93 papers receiving 1.5k citations

Peers

Tomonao Aikawa
Comparison fields: 5 of 97
  • Molecular Biology 758
  • Surgery 320
  • Oncology 287
  • Genetics 264
  • Oral Surgery 234
Replace Hongzhang Huang with:
Hongzhang Huang China
Gen-iku KOHAMA Japan
Narikazu Uzawa Japan
Lyon L. Gleich United States
Shuichi Kawashiri Japan
Kenji Okami Japan
Dongmiao Wang China
Ben‐Zion Joshua Israel
Satoshi Kano Japan
Ieyoshi Kobayashi Japan
Hongzhang Huang China View profile →
Citations per field, relative to Tomonao Aikawa
Tomonao Aikawa · 1×
Citations per year, relative to Tomonao Aikawa
Tomonao Aikawa · 1×

Countries citing papers authored by Tomonao Aikawa

Since Specialization
Citations

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

Fields of papers citing papers by Tomonao Aikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomonao Aikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Tomonao Aikawa. A scholar is included among the top collaborators of Tomonao Aikawa 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 Tomonao Aikawa. Tomonao Aikawa 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 0
2 0
3 2
4 0
5 1
6 1
7 2
8 7
9 16
10 52
11 7
12 1
13 0
14 82
15 12
16 13
17 2
18 13
19 7
20
Detection of circulating immune complexes by using human red blood cells.
15

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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