Makoto Onodera

1.1k citations
69 papers · 759 indexed · h-index 17
Topics
Antibiotic Resistance in Bacteria (9 papers)Computational Geometry and Mesh Generation (7 papers)Heme Oxygenase-1 and Carbon Monoxide (5 papers)
Journals
SHILAP Revista de lepidopterologíaThe Journal of ImmunologyPLoS ONE

In The Last Decade

Makoto Onodera

57 papers receiving 739 citations

Peers

Makoto Onodera
Comparison fields: 5 of 104
  • Molecular Medicine 203
  • Molecular Biology 193
  • Endocrinology 104
  • Physiology 94
  • Cardiology and Cardiovascular Medicine 81
Replace Chunhong Shao with:
Chunhong Shao China
Michael Anstead United States
Alireza Zamani Iran
M G Täuber Switzerland
Giuseppe Pontrelli Italy
Yi-Ching Chen Taiwan
Akihiro Ito Japan
Kiyoyasu Kurahashi Japan
Prithvi Raj United States
Makoto Onodera relative to Chunhong Shao China Chunhong Shao's profile →
Citations per field
00.5×1.5×2.3×
Chunhong Shao · 1×
Citations per year

Countries citing papers authored by Makoto Onodera

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Onodera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Onodera

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Onodera. A scholar is included among the top collaborators of Makoto Onodera 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 Onodera. Makoto Onodera 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 13
3 27
4 16
5 7
6 3
7 6
8 30
9 0
10
[Clinical toxicology of mushroom poisoning. Amanita virosa].
0
11 19
12 17
13 5
14 39
15 1
16 22
17 1
18 44
19 61
20 13

About Makoto Onodera

Makoto Onodera is a scholar working on Computer Graphics and Computer-Aided Design, Applied Microbiology and Biotechnology and Molecular Medicine, having authored 69 papers that have together received 759 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (9 papers), Computational Geometry and Mesh Generation (7 papers) and Heme Oxygenase-1 and Carbon Monoxide (5 papers). The work is most often cited by research in Molecular Medicine (203 citations), Endocrinology (104 citations) and Applied Microbiology and Biotechnology (38 citations). Makoto Onodera has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Tomoyuki Kuwaki, Mamoru Kumada, Yoshihiro Inoué, Motoyuki Sugai, Yoshiaki Masuda, Yuji Fujita, Hisashi Arase, Takashi Saito, Hiroki Ohge and Seiya Kashiyama. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

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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