Shinya Kodani

1.9k citations
73 papers · 1.5k indexed · h-index 20
Topics
Microbial Natural Products and Biosynthesis (50 papers)Genomics and Phylogenetic Studies (22 papers)Marine Sponges and Natural Products (13 papers)

In The Last Decade

Shinya Kodani

72 papers receiving 1.5k citations

Peers

Shinya Kodani
Comparison fields: 5 of 94
  • Pharmacology 982
  • Molecular Biology 972
  • Biotechnology 332
  • Organic Chemistry 205
  • Plant Science 202
Replace Mercedes de la Cruz with:
Mercedes de la Cruz Spain
Keishi Ishida Germany
Christopher J. Schwalen United States
Emmanuel L. C. de los Santos United Kingdom
Xiaoying Bian China
Francisco Barona‐Gómez Mexico
Satria A. Kautsar Netherlands
Max Crüsemann Germany
Ronald Garcia Germany
Kazuya Yamanaka Japan
Shinya Kodani relative to Mercedes de la Cruz Spain Mercedes de la Cruz's profile →
Citations per field
00.5×1.5×
Mercedes de la Cruz · 1×
Citations per year

Countries citing papers authored by Shinya Kodani

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Kodani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Kodani

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Kodani. A scholar is included among the top collaborators of Shinya Kodani 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 Shinya Kodani. Shinya Kodani 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 0
2 3
3 3
4 6
5 3
6 17
7 23
8 7
9
Detecting membrane progestin receptor (mPR)-interacting compounds from coral seawater in Mauritius
1
10 12
11 1
12 21
13 23
14 49
15
Isolation and identification of berninamycin A from Streptomyces atroolivaceus
2
16
INVESTIGATION OF LOW TEMPERATURE PLASMA CAPABILITIES TO MODIFY THE STRUCTURE AND FUNCTION OF BIO-POLYMERS
2
17 24
18 77
19 225
20 11

About Shinya Kodani

Shinya Kodani is a scholar working on Pharmacology, Biotechnology and Microbiology, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (50 papers), Genomics and Phylogenetic Studies (22 papers) and Marine Sponges and Natural Products (13 papers). The work is most often cited by research in Pharmacology (982 citations), Biotechnology (332 citations) and Microbiology (102 citations). Shinya Kodani has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Joanne M. Willey, Mayumi Ohnishi‐Kameyama, Justin R. Nodwell, Marcus C. Durrant, Masahiro Murakami, Hikaru Hemmi, Keishi Ishida, Hisayuki Komaki, Michael E. Hudson and Mark J. Buttner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Applied and Environmental Microbiology.

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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