Satoshi Baba

34 papers receiving 466 citations

Peers

Satoshi Baba
Comparison fields: 5 of 81
  • Pharmacology 118
  • Fluid Flow and Transfer Processes 41
  • Biotechnology 43
  • Cell Biology 73
  • Molecular Biology 259
Replace Odonı́rio Abrahão with:
Odonı́rio Abrahão Brazil
Liang Xue United States
Muhammad Khan India
Vincent Vagenende Singapore
Marc Chambon Switzerland
Alexander I. Greenwood United States
Silvia A. Synowsky United Kingdom
Hammad A. Faizi United States
Karuppiah Chockalingam United States
Dominik Ausbacher Norway
Satoshi Baba relative to Odonı́rio Abrahão Brazil Odonı́rio Abrahão's profile →
Citations per field
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Odonı́rio Abrahão · 1×
Citations per year

Countries citing papers authored by Satoshi Baba

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Baba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Satoshi Baba, 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 Satoshi Baba Line = papers co-authored together Satoshi Baba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201774
2 200951
3 201141
4 198435
5 201529
6 201326
7 201125
8 199116
9 201216
10 201615
11 198314
12 200913
13 201712
14 200611
15 200811
16 199910
17 201810
18 20179
19 20169
20 19919

About Satoshi Baba

Satoshi Baba is a scholar working on Molecular Biology, Pharmacology, Biotechnology, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 36 papers that have together received 482 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (11 papers), Microbial Metabolism and Applications (4 papers), Fungal and yeast genetics research (4 papers), Semiconductor Quantum Structures and Devices (3 papers), Solidification and crystal growth phenomena (3 papers), Nuclear Physics and Applications (3 papers), Plant-Microbe Interactions and Immunity (3 papers) and Ion-surface interactions and analysis (3 papers). The work is most often cited by research in Pharmacology (118 citations), Fluid Flow and Transfer Processes (41 citations), Biotechnology (43 citations), Cell Biology (73 citations) and Molecular Biology (259 citations). Satoshi Baba has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Koichi Nonaka, Steven G. Van Lanen, Masanori Funabashi, Masahiko Hosobuchi, Lin Yuan, Randy Schekman, Takuya Nihira, J. T. Lindt, Amita Gorur and Samuel J. Kenny. Their work appears in journals such as IEEE Photonics Technology Letters, Journal of Nuclear Science and Technology, Journal of Biological Chemistry, ChemBioChem and Polymer Engineering and Science.

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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