T. Hata

2.6k citations
132 papers · 2.0k indexed · h-index 24

T. Hata

124 papers receiving 1.9k citations

Peers

T. Hata
Comparison fields: 5 of 109
  • Toxicology 242
  • Pharmacology 670
  • Organic Chemistry 709
  • Microbiology 16
  • Biotechnology 140
Replace Michael Kurz with:
Michael Kurz Germany
Herbert Kogler Germany
Osamu Hara Japan
MAKI NISHIO Japan
Marshall M. Siegel United States
Naoki Saito Japan
Alan J. Wonacott United Kingdom
Frank J. Wolf United States
D. M. Brown United Kingdom
Georges Dive Belgium
T. Hata relative to Michael Kurz Germany Michael Kurz's profile →
Citations per field
00.5×5.6×
Michael Kurz · 1×
Citations per year

Countries citing papers authored by T. Hata

Since Specialization
Citations

This map shows the geographic impact of T. Hata'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 T. Hata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Hata more than expected).

Fields of papers citing papers by T. Hata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20181
2 200863
3 20072
4 200611
5 200527
6 199834
7 19944
8 19944
9 19918
10 19847
11 198322
12 197415
13
A New Proteolytic Enzyme Having Milk Clotting Activity from Streptomyces sp. No. OS-1000
19730
14 197251
15
The Determination of Glycerol in the Broth of an Antibiotic-Producing Fermentation Culture of Streptomyces sp.
19714
16 1970101
17
I-2743-C new antimycin-analogue from a Kitasatoa Sp. nov.
19700
18 196423
19
Studies on a chartreusin-like antibiotic produced from Streptomyces No. G-261.
19641
20
STUDIES ON CERULENIN. I. STUDIES ON CERULENIN PRODUCING STRAIN.
196315

About T. Hata

T. Hata is a scholar working on Microbiology, Toxicology, Pharmacology, Applied Microbiology and Biotechnology and Atomic and Molecular Physics, and Optics, having authored 132 papers that have together received 2.0k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (48 papers), Quantum, superfluid, helium dynamics (41 papers), Cold Atom Physics and Bose-Einstein Condensates (20 papers), Atomic and Subatomic Physics Research (19 papers), Bioactive Compounds and Antitumor Agents (13 papers), Synthesis and Biological Activity (13 papers), High-pressure geophysics and materials (11 papers) and Chemical Synthesis and Analysis (10 papers). The work is most often cited by research in Toxicology (242 citations), Pharmacology (670 citations), Organic Chemistry (709 citations), Microbiology (16 citations) and Biotechnology (140 citations). T. Hata has collaborated with scholars based in Japan, Netherlands and United States. Frequent co-authors include Satoshi Ōmura, Akira Nakagawa, A Matsumae, Setsuzō Nomura, MICHIKO KATAGIRI, Osamu Ishikawa, H. Yano, Akio Furusaki, K. Obara and Tokunosuké Watanabé. Their work appears in journals such as The Journal of Antibiotics, Chemical and Pharmaceutical Bulletin, Journal of Low Temperature Physics, Physica B Condensed Matter and Physical Review Letters.

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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