Jin Murata

3.4k citations
154 papers · 2.7k · h-index 28

Impact in

Papers in

    • Plant and Fungal Species Descriptions 34
    • Bioactive natural compounds 21
    • Natural product bioactivities and synthesis 13
    • Phytochemistry and Biological Activities 30

Jin Murata

151 papers receiving 2.6k citations

Peers

Jin Murata
Comparison fields: 5 of 114
  • Geriatrics and Gerontology 268
  • Ecology, Evolution, Behavior and Systematics 847
  • Plant Science 1.1k
  • Biochemistry 156
  • Toxicology 86
Replace Hirōshi Nozaki with:
Hirōshi Nozaki Japan
Dedy Darnaedi Japan
Philippe Hugueney France
Franz‐Josef Marner Germany
Otto R. Gottlieb Brazil
Kunihiko Ojima Japan
Raphaël Lugan France
Aziz Aziz France
Konstantin V. Kiselev Russia
Alain Pugin France
Jin Murata relative to Hirōshi Nozaki Japan Hirōshi Nozaki's profile →
Citations per field
00.5×7.4×
Hirōshi Nozaki · 1×
Citations per year

Countries citing papers authored by Jin Murata

Since Specialization
Citations

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

Fields of papers citing papers by Jin Murata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004149
2 200388
3 200787
4 200387
5 200484
6 200583
7 201271
8 200669
9 201064
10 200161
11 200655
12 200153
13 200351
14 200350
15 200145
16 200341
17 200840
18 199739
19 201038
20 201937

About Jin Murata

Jin Murata is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Geriatrics and Gerontology and Pharmacology, having authored 154 papers that have together received 2.7k indexed citations. Recurring topics across this work include Plant Diversity and Evolution (45 papers), Plant and Fungal Species Descriptions (34 papers), Phytochemistry and Biological Activities (30 papers), Plant and animal studies (29 papers), Bioactive natural compounds (21 papers), Sirtuins and Resveratrol in Medicine (18 papers), Natural product bioactivities and synthesis (13 papers) and Plant Taxonomy and Phylogenetics (12 papers). The work is most often cited by research in Geriatrics and Gerontology (268 citations), Ecology, Evolution, Behavior and Systematics (847 citations), Plant Science (1.1k citations), Biochemistry (156 citations) and Toxicology (86 citations). Jin Murata has collaborated with scholars based in Japan, Indonesia and United States. Frequent co-authors include Munekazu Iinuma, Dedy Darnaedi, Hiroko Murata, Tetsuro Ito, Norio Tanaka, Tadashi Kajita, Ken‐ichi Nakaya, Toŝhiyuki Tanaka, Tetsuo Ohi‐Toma and Toshiyuki Tanaka. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Journal of Plant Research, American Journal of Botany, Phytochemistry and Chemistry & Biodiversity.

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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