TSUTOMU MIMURA

73 papers receiving 1.1k citations

Peers

TSUTOMU MIMURA
Comparison fields: 5 of 97
  • Reproductive Medicine 277
  • Nutrition and Dietetics 190
  • Biotechnology 81
  • Insect Science 114
  • Aquatic Science 63
Replace Young C. Lin with:
Young C. Lin United States
Yuling Mi China
Marco Balestrieri Italy
Caiqiao Zhang China
J. Conchie United Kingdom
Mirtha M. Flawiá Argentina
Yukito Masamune Japan
Hideki Tatemoto Japan
Shi‐Xiong Tan Australia
Makoto Mori Japan
TSUTOMU MIMURA relative to Young C. Lin United States Young C. Lin's profile →
Citations per field
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Young C. Lin · 1×
Citations per year

Countries citing papers authored by TSUTOMU MIMURA

Since Specialization
Citations

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

Fields of papers citing papers by TSUTOMU MIMURA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988140
2 1991102
3 198788
4 199072
5 198765
6 198857
7 196853
8
Induction and subcellular localization of metallothionein in regenerating rat liver.
199453
9 198939
10 199127
11 198626
12 199725
13 199223
14 198423
15 199222
16 199521
17 198620
18 198819
19 198719
20 199216

About TSUTOMU MIMURA

TSUTOMU MIMURA is a scholar working on Molecular Biology, Organic Chemistry, Reproductive Medicine, Nutrition and Dietetics and Immunology, having authored 82 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sperm and Testicular Function (12 papers), Reproductive Biology and Fertility (9 papers), Glycosylation and Glycoproteins Research (8 papers), Protein Hydrolysis and Bioactive Peptides (7 papers), Helicobacter pylori-related gastroenterology studies (6 papers), Chemical Synthesis and Analysis (5 papers), Carbohydrate Chemistry and Synthesis (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Reproductive Medicine (277 citations), Nutrition and Dietetics (190 citations), Biotechnology (81 citations), Insect Science (114 citations) and Aquatic Science (63 citations). TSUTOMU MIMURA has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Yasuhiro Kohama, Masaru Okabe, Shigeru Matsumoto, Kazutake Tsujikawa, Hiroaki Oka, Sumio Matzno, Tetsuyuki Teramoto, Susumu Itoh, Morio Nagira and SHIGERU AONUMA. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Biological and Pharmaceutical Bulletin, Journal of Reproductive Immunology, Biochemical and Biophysical Research Communications and Cellular and Molecular Life Sciences.

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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