Mitsue Notake

2.0k citations
21 papers · 1.6k indexed · h-index 12

Impact in

Papers in

Mitsue Notake

21 papers receiving 1.5k citations

Peers

Mitsue Notake
Comparison fields: 5 of 96
  • Behavioral Neuroscience 318
  • Immunology 429
  • Immunology and Allergy 117
  • Endocrine and Autonomic Systems 111
  • Biological Psychiatry 39
Replace B H Toh with:
B H Toh Australia
Olivier Kassel Germany
G. Forsberg Sweden
K J Collier United States
Aliesha González‐Arenas Mexico
Patrice Hugo Canada
Ursula Malipiero Switzerland
Gino Doria Italy
Genevieve Stapleton United Kingdom
Robert P. Searles United States
Mitsue Notake relative to B H Toh Australia B H Toh's profile →
Citations per field
00.5×3.9×
B H Toh · 1×
Citations per year

Countries citing papers authored by Mitsue Notake

Since Specialization
Citations

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

Fields of papers citing papers by Mitsue Notake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20058
2 20059
3 200411
4 20041
5 20024
6 2000104
7 19943
8 1989227
9 1986150
10 19864
11 198543
12 1985198
13
Efficient production of a human tumour necrosis factor in Escherichia coli.
19853
14 198447
15 1983335
16 198311
17 198387
18 1982168
19 198277
20 198059

About Mitsue Notake

Mitsue Notake is a scholar working on Immunology and Allergy, Immunology, Behavioral Neuroscience, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Signaling Pathways in Disease (4 papers), Receptor Mechanisms and Signaling (4 papers), Cell Adhesion Molecules Research (4 papers), RNA and protein synthesis mechanisms (3 papers), Virus-based gene therapy research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Behavioral Neuroscience (318 citations), Immunology (429 citations), Immunology and Allergy (117 citations), Endocrine and Autonomic Systems (111 citations) and Biological Psychiatry (39 citations). Mitsue Notake has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Yasuji Furutani, Shosaku Numa, Masaaki Yamada, Toshikazu Fukui, Hideki Nomura, Shigetada Nakanishi, Shinichi Nakamura, Mayumi Ohue, Saburo Horikawa and Shinichi Shimizu. Their work appears in journals such as Nucleic Acids Research, European Journal of Biochemistry, The EMBO Journal, Nature and Journal of the American Society of Nephrology.

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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