M. Maki

2.4k citations
37 papers · 2.1k · h-index 20

Impact in

Papers in

    • Calpain Protease Function and Regulation 22
    • Endoplasmic Reticulum Stress and Disease 3
    • RNA regulation and disease 6

M. Maki

37 papers receiving 2.1k citations

Peers

M. Maki
Comparison fields: 5 of 97
  • Cell Biology 838
  • Agronomy and Crop Science 324
  • Immunology 595
  • Virology 109
  • Molecular Biology 1.2k
Replace Kathryn Radke with:
Kathryn Radke United States
Jorge L. Martínez‐Torrecuadrada Spain
Martin Vey Germany
Pierre Jalinot France
Isabelle Blanc France
Evgeny V. Pilipenko Russia
Alfredo Castelló United Kingdom
Maureen A. Powers United States
Yakov Gluzman United States
Elias Coutavas United States
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Citations per field
00.5×6.3×
Kathryn Radke · 1×
Citations per year

Countries citing papers authored by M. Maki

Since Specialization
Citations

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

Fields of papers citing papers by M. Maki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990383
2 1996243
3 1996233
4 1994192
5 1990139
6 1989127
7 199290
8 200064
9 198864
10 200262
11 200055
12 199455
13 199853
14 199451
15 199933
16 199231
17
Calpastatins: biochemical and molecular biological studies.
199129
18 199525
19 199123
20 200119

About M. Maki

M. Maki is a scholar working on Cell Biology, Molecular Biology, Immunology, Physiology and Genetics, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Calpain Protease Function and Regulation (22 papers), RNA regulation and disease (6 papers), T-cell and Retrovirus Studies (5 papers), Venomous Animal Envenomation and Studies (5 papers), Erythrocyte Function and Pathophysiology (4 papers), Animal Disease Management and Epidemiology (4 papers), HIV Research and Treatment (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Cell Biology (838 citations), Agronomy and Crop Science (324 citations), Immunology (595 citations), Virology (109 citations) and Molecular Biology (1.2k citations). M. Maki has collaborated with scholars based in Japan and United States. Frequent co-authors include Masakazu Hatanaka, Tetsuya Nosaka, Emiko Takano, Chiaki Takahashi, Makoto Hatanaka, Atsushi Tanaka, Shoji Yamaoka, T Murachi, Shigeki Miyamoto and Inder M. Verma. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Biochemistry, Journal of Virology, Proceedings of the National Academy of Sciences and Biological Chemistry.

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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