Mami Hata

2.1k citations
36 papers · 1.8k · h-index 18

Impact in

Papers in

    • Heat shock proteins research 7
    • Protein Structure and Dynamics 5
    • Peroxisome Proliferator-Activated Receptors 3
    • Respiratory viral infections research 4
    • Influenza Virus Research Studies 4

Mami Hata

36 papers receiving 1.8k citations

Peers

Mami Hata
Comparison fields: 5 of 100
  • Molecular Medicine 214
  • Aging 52
  • Endocrinology 109
  • Molecular Biology 1.1k
  • Cell Biology 258
Replace Kunitoshi Yamanaka with:
Kunitoshi Yamanaka Japan
Graham D. Pavitt United Kingdom
William Walter United States
Maria J. Ruiz‐Echevarría United States
Ilya Shamovsky United States
Mitsuko Hayashi-Nishino Japan
David M. Roberts United States
Dzwokai Ma United States
Martha J. Larsen United States
Mami Hata relative to Kunitoshi Yamanaka Japan Kunitoshi Yamanaka's profile →
Citations per field
00.5×3.1×
Kunitoshi Yamanaka · 1×
Citations per year

Countries citing papers authored by Mami Hata

Since Specialization
Citations

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

Fields of papers citing papers by Mami Hata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000278
2 2005252
3 1993199
4 2000155
5 2007153
6 2000134
7 1988120
8 199079
9 198663
10 200658
11 200936
12 201331
13 201130
14 199826
15 200725
16 201221
17 199621
18 200917
19 199715
20 200913

About Mami Hata

Mami Hata is a scholar working on Molecular Biology, Epidemiology, Physical and Theoretical Chemistry, Infectious Diseases and Surgery, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include Heat shock proteins research (7 papers), Protein Structure and Dynamics (5 papers), Respiratory viral infections research (4 papers), Influenza Virus Research Studies (4 papers), thermodynamics and calorimetric analyses (4 papers), Cholesterol and Lipid Metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Molecular Medicine (214 citations), Aging (52 citations), Endocrinology (109 citations), Molecular Biology (1.1k citations) and Cell Biology (258 citations). Mami Hata has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include K. Ohtsuka, Kenzo Ohtsuka, Kenji Sakae, Masao Takahashi, Masahiro Suzuki, Akito Kume, Masakado Matsumoto, Manabu Doyu, Yasushi Kobayashi and Mei Li. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Journal of Clinical Microbiology, Molecular Biology and Evolution, The EMBO Journal and Biochemical and Biophysical Research Communications.

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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