Emi Inada

1.5k citations
76 papers · 1.1k · h-index 17

Impact in

Papers in

    • Pluripotent Stem Cells Research 19
    • CRISPR and Genetic Engineering 17
    • RNA Interference and Gene Delivery 5
    • Animal Genetics and Reproduction 9
    • Mesenchymal stem cell research 5

Emi Inada

72 papers receiving 1.0k citations

Peers

Emi Inada
Comparison fields: 5 of 100
  • Complementary and Manual Therapy 91
  • Orthodontics 131
  • Physiology 331
  • Periodontics 52
  • General Dentistry 16
Replace Wayne Sampson with:
Wayne Sampson Australia
M Baldoni Italy
Israel Blumenfeld Israel
Chester S. Handelman United States
Gakuji Ito Japan
Reginald W. Taylor United States
Robin Seeberger Germany
Nardy Casap Israel
Heidrun Kjellberg Sweden
Kiyofumi Furusawa Japan
Emi Inada relative to Wayne Sampson Australia Wayne Sampson's profile →
Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Emi Inada

Since Specialization
Citations

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

Fields of papers citing papers by Emi Inada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013137
2 201461
3 201261
4 201455
5 201548
6 201147
7 201447
8 201743
9 201726
10 201023
11 201621
12 202020
13 201420
14 201819
15 202218
16 201718
17 201717
18 201516
19
Pluripotent, erythrocytic and granulocytic hemopoietic precursors in chronic granulocytic leukemia.
198116
20 201915

About Emi Inada

Emi Inada is a scholar working on Molecular Biology, Genetics, Orthodontics, Physiology and Surgery, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (19 papers), CRISPR and Genetic Engineering (17 papers), Orthodontics and Dentofacial Orthopedics (12 papers), Temporomandibular Joint Disorders (11 papers), Animal Genetics and Reproduction (9 papers), Obstructive Sleep Apnea Research (8 papers), RNA Interference and Gene Delivery (5 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Complementary and Manual Therapy (91 citations), Orthodontics (131 citations), Physiology (331 citations), Periodontics (52 citations) and General Dentistry (16 citations). Emi Inada has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Issei Saitoh, Youichi Yamasaki, Tomonori Iwasaki, Yoshihiko Takemoto, Haruaki Hayasaki, Ryuzo Kanomi, Masahiro Sato, Yoko Iwase, Shingo Nakamura and Hideo Sato. Their work appears in journals such as CRANIO®, Archives of Oral Biology, International Journal of Molecular Sciences, American Journal of Orthodontics and Dentofacial Orthopedics and Pharmaceutics.

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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