Go Hatachi

1.0k citations
46 papers · 762 · h-index 16

Impact in

    • Electrospun Nanofibers in Biomedical Applications
  • Surgery top 10%
    • Tissue Engineering and Regenerative Medicine

Papers in

Go Hatachi

45 papers receiving 748 citations

Peers

Go Hatachi
Comparison fields: 5 of 72
  • Biomaterials 235
  • Surgery 370
  • Pulmonary and Respiratory Medicine 255
  • Automotive Engineering 62
  • Biomedical Engineering 192
Replace M. Adelaide Asnaghi with:
M. Adelaide Asnaghi Italy
Katsunori Takagi Japan
Saverio La Francesca United States
Caitlin A. Czajka United States
Wolfgang C. Puelacher Austria
Siba Haykal Canada
Françine Wolf Switzerland
Gerd Juchem Germany
Brooks V. Udelsman United States
Go Hatachi relative to M. Adelaide Asnaghi Italy M. Adelaide Asnaghi's profile →
Citations per field
00.5×2×3.0×
M. Adelaide Asnaghi · 1×
Citations per year

Countries citing papers authored by Go Hatachi

Since Specialization
Citations

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

Fields of papers citing papers by Go Hatachi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018114
2 201973
3 201466
4 201757
5 202042
6 201337
7 201635
8 201735
9 201630
10 201623
11 201722
12 201521
13 201519
14 201717
15 201417
16 202116
17 201614
18 201713
19 201411
20 201911

About Go Hatachi

Go Hatachi is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Biomaterials, Genetics and Emergency Medical Services, having authored 46 papers that have together received 762 indexed citations. Recurring topics across this work include Tracheal and airway disorders (9 papers), Tissue Engineering and Regenerative Medicine (9 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), Lung Cancer Diagnosis and Treatment (6 papers), Mesenchymal stem cell research (3 papers), Cancer Diagnosis and Treatment (2 papers), Mechanical Circulatory Support Devices (2 papers) and Central Venous Catheters and Hemodialysis (2 papers). The work is most often cited by research in Biomaterials (235 citations), Surgery (370 citations), Pulmonary and Respiratory Medicine (255 citations), Automotive Engineering (62 citations) and Biomedical Engineering (192 citations). Go Hatachi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tomoshi Tsuchiya, Takeshi Nagayasu, Keitaro Matsumoto, Naoya Yamasaki, Takuro Miyazaki, Ryoichiro Doi, Tomohiro Obata, Laura E. Niklason, Ryusuke Machino and Katsunori Takagi. Their work appears in journals such as Surgery Today, Frontiers in Bioengineering and Biotechnology, BioResearch open access, Journal of Clinical Biochemistry and Nutrition and Tissue and Cell.

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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