Hiroki Wada

1.3k citations
55 papers · 1.0k · h-index 17

Impact in

Papers in

Hiroki Wada

51 papers receiving 947 citations

Peers

Hiroki Wada
Comparison fields: 5 of 125
  • Developmental Neuroscience 80
  • Anesthesiology and Pain Medicine 72
  • Psychiatry and Mental health 115
  • Orthodontics 24
  • Nephrology 33
Replace Baisong Zhao with:
Baisong Zhao China
Chih‐Peng Lin Taiwan
Jing Yu China
Alex Romaschin Canada
David Vandroux France
Eun‐Ji Choi South Korea
Xin Wei China
Jun Hyun Kim South Korea
Shujun Li China
Fei Zeng China
Hiroki Wada relative to Baisong Zhao China Baisong Zhao's profile →
Citations per field
00.5×6.6×
Baisong Zhao · 1×
Citations per year

Countries citing papers authored by Hiroki Wada

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007153
2
Summary of thermal properties for casting alloys and mold materials
1982118
3 199893
4 201762
5 198562
6 200651
7 201045
8 201130
9 201228
10 200126
11 200122
12 201521
13 202021
14 201319
15
Leiomyosarcoma of the thyroid gland with rapid growth and tracheal obstruction: A partial thyroidectomy and tracheostomy using an ultrasonically activated scalpel can be safely performed with less bleeding.
199919
16 199619
17 201616
18 200315
19 200214
20 201513

About Hiroki Wada

Hiroki Wada is a scholar working on Biomedical Engineering, Organic Chemistry, Molecular Biology, Surgery and Oncology, having authored 55 papers that have together received 1.0k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Anesthesia and Sedative Agents (3 papers), Synthetic Organic Chemistry Methods (3 papers), 3D Printing in Biomedical Research (3 papers), Chemical Synthesis and Characterization (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Developmental Neuroscience (80 citations), Anesthesiology and Pain Medicine (72 citations), Psychiatry and Mental health (115 citations), Orthodontics (24 citations) and Nephrology (33 citations). Hiroki Wada has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Hideyuki Higuchi, Robert D. Pehlke, Tetsuo Satoh, Masuyuki Kanno, Tetsuya Takahashi, Nobuaki Kawarabayashi, Shuhji Seki, Tomiei Kazama, Yoshiko Habu and Kazumitsu Ueda. Their work appears in journals such as Journal of Medicinal Chemistry, Anesthesiology, Anesthesia & Analgesia, Tetrahedron and Journal of Cell Science.

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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