Daizo Murakami

40 papers receiving 1.0k citations

Peers

Daizo Murakami
Comparison fields: 5 of 91
  • Otorhinolaryngology 143
  • Immunology and Allergy 196
  • Cell Biology 266
  • Cancer Research 123
  • Oncology 213
Replace Pamela J. Garl with:
Pamela J. Garl United States
Caroline Geisen Germany
Levent Beder Japan
D.S. Dimitrov United States
Elizabeth Maynard United States
Miki Hashimura Japan
Bernd Algermissen Germany
Revati J. Tatake United States
Tatsuro Fukuhara Japan
James K. Schwarz United States
Daizo Murakami relative to Pamela J. Garl United States Pamela J. Garl's profile →
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Pamela J. Garl · 1×
Citations per year

Countries citing papers authored by Daizo Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Daizo Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001298
2 2004236
3 2007133
4 2003120
5 200061
6 199025
7 202020
8 201517
9 202017
10 198211
11 200710
12 20199
13 20219
14 20168
15 19937
16
A case of minocycline-induced black thyroid associated with papillary carcinoma.
20166
17 20195
18 20225
19 20224
20 19874

About Daizo Murakami

Daizo Murakami is a scholar working on Otorhinolaryngology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Physiology, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (14 papers), Voice and Speech Disorders (5 papers), Cell Adhesion Molecules Research (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Reproductive Physiology in Livestock (4 papers), Animal health and immunology (3 papers), Thyroid and Parathyroid Surgery (3 papers) and Salivary Gland Tumors Diagnosis and Treatment (3 papers). The work is most often cited by research in Otorhinolaryngology (143 citations), Immunology and Allergy (196 citations), Cell Biology (266 citations), Cancer Research (123 citations) and Oncology (213 citations). Daizo Murakami has collaborated with scholars based in Japan, Belgium and United States. Frequent co-authors include Hideyuki Saya, Yoshiaki Kawano, Isamu Okamoto, Takeshi Iwatsubo, Bart De Strooper, Osamu Nagano, Albert J. Wong, Norie Araki, Toru Miki and Takashi Sasayama. Their work appears in journals such as Radiation Oncology, International Journal of Radiation Oncology*Biology*Physics, Anticancer Research, International Journal of Clinical Oncology and The Journal of Cell Biology.

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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