Daisuke Mori

599 citations
24 papers · 448 · h-index 10

Impact in

Papers in

Daisuke Mori

23 papers receiving 436 citations

Peers

Daisuke Mori
Comparison fields: 5 of 81
  • Infectious Diseases 157
  • Animal Science and Zoology 83
  • Nephrology 31
  • Virology 20
  • Endocrinology 20
Replace Sébastien Eymieux with:
Sébastien Eymieux France
Renata Mažuran Croatia
Shaohui Wang United States
Luis Adrián De Jesús‐González Mexico
Ji-Seon Kang South Korea
Kuo‐Chieh Liao Singapore
Carlos Noe Farfán-Morales Mexico
Yuhong Pan China
Jutta Schröder–Braunstein Germany
Gerald A. LoGrippo United States
Daisuke Mori relative to Sébastien Eymieux France Sébastien Eymieux's profile →
Citations per field
00.5×10×20×31×
Sébastien Eymieux · 1×
Citations per year

Countries citing papers authored by Daisuke Mori

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201595
2 201264
3 201454
4 201348
5 200938
6 201323
7 202119
8 201517
9 202015
10 202011
11 202110
12 20218
13 20198
14 20058
15 19995
16 20005
17 20235
18 20174
19 20213
20 20213

About Daisuke Mori

Daisuke Mori is a scholar working on Infectious Diseases, Hepatology, Cardiology and Cardiovascular Medicine, Animal Science and Zoology and Epidemiology, having authored 24 papers that have together received 448 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (5 papers), Viral Infections and Immunology Research (4 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Mosquito-borne diseases and control (3 papers), Respiratory viral infections research (2 papers), Gastrointestinal disorders and treatments (2 papers), Virology and Viral Diseases (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Infectious Diseases (157 citations), Animal Science and Zoology (83 citations), Nephrology (31 citations), Virology (20 citations) and Endocrinology (20 citations). Daisuke Mori has collaborated with scholars based in Japan, Malaysia and United States. Frequent co-authors include Kamruddin Ahmed, Shaman Rajindrajith, Udaya K. Ranawaka, Akira Nishizono, Takashi Matsumoto, Tung Gia Phan, Eric Delwart, Filemón Bucardo, Terry Fei Fan Ng and Xutao Deng. Their work appears in journals such as Scientific Reports, Virology, The Journal of Organic Chemistry, Journal of Clinical Virology and Brain and Development.

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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