M. Morimoto

79 papers receiving 1.8k citations

Peers

M. Morimoto
Comparison fields: 5 of 135
  • Parasitology 248
  • Immunology 458
  • Toxicology 57
  • Small Animals 108
  • Virology 59
Replace Guohong Zhang with:
Guohong Zhang China
Célio Geraldo Freire-de-Lima Brazil
Júlio Scharfstein Brazil
Cláudia Martins Carneiro Brazil
Aftab Ahmed United States
Marcelo Dias‐Baruffi Brazil
Julian E. Beesley United Kingdom
Rossana C. N. Melo Brazil
Fiona Roberts United Kingdom
Sun Park South Korea
M. Morimoto relative to Guohong Zhang China Guohong Zhang's profile →
Citations per field
00.5×1.5×2.4×
Guohong Zhang · 1×
Citations per year

Countries citing papers authored by M. Morimoto

Since Specialization
Citations

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

Fields of papers citing papers by M. Morimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005133
2
Experimental antitumor activity of Navelbine.
1989117
3 199593
4 201091
5 198084
6 200469
7 199663
8 199263
9 199755
10
Transforming and differentiation-inducing potential of constitutively activated c-kit mutant genes in the IC-2 murine interleukin-3-dependent mast cell line.
199654
11 199048
12 200645
13
Deficient differentiation of mast cells in the skin of mi/mi mice. Usefulness of in situ hybridization for evaluation of mast cell phenotype.
199344
14 200641
15 199141
16 200440
17 199038
18
Effects of low frequency components on auditory spaciousness
198837
19 200536
20 201036

About M. Morimoto

M. Morimoto is a scholar working on Immunology, Electrical and Electronic Engineering, Molecular Biology, Infectious Diseases and Parasitology, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (16 papers), HIV/AIDS drug development and treatment (10 papers), Parasites and Host Interactions (10 papers), HIV Research and Treatment (9 papers), Advanced Optical Sensing Technologies (7 papers), Helminth infection and control (6 papers), Infrared Target Detection Methodologies (5 papers) and Image Processing Techniques and Applications (4 papers). The work is most often cited by research in Parasitology (248 citations), Immunology (458 citations), Toxicology (57 citations), Small Animals (108 citations) and Virology (59 citations). M. Morimoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Joseph F. Urban, N Ueba, Aiping Zhao, Haruyo Mori, Terez Shea‐Donohue, Kathleen B. Madden, Toru Otake, S. CROS, Matthew C. Wright and A Krikorian. Their work appears in journals such as IEEE Transactions on Electron Devices, The Journal of Immunology, Blood, Cold Spring Harbor Protocols and Journal of Medicinal Chemistry.

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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