D.K. Inaoka

1.9k citations
73 papers · 1.2k indexed · h-index 20

Impact in

    • Parasitic Infections and Diagnostics
  • Epidemiology top 10%
    • Trypanosoma species research and implications

Papers in

D.K. Inaoka

71 papers receiving 1.2k citations

Peers

D.K. Inaoka
Comparison fields: 5 of 93
  • Parasitology 161
  • Epidemiology 372
  • Molecular Biology 664
  • Toxicology 32
  • Public Health, Environmental and Occupational Health 223
Replace Minu Chaudhuri with:
Minu Chaudhuri United States
Junko Nakajima‐Shimada Japan
Irene Hallyburton United Kingdom
Gillian M. Fisher Australia
Jacques Prudhomme United States
Manu De Rycker United Kingdom
Fernanda Ramos Gadelha Brazil
Ursula Eckstein‐Ludwig United Kingdom
Policarpo Ademar Sales Brazil
Danilo C. Miguel Brazil
D.K. Inaoka relative to Minu Chaudhuri United States Minu Chaudhuri's profile →
Citations per field
00.5×
Minu Chaudhuri · 1×
Citations per year

Countries citing papers authored by D.K. Inaoka

Since Specialization
Citations

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

Fields of papers citing papers by D.K. Inaoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.K. Inaoka. 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 D.K. Inaoka. The network helps show where D.K. Inaoka may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 202310
4 20234
5 20225
6 202213
7 20219
8 20217
9 202132
10 20215
11 20218
12 20215
13 202017
14 20208
15 201980
16 201932
17 201918
18 201622
19 201569
20 200844

About D.K. Inaoka

D.K. Inaoka is a scholar working on Parasitology, Physiology, Epidemiology, Molecular Biology and Toxicology, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (31 papers), Biochemical and Molecular Research (27 papers), Research on Leishmaniasis Studies (10 papers), Enzyme Structure and Function (8 papers), Parasitic Infections and Diagnostics (8 papers), Malaria Research and Control (7 papers), Adenosine and Purinergic Signaling (6 papers) and HIV/AIDS drug development and treatment (5 papers). The work is most often cited by research in Parasitology (161 citations), Epidemiology (372 citations), Molecular Biology (664 citations), Toxicology (32 citations) and Public Health, Environmental and Occupational Health (223 citations). D.K. Inaoka has collaborated with scholars based in Japan, United Kingdom and Nigeria. Frequent co-authors include Kiyoshi Kita, Shigeharu Harada, T. Shiba, E.O. Balogun, Takeshi Nara, Yasutoshi Kido, Takashi Aoki, Teruki Honma, Masayuki Inoue and Shigeru Matsuoka. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Bioenergetics, Communications Biology, International Journal of Molecular Sciences, Genes and PLoS ONE.

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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