Kai Inoue

429 citations
18 papers · 358 · h-index 11

Impact in

    • Bartonella species infections research
    • Vector-borne infectious diseases
  • Virology top 5%
    • Rabies epidemiology and control

Papers in

Kai Inoue

18 papers receiving 358 citations

Peers

Kai Inoue
Comparison fields: 5 of 26
  • Parasitology 333
  • Virology 80
  • Infectious Diseases 266
  • Public Health, Environmental and Occupational Health 68
  • Genetics 37
Replace Corinne Bouillin with:
Corinne Bouillin France
Coral García-Esteban Spain
Christelle Gandoin France
Tahereh Mikaeili Galeh Iran
Natalie A. Cherry United States
Harold Salant Israel
Manuela Rodrigues Portugal
Ignacio Vado-Solís Mexico
Leah Colton United States
R. G. Murphy United Kingdom
Kai Inoue relative to Corinne Bouillin France Corinne Bouillin's profile →
Citations per field
00.5×3.7×
Corinne Bouillin · 1×
Citations per year

Countries citing papers authored by Kai Inoue

Since Specialization
Citations

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

Fields of papers citing papers by Kai Inoue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200869
2 200954
3 201034
4 200932
5 200932
6 200930
7 201227
8 201020
9 201015
10 201114
11 201513
12 20149
13 20173
14
The effects of water stress on the growth, sugar and nitrogen content of cherry tomato [Lycopersicon esculentum] fruit
19982
15 20231
16 20091
17 20241
18 20211

About Kai Inoue

Kai Inoue is a scholar working on Parasitology, Infectious Diseases, Public Health, Environmental and Occupational Health, Virology and Plant Science, having authored 18 papers that have together received 358 indexed citations. Recurring topics across this work include Bartonella species infections research (11 papers), Vector-borne infectious diseases (10 papers), Viral Infections and Vectors (8 papers), Rabies epidemiology and control (3 papers), Streptococcal Infections and Treatments (3 papers), Long-Term Effects of COVID-19 (1 paper), Yersinia bacterium, plague, ectoparasites research (1 paper) and Advanced Fiber Laser Technologies (1 paper). The work is most often cited by research in Parasitology (333 citations), Virology (80 citations), Infectious Diseases (266 citations), Public Health, Environmental and Occupational Health (68 citations) and Genetics (37 citations). Kai Inoue has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Soichi Maruyama, Hidenori Kabeya, Yumi Une, Yasuhiro Yoshikawa, Michael Kosoy, Ying Bai, Hiromi Fujita, Nobuhiro Takada, R. Jory Brinkerhoff and Hiroki Kawabata. Their work appears in journals such as Microbial Ecology, Journal of Wildlife Diseases, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Epidemiology and Infection and Applied Physics Letters.

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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