Kazuhiro Uchimura

1.1k citations
73 papers · 776 · h-index 13

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 66
    • Mycobacterium research and diagnosis 27
    • Pneumocystis jirovecii pneumonia detection and treatment 23
    • Pneumonia and Respiratory Infections 9
    • Chronic Disease Management Strategies 3

Kazuhiro Uchimura

68 papers receiving 753 citations

Peers

Kazuhiro Uchimura
Comparison fields: 5 of 85
  • Infectious Diseases 588
  • Small Animals 139
  • Epidemiology 603
  • Microbiology 9
  • Surgery 228
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Citations per year

Countries citing papers authored by Kazuhiro Uchimura

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhiro Uchimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014141
2 2016104
3 201862
4
Waning of the specific interferon-gamma response after years of tuberculosis infection.
200762
5
Current epidemiological trend of tuberculosis in Japan.
200242
6
Use of the QuantiFERON-TB Gold test for screening tuberculosis contacts and predicting active disease.
201037
7 201525
8 201320
9
Trends of delays in tuberculosis case finding in Japan and associated factors.
200518
10 201716
11 202116
12 201614
13 201913
14 201810
15 20209
16 20179
17 20098
18 20158
19 20157
20 20207

About Kazuhiro Uchimura

Kazuhiro Uchimura is a scholar working on Infectious Diseases, Epidemiology, Surgery, Small Animals and Emergency Medicine, having authored 73 papers that have together received 776 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (66 papers), Mycobacterium research and diagnosis (27 papers), Pneumocystis jirovecii pneumonia detection and treatment (23 papers), Diagnosis and treatment of tuberculosis (19 papers), Infectious Diseases and Tuberculosis (18 papers), Pneumonia and Respiratory Infections (9 papers), Infectious Diseases and Mycology (5 papers) and Chronic Disease Management Strategies (3 papers). The work is most often cited by research in Infectious Diseases (588 citations), Small Animals (139 citations), Epidemiology (603 citations), Microbiology (9 citations) and Surgery (228 citations). Kazuhiro Uchimura has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Takashi Yoshiyama, Lisa Kawatsu, Kozo Morimoto, Akihiro Ohkado, Kiyohiko Izumi, Atsuyuki Kurashima, Satoshi Mitarai, Naoki Hasegawa, Kazue Higuchi and Yukie Sekiya. Their work appears in journals such as The International Journal of Tuberculosis and Lung Disease, Western Pacific surveillance response journal, PLoS ONE, Annals of the American Thoracic Society and BMC Infectious Diseases.

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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