Yuka Azuma

413 total citations
15 papers, 183 citations indexed

About

Yuka Azuma is a scholar working on Surgery, Infectious Diseases and Epidemiology. According to data from OpenAlex, Yuka Azuma has authored 15 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in Yuka Azuma's work include Tuberculosis Research and Epidemiology (5 papers), Gastric Cancer Management and Outcomes (4 papers) and Mycobacterium research and diagnosis (4 papers). Yuka Azuma is often cited by papers focused on Tuberculosis Research and Epidemiology (5 papers), Gastric Cancer Management and Outcomes (4 papers) and Mycobacterium research and diagnosis (4 papers). Yuka Azuma collaborates with scholars based in Japan, Australia and United States. Yuka Azuma's co-authors include Hideo Ogata, Satoshi Mitarai, M. Kubota, Emiko Toyota, Akira Yamane, Hiroyuki Kokuto, Naohiro Nagayama, Takashi Yoshiyama, Shoji Kudoh and Ruokun Yi and has published in prestigious journals such as Digestive Diseases and Sciences, Journal of Gastroenterology and Hepatology and Journal of Crohn s and Colitis.

In The Last Decade

Yuka Azuma

14 papers receiving 182 citations

Peers

Yuka Azuma
Comparison fields: 5 of 47
  • Infectious Diseases 83
  • Epidemiology 81
  • Surgery 69
  • Biomedical Engineering 53
  • Pulmonary and Respiratory Medicine 43
Replace Lieke Brouwer with:
Lieke Brouwer Netherlands
M. Treilhaud France
Hiroyuki Kokuto Japan
Kunihiro Oba Japan
Stella Hermann Germany
Atsuya Narita Japan
Joanne Malkin United Kingdom
Séverine Sarlang United Kingdom
René Brouillet Switzerland
Peisong Xu China
Lieke Brouwer Netherlands View profile →
Citations per field, relative to Yuka Azuma
Yuka Azuma · 1×
Citations per year, relative to Yuka Azuma
Yuka Azuma · 1×

Countries citing papers authored by Yuka Azuma

Since Specialization
Citations

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

Fields of papers citing papers by Yuka Azuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuka Azuma

This figure shows the co-authorship network connecting the top 25 collaborators of Yuka Azuma. A scholar is included among the top collaborators of Yuka Azuma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuka Azuma. Yuka Azuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 5
2 4
3 10
4 8
5 3
6 1
7 33
8
[Performance of two matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) models for identification of bacteria isolated from blood culture].
1
9 0
10 101
11
[Non-tuberculous mycobacterium strains that show positive test for identification kits of M. tuberculosis complex].
4
12
[Clinical evaluation of acid-fast smear examination with light emitting diode fluorescent microscopy].
5
13 3
14
[Comparison of usefulness between variable numbers of tandem repeats (VNTR) analysis and restriction fragment length polymorphism (RFLP) in the genotyping of Mycobacterium avium].
4
15 1

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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