Norio Yamada

3.1k total citations
59 papers, 2.2k citations indexed

About

Norio Yamada is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Norio Yamada has authored 59 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Infectious Diseases, 29 papers in Epidemiology and 15 papers in Surgery. Recurrent topics in Norio Yamada's work include Tuberculosis Research and Epidemiology (30 papers), Mycobacterium research and diagnosis (16 papers) and Pneumocystis jirovecii pneumonia detection and treatment (14 papers). Norio Yamada is often cited by papers focused on Tuberculosis Research and Epidemiology (30 papers), Mycobacterium research and diagnosis (16 papers) and Pneumocystis jirovecii pneumonia detection and treatment (14 papers). Norio Yamada collaborates with scholars based in Japan, Thailand and United States. Norio Yamada's co-authors include Toshio Miyata, Taroh Kinoshita, Junji Takeda, Kenji Maeda, Yoshiyasu Iida, Teruo Kitani, Minoru Takahashi, Norimitsu Inoue, Monica Bessler and Peter Hillmen and has published in prestigious journals such as Science, New England Journal of Medicine and Journal of Clinical Investigation.

In The Last Decade

Norio Yamada

57 papers receiving 2.1k citations

Peers

Norio Yamada
Comparison fields: 5 of 127
  • Immunology 863
  • Epidemiology 737
  • Infectious Diseases 660
  • Nephrology 417
  • Molecular Biology 370
Replace Michel Goldman with:
Michel Goldman Belgium
Kousaku Matsubara Japan
G Lundgren Sweden
Robert W. Novak United States
U. Jehn Germany
Ping An United States
Karen Nelson United States
Joost Frenkel Netherlands
Yasushi Iwao Japan
Yoshitaka Kinouchi Japan
Michel Goldman Belgium View profile →
Citations per field, relative to Norio Yamada
Norio Yamada · 1×
Citations per year, relative to Norio Yamada
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Countries citing papers authored by Norio Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Norio Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norio Yamada

This figure shows the co-authorship network connecting the top 25 collaborators of Norio Yamada. A scholar is included among the top collaborators of Norio Yamada 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 Norio Yamada. Norio Yamada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 2
3 33
4 18
5 32
6 12
7 8
8 11
9
The design effect and cluster samples: optimising tuberculosis prevalence surveys.
8
10 40
11 13
12 2
13 2
14 5
15 1
16 193
17 348
18
Design Verification of Sequential Control Circuits Based on Theorem-Proving Method
0
19 5
20
Peripheral nerve function in patients with long-term anticonvulsant therapy
9

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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