Tomoko Kodama

821 total citations
63 papers, 602 citations indexed

About

Tomoko Kodama is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Tomoko Kodama has authored 63 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Cardiology and Cardiovascular Medicine and 13 papers in Physiology. Recurrent topics in Tomoko Kodama's work include Global Health Workforce Issues (11 papers), Nitric Oxide and Endothelin Effects (8 papers) and Healthcare Policy and Management (8 papers). Tomoko Kodama is often cited by papers focused on Global Health Workforce Issues (11 papers), Nitric Oxide and Endothelin Effects (8 papers) and Healthcare Policy and Management (8 papers). Tomoko Kodama collaborates with scholars based in Japan, Zimbabwe and United States. Tomoko Kodama's co-authors include Hideyuki Yamawaki, Muneyoshi Okada, Hideo Yasunaga, Soichi Koike, Tomoaki Imamura, Hiroo Ide, Shinya Matsumoto, Hiroko Miura, Tadashi Kometani and Shigeki Kawabata and has published in prestigious journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences and British Journal of Pharmacology.

In The Last Decade

Tomoko Kodama

59 papers receiving 583 citations

Peers

Tomoko Kodama
Comparison fields: 5 of 112
  • Molecular Biology 153
  • Epidemiology 116
  • General Health Professions 100
  • Emergency Medical Services 94
  • Public Health, Environmental and Occupational Health 85
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Citations per field, relative to Tomoko Kodama
Tomoko Kodama · 1×
Citations per year, relative to Tomoko Kodama
Tomoko Kodama · 1×

Countries citing papers authored by Tomoko Kodama

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Kodama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Kodama

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Kodama. A scholar is included among the top collaborators of Tomoko Kodama 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 Tomoko Kodama. Tomoko Kodama 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 1
2 0
3 4
4 6
5 3
6 1
7 4
8 1
9 45
10
Community-involved strategy to improve tuberculosis (TB) treatment outcomes in Eastern Region of Ghana
3
11 7
12
Global movement for diagnosis and treatment of rare / intractable diseases
5
13 18
14 6
15 24
16 3
17
日本の神戸市での2009年5~6月のインフルエンザA型(H1N1)Vの集団発生時の家庭内接触者における2次発症率の評価と抗ウイルス薬予防投与の有効性
8
18 0
19
Tabular editors for Geant4: Geant4 geometry editor and Geant4 physics editor
2
20
Metabolic fate of TE-031 (A-56268). (VIII). Absorption and excretion in humans (bioassay)
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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