Haruka Maeda

644 total citations
24 papers, 375 citations indexed

About

Haruka Maeda is a scholar working on Epidemiology, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Haruka Maeda has authored 24 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Organic Chemistry and 4 papers in Molecular Biology. Recurrent topics in Haruka Maeda's work include Respiratory viral infections research (3 papers), Synthesis and characterization of novel inorganic/organometallic compounds (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). Haruka Maeda is often cited by papers focused on Respiratory viral infections research (3 papers), Synthesis and characterization of novel inorganic/organometallic compounds (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). Haruka Maeda collaborates with scholars based in Japan, China and United States. Haruka Maeda's co-authors include Hiroyuki Furuta, Akira Kuriyama, Masaharu Aga, Osamu Tochikubo, Gene Mapes, Royal H. Mapes, Rao Sun, Norimasa Shimobayashi, Konosuke Morimoto and Hiroshige MATSUOKA and has published in prestigious journals such as Scientific Reports, Food Hydrocolloids and Food and Chemical Toxicology.

In The Last Decade

Haruka Maeda

22 papers receiving 364 citations

Peers

Haruka Maeda
Comparison fields: 5 of 99
  • Cardiology and Cardiovascular Medicine 68
  • Public Health, Environmental and Occupational Health 67
  • Anesthesiology and Pain Medicine 52
  • Nutrition and Dietetics 52
  • Pulmonary and Respiratory Medicine 48
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Saralyn R. Williams United States View profile →
Citations per field, relative to Haruka Maeda
Haruka Maeda · 1×
Citations per year, relative to Haruka Maeda
Haruka Maeda · 1×

Countries citing papers authored by Haruka Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Haruka Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haruka Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Haruka Maeda. A scholar is included among the top collaborators of Haruka Maeda 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 Haruka Maeda. Haruka Maeda 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 5
2 0
3 2
4 0
5 11
6 6
7 4
8 50
9 28
10 38
11 18
12 27
13 43
14 7
15 10
16 23
17
Comparative effects of an angiotensin-converting enzyme inhibitor and an angiotensin II antagonist in Dahl rats.
9
18 1
19 1
20 13

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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