Mahoko Ikeda

841 total citations
48 papers, 422 citations indexed

About

Mahoko Ikeda is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine. According to data from OpenAlex, Mahoko Ikeda has authored 48 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Infectious Diseases, 18 papers in Epidemiology and 9 papers in Molecular Medicine. Recurrent topics in Mahoko Ikeda's work include Antibiotic Resistance in Bacteria (9 papers), Fungal Infections and Studies (8 papers) and Antifungal resistance and susceptibility (6 papers). Mahoko Ikeda is often cited by papers focused on Antibiotic Resistance in Bacteria (9 papers), Fungal Infections and Studies (8 papers) and Antifungal resistance and susceptibility (6 papers). Mahoko Ikeda collaborates with scholars based in Japan and United States. Mahoko Ikeda's co-authors include Shu Okugawa, Kyoji Moriya, Keita Tatsuno, Mitsuhiro Okazaki, Shintaro Yanagimoto, Koh Okamoto, Hiroshi Yotsuyanagi, Yuta Okada, Sohei Harada and Tatsuya Kobayashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Mahoko Ikeda

43 papers receiving 408 citations

Peers

Mahoko Ikeda
Comparison fields: 5 of 86
  • Infectious Diseases 181
  • Molecular Biology 143
  • Epidemiology 102
  • Molecular Medicine 68
  • Endocrinology 58
Replace Susana Martínez González with:
Susana Martínez González Spain
Keita Tatsuno Japan
Isabella W. Martin United States
Priyam Batra India
Patiyan Andersson Australia
Vien T. M. Le United States
Jürgen Rödel Germany
José Arellano‐Galindo Mexico
Kazutoshi Nakashima Japan
Aytekin Çıkman Türkiye
Susana Martínez González Spain View profile →
Citations per field, relative to Mahoko Ikeda
Mahoko Ikeda · 1×
Citations per year, relative to Mahoko Ikeda
Mahoko Ikeda · 1×

Countries citing papers authored by Mahoko Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Mahoko Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahoko Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Mahoko Ikeda. A scholar is included among the top collaborators of Mahoko Ikeda 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 Mahoko Ikeda. Mahoko Ikeda 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 0
2 0
3 0
4 1
5 7
6 5
7 1
8 2
9 5
10 11
11 3
12 8
13 10
14 18
15 23
16
Clinical and microbiological characteristics and occurrence of Klebsiella pneumoniae infection in Japan
2
17 10
18 9
19 2
20 17

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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