Akio Maeda

603 total citations
25 papers, 417 citations indexed

About

Akio Maeda is a scholar working on Microbiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Akio Maeda has authored 25 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Microbiology, 6 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Akio Maeda's work include Actinomycetales infections and treatment (8 papers), Infectious Diseases and Mycology (5 papers) and Mycobacterium research and diagnosis (4 papers). Akio Maeda is often cited by papers focused on Actinomycetales infections and treatment (8 papers), Infectious Diseases and Mycology (5 papers) and Mycobacterium research and diagnosis (4 papers). Akio Maeda collaborates with scholars based in Japan, United Kingdom and United States. Akio Maeda's co-authors include Haruo Tsuji, Naoko Morisaki, Hisao Matsui, Katsukiyo Yazawa, Yuzuru Mikami, Yuchi Naruse, Yoshinori Mikami, Kazunaga Yazawa, Shigeo Iwasaki and Mitsutaro Akao and has published in prestigious journals such as Blood, Spine and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Akio Maeda

24 papers receiving 407 citations

Peers

Akio Maeda
Comparison fields: 5 of 81
  • Pharmacology 142
  • Molecular Biology 126
  • Epidemiology 76
  • Infectious Diseases 60
  • Molecular Medicine 57
Replace J. Terrell Hoffeld with:
J. Terrell Hoffeld United States
Alfredo Corona‐Rivera Mexico
Susannah M. Walpole United Kingdom
Cynthia L. Courtney United States
Fernando Alberto Brazil
Patrick R. Gonzales United States
L Nall United States
Neelam Gulati India
Kazuhito Asano Japan
H Merz Germany
J. Terrell Hoffeld United States View profile →
Citations per field, relative to Akio Maeda
Akio Maeda · 1×
Citations per year, relative to Akio Maeda
Akio Maeda · 1×

Countries citing papers authored by Akio Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Akio Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Akio Maeda. A scholar is included among the top collaborators of Akio 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 Akio Maeda. Akio 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 0
2 5
3 3
4 7
5 8
6
[Central nervous system relapse with multiple brain masses in an acute promyelocytic leukemia patient treated with all-trans retinoic acid].
3
7 77
8 22
9 8
10 39
11 5
12 5
13 8
14 15
15 11
16 7
17 8
18 16
19 26
20 16

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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