Muneo Takaoki

520 citations
36 papers · 408 indexed · h-index 12
Topics
T-cell and B-cell Immunology (9 papers)Immunotherapy and Immune Responses (7 papers)Immune Cell Function and Interaction (6 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Muneo Takaoki

35 papers receiving 342 citations

Peers

Muneo Takaoki
Comparison fields: 5 of 72
  • Immunology 179
  • Molecular Biology 96
  • Radiology, Nuclear Medicine and Imaging 67
  • Insect Science 43
  • Physiology 40
Replace Rustem Krykbaev with:
Rustem Krykbaev United States
Irwin J. Griffith United States
Luke B. Roberts United Kingdom
Liaoxun Lu China
Tobias Kockmann Switzerland
Bradley A. Foster United States
Ryoko Tsuda Japan
Avishai Mimran Israel
Shuichi Matsuda Japan
Yingyu Mao China
Muneo Takaoki relative to Rustem Krykbaev United States Rustem Krykbaev's profile →
Citations per field
00.5×2.8×
Rustem Krykbaev · 1×
Citations per year

Countries citing papers authored by Muneo Takaoki

Since Specialization
Citations

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

Fields of papers citing papers by Muneo Takaoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muneo Takaoki

This figure shows the co-authorship network connecting the top 25 collaborators of Muneo Takaoki. A scholar is included among the top collaborators of Muneo Takaoki 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 Muneo Takaoki. Muneo Takaoki 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
#WorkIndexed citations
1 1
2 7
3 2
4
Possible involvement of flow detection in the activation of osteoblasts.
1
5
Gravity-regulated proteins of Arabidopsis and cucumber seedlings detected by 2-D electrophoresis.
4
6 24
7 0
8 8
9 9
10 3
11 46
12 3
13 11
14 22
15 2
16 2
17 3
18 1
19 21
20 17

About Muneo Takaoki

Muneo Takaoki is a scholar working on Immunology, Aging and Physiology, having authored 36 papers that have together received 408 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (7 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Immunology (179 citations), Insect Science (43 citations) and Radiology, Nuclear Medicine and Imaging (67 citations). Muneo Takaoki has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Mark I. Greene, A Lowy, A Tominaga, Beryl R. Benacerraf, Robert W. Finberg, Jeffrey A. Drebin, Man‐Sun Sy, Masao Takeuchi, Kenji Kiguchi and Jun Mitsuhashi. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

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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