Akiko Tenma

16 total papers · 457 total citations
10 papers, 317 citations indexed

About

Akiko Tenma is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Akiko Tenma has authored 10 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Akiko Tenma's work include Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). Akiko Tenma is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). Akiko Tenma collaborates with scholars based in Japan and United States. Akiko Tenma's co-authors include Hironori Nakagami, Ryuichi Morishita, H. Tomioka, Munehisa Shimamura, Hiroshi Koriyama, Hitomi Kurinami, Zheng‐Da Pang, Jiao Sun, Hiroki Hayashi and Hiromi Rakugi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Akiko Tenma

10 papers receiving 316 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Akiko Tenma 143 113 64 56 38 10 317
Michael Lacy 101 0.7× 120 1.1× 23 0.4× 30 0.5× 20 0.5× 9 319
Yuai Li 81 0.6× 181 1.6× 60 0.9× 33 0.6× 12 0.3× 12 358
Lowella V. Fortuno 141 1.0× 76 0.7× 32 0.5× 64 1.1× 12 0.3× 9 341
Nathália Batista Corrêa 75 0.5× 45 0.4× 32 0.5× 60 1.1× 38 1.0× 13 348
Ji Sun Moon 135 0.9× 107 0.9× 119 1.9× 26 0.5× 24 0.6× 16 343
Iva Benešová 100 0.7× 160 1.4× 21 0.3× 74 1.3× 17 0.4× 14 360
Andrea M. Amitrano 157 1.1× 103 0.9× 50 0.8× 50 0.9× 12 0.3× 11 334
Tomasz Próchnicki 250 1.7× 132 1.2× 26 0.4× 21 0.4× 13 0.3× 10 340
Laura L. Thomas 100 0.7× 80 0.7× 48 0.8× 28 0.5× 87 2.3× 8 318
Bertha A. Marroquin 114 0.8× 102 0.9× 116 1.8× 32 0.6× 8 0.2× 10 354

Countries citing papers authored by Akiko Tenma

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Tenma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Tenma

This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Tenma. A scholar is included among the top collaborators of Akiko Tenma 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 Akiko Tenma. Akiko Tenma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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