Manami Akasaka

73 total papers · 752 total citations
40 papers, 339 citations indexed

About

Manami Akasaka is a scholar working on Pediatrics, Perinatology and Child Health, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Manami Akasaka has authored 40 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pediatrics, Perinatology and Child Health, 7 papers in Infectious Diseases and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Manami Akasaka's work include Metabolism and Genetic Disorders (5 papers), Infectious Encephalopathies and Encephalitis (5 papers) and Neonatal and fetal brain pathology (4 papers). Manami Akasaka is often cited by papers focused on Metabolism and Genetic Disorders (5 papers), Infectious Encephalopathies and Encephalitis (5 papers) and Neonatal and fetal brain pathology (4 papers). Manami Akasaka collaborates with scholars based in Japan and United States. Manami Akasaka's co-authors include Atsushi Kamei, Shinji Saitoh, Kiyoshi Hayasaka, Jun Tohyama, Hideaki Shiraishi, Noriyuki Akasaka, Mitsuhiro Kato, Yuki Ueda, Shoichi Chida and Makoto Sasaki and has published in prestigious journals such as The American Journal of Human Genetics, The Journal of Pediatrics and Epilepsy Research.

In The Last Decade

Manami Akasaka

34 papers receiving 336 citations

Author Peers

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

Author						Papers	Cites
Manami Akasaka	109	109	83	81	43	40	339
Cha Gon Lee	117 1.1×	125 1.1×	71 0.9×	71 0.9×	31 0.7×	35	350
Shin Nabatame	151 1.4×	98 0.9×	57 0.7×	87 1.1×	24 0.6×	39	401
Pen‐Jung Wang	98 0.9×	75 0.7×	108 1.3×	95 1.2×	26 0.6×	51	399
Maya Thomas	94 0.9×	50 0.5×	77 0.9×	101 1.2×	37 0.9×	54	375
Yuki Ueda	103 0.9×	127 1.2×	34 0.4×	81 1.0×	18 0.4×	47	388
Pascal Sabouraud	116 1.1×	50 0.5×	62 0.7×	142 1.8×	51 1.2×	25	383
Toshiro Maihara	179 1.6×	97 0.9×	62 0.7×	74 0.9×	19 0.4×	33	395
Wakaba Endo	149 1.4×	106 1.0×	65 0.8×	82 1.0×	11 0.3×	37	360
Lokesh Lingappa	129 1.2×	82 0.8×	77 0.9×	43 0.5×	15 0.3×	43	358
Shuji Wakai	148 1.4×	62 0.6×	57 0.7×	85 1.0×	28 0.7×	35	377

Countries citing papers authored by Manami Akasaka

Since Specialization

Citations

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

Fields of papers citing papers by Manami Akasaka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manami Akasaka

This figure shows the co-authorship network connecting the top 25 collaborators of Manami Akasaka. A scholar is included among the top collaborators of Manami Akasaka 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 Manami Akasaka. Manami Akasaka 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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