Naoyuki Yahata

44 total papers · 933 total citations
35 papers, 765 citations indexed

About

Naoyuki Yahata is a scholar working on Physiology, Hematology and Molecular Biology. According to data from OpenAlex, Naoyuki Yahata has authored 35 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 9 papers in Hematology and 7 papers in Molecular Biology. Recurrent topics in Naoyuki Yahata's work include Telomeres, Telomerase, and Senescence (22 papers), Acute Myeloid Leukemia Research (6 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Naoyuki Yahata is often cited by papers focused on Telomeres, Telomerase, and Senescence (22 papers), Acute Myeloid Leukemia Research (6 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Naoyuki Yahata collaborates with scholars based in Japan, Sweden and United States. Naoyuki Yahata's co-authors include Kazuma Ohyashiki, Hiroshi Iwama, Junko H. Ohyashiki, Keisuke Toyama, Keiko Ando, Shigefumi Hayashi, J H Ohyashiki, Jerry W. Shay, Mayumi Mori and Akinori Hoshika and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer and British Journal of Haematology.

In The Last Decade

Naoyuki Yahata

34 papers receiving 736 citations

Author Peers

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

Author						Papers	Cites
Naoyuki Yahata	487	232	158	122	91	35	765
Barbara Wysoczańska	129 0.3×	229 1.0×	165 1.0×	46 0.4×	242 2.7×	28	645
Kiyotaka Kawauchi	132 0.3×	279 1.2×	206 1.3×	219 1.8×	120 1.3×	36	803
Silvia Giunco	221 0.5×	328 1.4×	25 0.2×	121 1.0×	120 1.3×	37	873
Bernard S. Morse	127 0.3×	329 1.4×	222 1.4×	146 1.2×	45 0.5×	27	717
Takayuki Kodama	502 1.0×	364 1.6×	10 0.1×	42 0.3×	148 1.6×	26	838
Petra J. de Verdier	175 0.4×	392 1.7×	17 0.1×	42 0.3×	46 0.5×	24	777
P. Marlene Absher	256 0.5×	372 1.6×	41 0.3×	32 0.3×	106 1.2×	30	889
Jiřı́ Vácha	135 0.3×	211 0.9×	79 0.5×	44 0.4×	126 1.4×	39	875
Tania L. Slatter	94 0.2×	432 1.9×	15 0.1×	98 0.8×	80 0.9×	46	795
Begüm Kocatürk	53 0.1×	293 1.3×	113 0.7×	40 0.3×	105 1.2×	22	700

Countries citing papers authored by Naoyuki Yahata

Since Specialization

Citations

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

Fields of papers citing papers by Naoyuki Yahata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoyuki Yahata

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