Naoki Nomura

72 total papers · 1.2k total citations
38 papers, 882 citations indexed

About

Naoki Nomura is a scholar working on Epidemiology, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Naoki Nomura has authored 38 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 9 papers in Molecular Biology and 8 papers in Agronomy and Crop Science. Recurrent topics in Naoki Nomura's work include Influenza Virus Research Studies (16 papers), Animal Disease Management and Epidemiology (8 papers) and Respiratory viral infections research (7 papers). Naoki Nomura is often cited by papers focused on Influenza Virus Research Studies (16 papers), Animal Disease Management and Epidemiology (8 papers) and Respiratory viral infections research (7 papers). Naoki Nomura collaborates with scholars based in Japan, Australia and Vietnam. Naoki Nomura's co-authors include Hiroshi Kida, Masahiro Fujii, Minami Matsui, Tetsushi Matsuda, Motoharu Seiki, Toshio Mori, Masatoshi Okamatsu, Yoshihiro Sakoda, Koji Tamura and Motokazu Tsujikawa and has published in prestigious journals such as Nature, Science and Journal of Virology.

In The Last Decade

Naoki Nomura

33 papers receiving 852 citations

Author Peers

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

Author						Papers	Cites
Naoki Nomura	289	279	230	213	154	38	882
Ping Wu	200 0.7×	244 0.9×	73 0.3×	378 1.8×	99 0.6×	40	979
Furong Zhao	212 0.7×	169 0.6×	201 0.9×	304 1.4×	180 1.2×	45	898
Yun Zhang	96 0.3×	119 0.4×	127 0.6×	399 1.9×	285 1.9×	71	1.0k
C. Howe	150 0.5×	212 0.8×	313 1.4×	190 0.9×	146 0.9×	42	830
Bhupinder Bawa	225 0.8×	432 1.5×	114 0.5×	167 0.8×	331 2.1×	42	1.1k
Palaniappan Ramanathan	132 0.5×	182 0.7×	194 0.8×	217 1.0×	383 2.5×	44	913
Lucilla Steinaa	178 0.6×	82 0.3×	274 1.2×	314 1.5×	207 1.3×	45	916
Birke Andrea Tews	310 1.1×	117 0.4×	72 0.3×	173 0.8×	282 1.8×	33	776
Carmen Alonso	141 0.5×	69 0.2×	98 0.4×	59 0.3×	286 1.9×	34	829
Elizabeth Johnston	84 0.3×	71 0.3×	277 1.2×	169 0.8×	362 2.4×	32	951

Countries citing papers authored by Naoki Nomura

Since Specialization

Citations

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

Fields of papers citing papers by Naoki Nomura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Nomura

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