Takefumi Inada

60 total papers · 1.3k total citations
45 papers, 1000 citations indexed

About

Takefumi Inada is a scholar working on Anesthesiology and Pain Medicine, Developmental Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Takefumi Inada has authored 45 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Anesthesiology and Pain Medicine, 13 papers in Developmental Neuroscience and 13 papers in Psychiatry and Mental health. Recurrent topics in Takefumi Inada's work include Anesthesia and Neurotoxicity Research (13 papers), Anesthesia and Sedative Agents (13 papers) and Cancer, Stress, Anesthesia, and Immune Response (12 papers). Takefumi Inada is often cited by papers focused on Anesthesia and Neurotoxicity Research (13 papers), Anesthesia and Sedative Agents (13 papers) and Cancer, Stress, Anesthesia, and Immune Response (12 papers). Takefumi Inada collaborates with scholars based in Japan, United States and United Kingdom. Takefumi Inada's co-authors include Koh Shingu, Shinichi Nakao, Shoji Kawachi, Yasuo Yamanouchi, Mamoru Takahashi, Atsushi Nagata, Takashi Asai, Makiko Yamada, Etsuko Miyamoto and Hironobu Ueshima and has published in prestigious journals such as Journal of Virology, Brain Research and Anesthesia & Analgesia.

In The Last Decade

Takefumi Inada

45 papers receiving 966 citations

Author Peers

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

Author						Papers	Cites
Takefumi Inada	410	331	311	228	174	45	1000
Leonid Roytblat	132 0.3×	223 0.7×	240 0.8×	289 1.3×	94 0.5×	24	998
Masanori Ogata	158 0.4×	171 0.5×	76 0.2×	125 0.5×	208 1.2×	44	849
Weian Zeng	233 0.6×	130 0.4×	67 0.2×	167 0.7×	198 1.1×	46	972
Kiichiro Taga	62 0.2×	153 0.5×	236 0.8×	414 1.8×	196 1.1×	41	1.0k
Haiyun Wang	60 0.1×	244 0.7×	134 0.4×	97 0.4×	114 0.7×	59	994
Qin Liao	59 0.1×	162 0.5×	213 0.7×	170 0.7×	63 0.4×	48	957
M. J. Moss	284 0.7×	69 0.2×	161 0.5×	307 1.3×	385 2.2×	35	1.2k
Jing Cang	42 0.1×	304 0.9×	208 0.7×	202 0.9×	71 0.4×	47	967
Jie Sun	76 0.2×	284 0.9×	91 0.3×	70 0.3×	130 0.7×	34	1.2k
Cheng Ni	57 0.1×	398 1.2×	143 0.5×	84 0.4×	83 0.5×	71	1.1k

Countries citing papers authored by Takefumi Inada

Since Specialization

Citations

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

Fields of papers citing papers by Takefumi Inada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takefumi Inada

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