Tomo Inomata

78 total papers · 962 total citations
57 papers, 741 citations indexed

About

Tomo Inomata is a scholar working on Molecular Biology, Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tomo Inomata has authored 57 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Surgery and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tomo Inomata's work include Reproductive Biology and Fertility (10 papers), Sperm and Testicular Function (8 papers) and Urological Disorders and Treatments (8 papers). Tomo Inomata is often cited by papers focused on Reproductive Biology and Fertility (10 papers), Sperm and Testicular Function (8 papers) and Urological Disorders and Treatments (8 papers). Tomo Inomata collaborates with scholars based in Japan, United States and India. Tomo Inomata's co-authors include Hiroyoshi NINOMIYA, Atsushi Tsukamoto, Naomi Kashiwazaki, Reiichiro Sato, Masao Shino, Jumpei Yamazaki, Yasunari Seita, Ena Nakatsukasa, Takashi Ikeda and S. Hisamatsu and has published in prestigious journals such as Reproduction, Veterinary Microbiology and Applied Animal Behaviour Science.

In The Last Decade

Tomo Inomata

56 papers receiving 717 citations

Author Peers

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

Author						Papers	Cites
Tomo Inomata	200	179	173	107	77	57	741
Maria Pia Pasolini	110 0.6×	97 0.5×	149 0.9×	64 0.6×	36 0.5×	56	823
Andreja Nataša Kopitar	273 1.4×	143 0.8×	153 0.9×	60 0.6×	103 1.3×	47	695
Mehmet Kaya	70 0.3×	116 0.6×	101 0.6×	119 1.1×	22 0.3×	90	711
J. F. Munnell	83 0.4×	249 1.4×	46 0.3×	91 0.9×	119 1.5×	31	885
Eberhard Buse	157 0.8×	223 1.2×	63 0.4×	62 0.6×	64 0.8×	50	726
Lia H. Campbell	158 0.8×	210 1.2×	28 0.2×	46 0.4×	77 1.0×	47	693
Jolanta Kiewisz	146 0.7×	251 1.4×	114 0.7×	160 1.5×	19 0.2×	43	708
Robert D. Phemister	163 0.8×	131 0.7×	161 0.9×	92 0.9×	34 0.4×	32	754
P.M. Summers	284 1.4×	153 0.9×	256 1.5×	190 1.8×	48 0.6×	45	798
Fumiaki Cho	60 0.3×	155 0.9×	103 0.6×	104 1.0×	71 0.9×	91	856

Countries citing papers authored by Tomo Inomata

Since Specialization

Citations

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

Fields of papers citing papers by Tomo Inomata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomo Inomata

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