Nobuhiro Ichikawa

70 total papers · 1.1k total citations
52 papers, 740 citations indexed

About

Nobuhiro Ichikawa is a scholar working on Pharmacology, Oncology and Molecular Biology. According to data from OpenAlex, Nobuhiro Ichikawa has authored 52 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pharmacology, 19 papers in Oncology and 16 papers in Molecular Biology. Recurrent topics in Nobuhiro Ichikawa's work include Antibiotics Pharmacokinetics and Efficacy (18 papers), Drug Transport and Resistance Mechanisms (18 papers) and Pharmacological Effects and Toxicity Studies (8 papers). Nobuhiro Ichikawa is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (18 papers), Drug Transport and Resistance Mechanisms (18 papers) and Pharmacological Effects and Toxicity Studies (8 papers). Nobuhiro Ichikawa collaborates with scholars based in Japan, South Korea and United States. Nobuhiro Ichikawa's co-authors include Kohji Naora, Kikuo Iwamoto, Mikiro Nakashima, Hitoshi Sasaki, Koji Arizono, Masakazu Hayashibara, Hiroshi Ishibashi, Yuji Takao, Joon-Woo Kim and Masashi Hirano and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Materials Chemistry A.

In The Last Decade

Nobuhiro Ichikawa

50 papers receiving 707 citations

Author Peers

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

Author Last Decade Papers Cites
Nobuhiro Ichikawa 193 171 156 101 94 52 740
Rosa‐Helena Bustos 208 1.1× 146 0.9× 126 0.8× 70 0.7× 26 0.3× 48 883
Audrey Solgadi 232 1.2× 111 0.6× 45 0.3× 39 0.4× 48 0.5× 45 726
Mohamed Ahmed Eladl 244 1.3× 54 0.3× 49 0.3× 102 1.0× 61 0.6× 63 878
J.C. Calandra 148 0.8× 63 0.4× 49 0.3× 187 1.9× 43 0.5× 55 904
Dong Sun 150 0.8× 204 1.2× 55 0.4× 189 1.9× 40 0.4× 46 820
Tianhong Zhang 225 1.2× 84 0.5× 54 0.3× 26 0.3× 89 0.9× 64 887
Ilona Petrikovics 144 0.7× 130 0.8× 70 0.4× 93 0.9× 17 0.2× 57 890
Georgia Charkoftaki 207 1.1× 41 0.2× 31 0.2× 61 0.6× 68 0.7× 34 763
W.J.A. Meuling 179 0.9× 63 0.4× 35 0.2× 189 1.9× 27 0.3× 31 850
András Szeitz 166 0.9× 61 0.4× 66 0.4× 182 1.8× 61 0.6× 37 738

Countries citing papers authored by Nobuhiro Ichikawa

Since Specialization
Citations

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

Fields of papers citing papers by Nobuhiro Ichikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuhiro Ichikawa

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