Hiroaki Iwata

57 total papers · 1.2k total citations
37 papers, 786 citations indexed

About

Hiroaki Iwata is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Hiroaki Iwata has authored 37 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 21 papers in Computational Theory and Mathematics and 5 papers in Pharmacology. Recurrent topics in Hiroaki Iwata's work include Computational Drug Discovery Methods (21 papers), Bioinformatics and Genomic Networks (8 papers) and Protein Structure and Dynamics (7 papers). Hiroaki Iwata is often cited by papers focused on Computational Drug Discovery Methods (21 papers), Bioinformatics and Genomic Networks (8 papers) and Protein Structure and Dynamics (7 papers). Hiroaki Iwata collaborates with scholars based in Japan, United States and Russia. Hiroaki Iwata's co-authors include Osamu Gotoh, Yoshihiro Yamanishi, Yasushi Okuno, Ryusuke Sawada, Sayaka Mizutani, Ryosuke Kojima, Masaaki Kotera, Mitsugu Araki, Teruki Honma and Shoichi Ishida and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Hiroaki Iwata

34 papers receiving 773 citations

Author Peers

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

Author						Papers	Cites
Hiroaki Iwata	449	336	86	67	65	37	786
Stephen J. Capuzzi	425 0.9×	447 1.3×	124 1.4×	44 0.7×	24 0.4×	27	886
Daniel H. Foil	275 0.6×	306 0.9×	94 1.1×	75 1.1×	28 0.4×	27	789
Anna Maria Bianucci	424 0.9×	179 0.5×	56 0.7×	58 0.9×	29 0.4×	58	839
Agnes L. Karmaus	209 0.5×	273 0.8×	43 0.5×	49 0.7×	35 0.5×	28	781
Bowen Tang	272 0.6×	158 0.5×	113 1.3×	27 0.4×	36 0.6×	64	747
Bilal Shaker	416 0.9×	265 0.8×	50 0.6×	43 0.6×	17 0.3×	21	747
Joel P. Arrais	480 1.1×	286 0.9×	123 1.4×	19 0.3×	32 0.5×	73	853
Stephen B. Little	226 0.5×	267 0.8×	87 1.0×	37 0.6×	35 0.5×	17	666
Vishal B. Siramshetty	436 1.0×	481 1.4×	88 1.0×	108 1.6×	34 0.5×	24	834
Elizabeth Bilsland	444 1.0×	91 0.3×	36 0.4×	46 0.7×	40 0.6×	22	718

Countries citing papers authored by Hiroaki Iwata

Since Specialization

Citations

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

Fields of papers citing papers by Hiroaki Iwata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroaki Iwata

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