Hideaki Niwa

55 total papers · 1.2k total citations
24 papers, 488 citations indexed

About

Hideaki Niwa is a scholar working on Molecular Biology, Immunology and Biotechnology. According to data from OpenAlex, Hideaki Niwa has authored 24 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Biotechnology. Recurrent topics in Hideaki Niwa's work include Epigenetics and DNA Methylation (11 papers), Cancer-related gene regulation (7 papers) and Toxin Mechanisms and Immunotoxins (6 papers). Hideaki Niwa is often cited by papers focused on Epigenetics and DNA Methylation (11 papers), Cancer-related gene regulation (7 papers) and Toxin Mechanisms and Immunotoxins (6 papers). Hideaki Niwa collaborates with scholars based in Japan, United Kingdom and Russia. Hideaki Niwa's co-authors include Takashi Umehara, Rex A. Palmer, И. И. Агапов, Alexander Tonevitsky, Shigeyuki Yokoyama, N. Handa, Shin Sato, Uwe Pfüller, Hiroyuki Kagechika and Teruki Honma and has published in prestigious journals such as FEBS Letters, Journal of Medicinal Chemistry and European Journal of Biochemistry.

In The Last Decade

Hideaki Niwa

22 papers receiving 477 citations

Author Peers

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

Author Last Decade Papers Cites
Hideaki Niwa 369 127 65 48 43 24 488
Jennifer L. Walker 282 0.8× 94 0.7× 41 0.6× 23 0.5× 51 1.2× 23 548
P. Rajesh Kumar 394 1.1× 45 0.4× 80 1.2× 25 0.5× 27 0.6× 21 523
Akiko Ikuta 241 0.7× 129 1.0× 43 0.7× 55 1.1× 13 0.3× 32 508
Bence Asbóth 265 0.7× 34 0.3× 59 0.9× 46 1.0× 39 0.9× 24 415
Yuji Kado 264 0.7× 42 0.3× 58 0.9× 45 0.9× 17 0.4× 23 456
Xiaopei Chen 179 0.5× 68 0.5× 36 0.6× 44 0.9× 14 0.3× 29 452
Pyung Keun Myung 330 0.9× 51 0.4× 53 0.8× 24 0.5× 34 0.8× 26 538
Ramkrishna Sadhukhan 235 0.6× 59 0.5× 78 1.2× 17 0.4× 14 0.3× 18 406
Mohd. Amir 336 0.9× 30 0.2× 24 0.4× 40 0.8× 35 0.8× 27 452
Shun‐ichi Ohba 302 0.8× 37 0.3× 61 0.9× 111 2.3× 27 0.6× 38 540

Countries citing papers authored by Hideaki Niwa

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Niwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Niwa

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