Daisuke Niino

134 total papers · 2.5k total citations
92 papers, 1.9k citations indexed

About

Daisuke Niino is a scholar working on Pathology and Forensic Medicine, Immunology and Oncology. According to data from OpenAlex, Daisuke Niino has authored 92 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Pathology and Forensic Medicine, 35 papers in Immunology and 30 papers in Oncology. Recurrent topics in Daisuke Niino's work include Lymphoma Diagnosis and Treatment (35 papers), Viral-associated cancers and disorders (21 papers) and T-cell and Retrovirus Studies (21 papers). Daisuke Niino is often cited by papers focused on Lymphoma Diagnosis and Treatment (35 papers), Viral-associated cancers and disorders (21 papers) and T-cell and Retrovirus Studies (21 papers). Daisuke Niino collaborates with scholars based in Japan, United States and China. Daisuke Niino's co-authors include Koichi Ohshima, Yasuo Sugita, Junichi Kiyasu, Fumiko Arakawa, Hiroaki Miyoshi, Yoshizo Kimura, Ayako Ichikawa, Yoshihiro Komohara, Motohiro Takeya and Masanori Takeuchi and has published in prestigious journals such as Blood, Scientific Reports and Annals of Oncology.

In The Last Decade

Daisuke Niino

90 papers receiving 1.9k citations

Hit Papers

Expression of programmed ... 2015 2026 2018 2022 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Daisuke Niino 972 957 652 363 247 92 1.9k
Daniel Molin 1.3k 1.3× 1.5k 1.6× 914 1.4× 251 0.7× 356 1.4× 77 2.4k
Girish Venkataraman 1.0k 1.1× 1.0k 1.1× 314 0.5× 431 1.2× 219 0.9× 84 1.9k
Dita Gratzinger 862 0.9× 972 1.0× 611 0.9× 414 1.1× 189 0.8× 97 2.5k
Wing Y. Au 1.1k 1.1× 730 0.8× 542 0.8× 501 1.4× 168 0.7× 75 1.9k
Ayoma D. Attygalle 1.3k 1.3× 881 0.9× 466 0.7× 321 0.9× 148 0.6× 83 2.0k
Hirokazu Nakamine 920 0.9× 715 0.7× 360 0.6× 318 0.9× 152 0.6× 101 1.5k
Giulio Fraternali Orcioni 910 0.9× 644 0.7× 429 0.7× 350 1.0× 225 0.9× 80 1.9k
C. De Wolf‐Peeters 1.0k 1.1× 820 0.9× 595 0.9× 492 1.4× 257 1.0× 78 2.8k
Rachele Volpe 1.2k 1.2× 1.2k 1.3× 344 0.5× 327 0.9× 247 1.0× 112 2.4k
Ingrid Simonitsch‐Klupp 1.1k 1.1× 581 0.6× 809 1.2× 368 1.0× 245 1.0× 93 2.4k

Countries citing papers authored by Daisuke Niino

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Niino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Niino

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Niino. A scholar is included among the top collaborators of Daisuke Niino 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 Daisuke Niino. Daisuke Niino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026