Daisuke Niino

2.5k citations
94 papers · 1.9k indexed · 1 hit paper · h-index 21
Topics
Lymphoma Diagnosis and Treatment (35 papers)T-cell and Retrovirus Studies (21 papers)Viral-associated cancers and disorders (21 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Daisuke Niino

91 papers receiving 1.9k citations

Hit Papers

Expression of programmed cell death ligand 1 is associate...20152026201820222015100200300

Peers

Daisuke Niino
Comparison fields: 5 of 95
  • Pathology and Forensic Medicine 977
  • Oncology 961
  • Immunology 654
  • Genetics 365
  • Neurology 247
Replace Giulio Fraternali Orcioni with:
Giulio Fraternali Orcioni Italy
Hirokazu Nakamine Japan
Javier Menárguez Spain
Marianne Tinguely Switzerland
Carmen Bellas Spain
Yoshizo Kimura Japan
Sylvia Hoeller Switzerland
Jun‐ichi Tamaru Japan
Marco Fizzotti Italy
I. Anagnostopoulos Germany
Daisuke Niino relative to Giulio Fraternali Orcioni Italy Giulio Fraternali Orcioni's profile →
Citations per field
00.5×3.0×
Giulio Fraternali Orcioni · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 5
4 13
5 5
6 2
7 95
8 4
9 4
10 15
11 2
12 27
13 15
14 3
15 3
16 13
17 4
18 2
19 53
20 30

About Daisuke Niino

Daisuke Niino is a scholar working on Pathology and Forensic Medicine, Immunology and Genetics, having authored 94 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (35 papers), T-cell and Retrovirus Studies (21 papers) and Viral-associated cancers and disorders (21 papers). The work is most often cited by research in Pathology and Forensic Medicine (977 citations), Oncology (961 citations) and Genetics (365 citations). Daisuke Niino has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Koichi Ohshima, Yasuo Sugita, Junichi Kiyasu, Fumiko Arakawa, Hiroaki Miyoshi, Yoshizo Kimura, Ayako Ichikawa, Yoshihiro Komohara, Masanori Takeuchi and Motohiro Takeya. Their work appears in journals such as Blood, Scientific Reports and Annals of Oncology.

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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