Nobuyoshi Kittaka

522 citations
30 papers · 407 indexed · h-index 8
Topics
Breast Cancer Treatment Studies (10 papers)Breast Lesions and Carcinomas (8 papers)HER2/EGFR in Cancer Research (7 papers)
Journals
SHILAP Revista de lepidopterologíaThe Journal of PhysiologyCancer Research
Partner nations
JapanUnited States

In The Last Decade

Nobuyoshi Kittaka

25 papers receiving 404 citations

Peers

Nobuyoshi Kittaka
Comparison fields: 5 of 60
  • Molecular Biology 207
  • Cancer Research 128
  • Oncology 125
  • Pulmonary and Respiratory Medicine 77
  • Pathology and Forensic Medicine 54
Replace Hong-Bo Huan with:
Hong-Bo Huan China
Jung Uee Lee South Korea
Sebastiano Giallongo Italy
Yuuki Iida Japan
Rafael Sánchez‐Sánchez Spain
Min‐Goo Lee South Korea
Behyar Zoghi United States
Dingzhang Xiao China
Kiichiro Beppu Japan
Natalia Martín-Martín Spain
Nobuyoshi Kittaka relative to Hong-Bo Huan China Hong-Bo Huan's profile →
Citations per field
00.5×5.3×
Hong-Bo Huan · 1×
Citations per year

Countries citing papers authored by Nobuyoshi Kittaka

Since Specialization
Citations

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

Fields of papers citing papers by Nobuyoshi Kittaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuyoshi Kittaka

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuyoshi Kittaka. A scholar is included among the top collaborators of Nobuyoshi Kittaka 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 Nobuyoshi Kittaka. Nobuyoshi Kittaka 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 0
3 5
4 0
5 2
6 4
7 8
8 1
9 5
10 4
11 12
12 9
13 2
14 1
15 4
16 104
17 35
18 0
19 125
20 5

About Nobuyoshi Kittaka

Nobuyoshi Kittaka is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 30 papers that have together received 407 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (10 papers), Breast Lesions and Carcinomas (8 papers) and HER2/EGFR in Cancer Research (7 papers). The work is most often cited by research in Cancer Research (128 citations), Hepatology (39 citations) and Oncology (125 citations). Nobuyoshi Kittaka has collaborated with scholars based in Japan and United States. Frequent co-authors include Masayuki Tanemoto, Atsushi Inanobe, Keizo Dono, Yutaka Takeda, Shigeru Marubashi, Hiroaki Nagano, Morito Monden, Ichiro Takemasa, Shogo Kobayashi and Takahiro Nakayama. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and Cancer Research.

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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