Akihiro Katayama

1.5k citations
58 papers · 842 indexed · h-index 13
Topics
Diabetes Management and Research (7 papers)Diabetes Treatment and Management (6 papers)Pancreatic function and diabetes (6 papers)
Journals
SHILAP Revista de lepidopterologíaJNCI Journal of the National Cancer InstituteCancer Research

In The Last Decade

Akihiro Katayama

47 papers receiving 819 citations

Peers

Akihiro Katayama
Comparison fields: 5 of 81
  • Oncology 344
  • Immunology 312
  • Molecular Biology 271
  • Surgery 115
  • Cancer Research 93
Replace Florian Weber with:
Florian Weber Germany
Katsumi Tsukazaki Japan
Chunling Ma China
Erik Springer Germany
Alessandra Filosa Italy
Laurentiu M. Pop United States
Stefan Gattenloehner Germany
Hannah M. Knochelmann United States
Isa Mohamed Rose Malaysia
Vittore Cereda Italy
Akihiro Katayama relative to Florian Weber Germany Florian Weber's profile →
Citations per field
00.5×1.5×2.3×
Florian Weber · 1×
Citations per year

Countries citing papers authored by Akihiro Katayama

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Katayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Katayama

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Katayama. A scholar is included among the top collaborators of Akihiro Katayama 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 Akihiro Katayama. Akihiro Katayama 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 4
2 1
3 0
4 3
5 1
6 0
7 45
8 0
9 51
10 0
11 1
12 0
13 1
14 0
15 0
16 1
17 2
18 3
19 0
20 2

About Akihiro Katayama

Akihiro Katayama is a scholar working on Otorhinolaryngology, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 58 papers that have together received 842 indexed citations. Recurring topics across this work include Diabetes Management and Research (7 papers), Diabetes Treatment and Management (6 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Immunology (312 citations), Oncology (344 citations) and Otorhinolaryngology (40 citations). Akihiro Katayama has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yasuaki Harabuchi, Takeshi Ogino, Soldano Ferrone, Hideyuki Ishii, Naoyuki Miyokawa, Satoshi Nonaka, Nobuyuki Bandoh, Miki Takahara, Koichi Sakakura and Kan Kishibe. Their work appears in journals such as SHILAP Revista de lepidopterología, JNCI Journal of the National Cancer Institute 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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