Sakae Kitada

1.5k total citations
36 papers, 1.2k citations indexed

About

Sakae Kitada is a scholar working on Molecular Biology, Oncology and Insect Science. According to data from OpenAlex, Sakae Kitada has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 14 papers in Oncology and 7 papers in Insect Science. Recurrent topics in Sakae Kitada's work include Peptidase Inhibition and Analysis (14 papers), Mitochondrial Function and Pathology (12 papers) and Insect Resistance and Genetics (11 papers). Sakae Kitada is often cited by papers focused on Peptidase Inhibition and Analysis (14 papers), Mitochondrial Function and Pathology (12 papers) and Insect Resistance and Genetics (11 papers). Sakae Kitada collaborates with scholars based in Japan, United States and Austria. Sakae Kitada's co-authors include Akio Ito, Tadashi Ogishima, Katsuhiko Kojima, Takuro Niidome, Kunitoshi Shimokata, Hiroyasu Shimada, Eiichi Mizuki, Tetsuyuki Akao, Alexander B. Taylor and Barbara Smith and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemical Journal.

In The Last Decade

Sakae Kitada

36 papers receiving 1.1k citations

Peers

Sakae Kitada
Comparison fields: 5 of 81
  • Molecular Biology 997
  • Insect Science 198
  • Oncology 191
  • Materials Chemistry 106
  • Plant Science 85
Replace Gregor Meiß with:
Gregor Meiß Germany
Michael J. Staver United States
Toshii Iida Japan
C. Gileadi United Kingdom
Klaus H. Seifart Germany
Franco Fasiolo France
J. Kuchar United States
Gérard Faye France
Marek Gniazdowski Poland
Benjamin C. Orsburn United States
Gregor Meiß Germany View profile →
Citations per field, relative to Sakae Kitada
Sakae Kitada · 1×
Citations per year, relative to Sakae Kitada
Sakae Kitada · 1×

Countries citing papers authored by Sakae Kitada

Since Specialization
Citations

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

Fields of papers citing papers by Sakae Kitada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakae Kitada

This figure shows the co-authorship network connecting the top 25 collaborators of Sakae Kitada. A scholar is included among the top collaborators of Sakae Kitada 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 Sakae Kitada. Sakae Kitada 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
# Work Indexed citations
1 31
2 8
3 27
4 79
5 38
6 3
7 96
8 17
9 25
10 188
11 8
12 10
13 72
14 42
15 26
16 33
17 19
18 18
19 38
20 15

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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