T. Kitani

854 citations
23 papers · 768 · h-index 16

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 11
    • Protein Tyrosine Phosphatases 4
    • Polyamine Metabolism and Applications 4
    • Fungal and yeast genetics research 3
    • 14-3-3 protein interactions 2
    • DNA Repair Mechanisms 1
    • Amino Acid Enzymes and Metabolism 3

T. Kitani

23 papers receiving 758 citations

Peers

T. Kitani
Comparison fields: 5 of 79
  • Biochemistry 119
  • Cellular and Molecular Neuroscience 172
  • Molecular Biology 603
  • Cell Biology 95
  • Aging 9
Replace Takako Kitani with:
Takako Kitani Japan
Wayne Albers United States
Robert B. Denman United States
Nancy A. Sachs United States
Janis L. Corey United States
Lisa M. DiPilato United States
Herwig Just Austria
Nathan Nelson United States
Gillian Groeger Ireland
Ram S. Puranam United States
T. Kitani relative to Takako Kitani Japan Takako Kitani's profile →
Citations per field
00.5×3.5×
Takako Kitani · 1×
Citations per year

Countries citing papers authored by T. Kitani

Since Specialization
Citations

This map shows the geographic impact of T. Kitani'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 T. Kitani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kitani more than expected).

Fields of papers citing papers by T. Kitani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T. Kitani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Kitani Line = papers co-authored together T. Kitani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995246
2 198474
3 199772
4 198351
5 199949
6 200135
7 198430
8 200128
9 200225
10 199525
11 200021
12 199621
13 199718
14 200118
15 199715
16 199715
17 200113
18 20056
19 19972
20 19971

About T. Kitani

T. Kitani is a scholar working on Molecular Biology, Biochemistry, Plant Science, Cellular and Molecular Neuroscience and Oncology, having authored 23 papers that have together received 768 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (11 papers), Protein Tyrosine Phosphatases (4 papers), Polyamine Metabolism and Applications (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Fungal and yeast genetics research (3 papers), Neuroscience and Neuropharmacology Research (2 papers), 14-3-3 protein interactions (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Biochemistry (119 citations), Cellular and Molecular Neuroscience (172 citations), Molecular Biology (603 citations), Cell Biology (95 citations) and Aging (9 citations). T. Kitani has collaborated with scholars based in Japan and United States. Frequent co-authors include H. Fujisawa, Sachiko Okuno, Atsuhiko Ishida, Isamu Kameshita, Haruki Fujisawa, Masayuki Takeuchi, Senji Okuno, Mitsuo Takeuchi, Tomohisa Ogawa and Tuneko Okazaki. Their work appears in journals such as The Journal of Biochemistry, Journal of Biological Chemistry, Journal of Crystal Growth, Biochemical and Biophysical Research Communications and Food and Chemical Toxicology.

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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