Tomoya Kitani

2.0k citations
33 papers · 1.4k · h-index 17

Impact in

Papers in

    • Pluripotent Stem Cells Research 7
    • CRISPR and Genetic Engineering 4
    • Mitochondrial Function and Pathology 4
    • Congenital heart defects research 3
    • Tissue Engineering and Regenerative Medicine 6

Tomoya Kitani

30 papers receiving 1.4k citations

Peers

Tomoya Kitani
Comparison fields: 5 of 93
  • Cardiology and Cardiovascular Medicine 360
  • Molecular Biology 935
  • Clinical Biochemistry 81
  • Cellular and Molecular Neuroscience 182
  • Genetics 85
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Citations per field
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Citations per year

Countries citing papers authored by Tomoya Kitani

Since Specialization
Citations

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

Fields of papers citing papers by Tomoya Kitani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tomoya 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 Tomoya Kitani Line = papers co-authored together Tomoya Kitani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017287
2 2014184
3 2019148
4 2018110
5 2018102
6 201994
7 201861
8 202047
9 201545
10 201941
11 201838
12 201436
13 201334
14
[Electron microscopic studies on peroxidase and acid phosphatase reaction in human leukocytes (in normal and leukemic cells and on phagocytosis)].
196634
15 201929
16 198924
17 201419
18 201615
19
Amylase-producing plasmacytoma cell lines, AD3 and FR4, with der(14)t(8;14) and dic(8)t(1;8) established from ascites.
199013
20 201810

About Tomoya Kitani

Tomoya Kitani is a scholar working on Molecular Biology, Surgery, Genetics, Cardiology and Cardiovascular Medicine and Oncology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), Tissue Engineering and Regenerative Medicine (6 papers), Mesenchymal stem cell research (4 papers), CRISPR and Genetic Engineering (4 papers), Mitochondrial Function and Pathology (4 papers), 3D Printing in Biomedical Research (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Congenital heart defects research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (360 citations), Molecular Biology (935 citations), Clinical Biochemistry (81 citations), Cellular and Molecular Neuroscience (182 citations) and Genetics (85 citations). Tomoya Kitani has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Joseph C. Wu, Satoshi Gojo, Daisuke Kami, Satoaki Matoba, Arun Sharma, Nazish Sayed, Lei Tian, Angelos Oikonomopoulos, Haodi Wu and Wesley L. McKeithan. Their work appears in journals such as Molecular Therapy, Circulation Research, Circulation, Cell stem cell and Journal of Cellular and Molecular Medicine.

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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