Mariko Tabata

456 citations
12 papers · 156 · h-index 5

Impact in

Papers in

    • Bladder and Urothelial Cancer Treatments 2
    • Epigenetics and DNA Methylation 1
    • Protein Degradation and Inhibitors 1

Mariko Tabata

9 papers receiving 155 citations

Peers

Mariko Tabata
Comparison fields: 5 of 37
  • Cancer Research 44
  • Oncology 36
  • Pulmonary and Respiratory Medicine 31
  • Molecular Biology 69
  • Health Informatics 1
Replace Marni B. McClure with:
Marni B. McClure Japan
Jinyeong Lim South Korea
Sumito Shingaki Japan
Genovefa Polychronidou Greece
Cemil Burak Kulle Türkiye
Deyun Luo China
Stefania Pipitone Italy
Annalise Katz‐Summercorn United Kingdom
Kerstie Johnson United Kingdom
Natalja Eigėlienė Finland
Mariko Tabata relative to Marni B. McClure Japan Marni B. McClure's profile →
Citations per field
00.5×1.5×
Marni B. McClure · 1×
Citations per year

Countries citing papers authored by Mariko Tabata

Since Specialization
Citations

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

Fields of papers citing papers by Mariko Tabata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 202085
2 202426
3 201415
4 202312
5 201610
6 20214
7 20152
8 20251
9 20221
10 20200
11 20230
12
[Clinicopathological Study and Treatment Outcome of Retroperitoneal Soft Tissue Sarcoma].
20150

About Mariko Tabata

Mariko Tabata is a scholar working on Surgery, Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 12 papers that have together received 156 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (3 papers), Cancer Genomics and Diagnostics (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Epigenetics and DNA Methylation (1 paper), Renal cell carcinoma treatment (1 paper), Protein Degradation and Inhibitors (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). The work is most often cited by research in Cancer Research (44 citations), Oncology (36 citations), Pulmonary and Respiratory Medicine (31 citations), Molecular Biology (69 citations) and Health Informatics (1 citation). Mariko Tabata has collaborated with scholars based in Japan, United Kingdom and Sweden. Frequent co-authors include Yasunori Kogure, Yuki Saito, Keisuke Kataoka, Junji Koya, Takanori Kanai∥, Marni B. McClure, Satoru Miyano, Sumito Shingaki, Shigeyuki Matsumoto and Hiroko Tanaka. Their work appears in journals such as Japanese Journal of Clinical Oncology, Blood, Nature, Cancer Discovery and Leukemia.

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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