Masahiro Tabata

5.9k citations
225 papers · 4.5k indexed · h-index 35

Masahiro Tabata

213 papers receiving 4.4k citations

Peers

Masahiro Tabata
Comparison fields: 5 of 111
  • Oncology 2.9k
  • Pulmonary and Respiratory Medicine 2.9k
  • Cancer Research 606
  • Molecular Biology 1.3k
  • Otorhinolaryngology 61
Replace Nagio Takigawa with:
Nagio Takigawa Japan
Nick Thatcher United Kingdom
Radj Gervais France
Inderpal S. Sarkaria United States
Shunichi Sugawara Japan
Paolo Maione Italy
Martin Sebastian Germany
Hiroshi Nokihara Japan
Renato Martins United States
D. Johnston Canada
Masahiro Tabata relative to Nagio Takigawa Japan Nagio Takigawa's profile →
Citations per field
00.5×1.5×
Nagio Takigawa · 1×
Citations per year

Countries citing papers authored by Masahiro Tabata

Since Specialization
Citations

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

Fields of papers citing papers by Masahiro Tabata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20232
5 20233
6 20230
7 20231
8 20231
9 202113
10 20206
11 20131
12
Emergence of the EGFR T790M mutation in a lung adenocarcinoma cell line after vandetanib treatment
20080
13 200741
14 200648
15
Profile of phospho-proteins according to LKB1 gene status in lung cancer cells
20051
16
The relationship between epidermal growth factor receptor(EGFR) mutations and clinico-pathological features in non-small cell lung cancers
20052
17
[Combination chemotherapy with carboplatin and etoposide for elderly patients aged 76 years or older with small cell lung cancer].
20021
18 20011
19 200019
20 199310

About Masahiro Tabata

Masahiro Tabata is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 225 papers that have together received 4.5k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (119 papers), Lung Cancer Research Studies (97 papers), Neuroendocrine Tumor Research Advances (35 papers), Cancer therapeutics and mechanisms (34 papers), Lung Cancer Diagnosis and Treatment (33 papers), Colorectal Cancer Treatments and Studies (27 papers), HER2/EGFR in Cancer Research (12 papers) and Cancer Genomics and Diagnostics (10 papers). The work is most often cited by research in Oncology (2.9k citations), Pulmonary and Respiratory Medicine (2.9k citations) and Cancer Research (606 citations). Masahiro Tabata has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Katsuyuki Kiura, Mitsune Tanimoto, Hiroshi Ueoka, Katsuyuki Hotta, Nagio Takigawa, Keitaro Matsuo, Keiichi Fujiwara, Eiki Ichihara, Takuo Shibayama and Yoshiro Fujiwara. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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