T. MATSUOKA

1.1k citations
64 papers · 898 indexed · h-index 17

T. MATSUOKA

59 papers receiving 840 citations

Peers

T. MATSUOKA
Comparison fields: 5 of 106
  • Endocrine and Autonomic Systems 262
  • Critical Care and Intensive Care Medicine 62
  • Organic Chemistry 217
  • Pulmonary and Respiratory Medicine 232
  • Pharmaceutical Science 33
Replace Kazimierz Wiśniewski with:
Kazimierz Wiśniewski Poland
J. R. Richards United Kingdom
Juan Sabater United States
A. Chander United States
Marı́a P. Carrasco Spain
Toshio Akimoto Japan
J P Szidon United States
T Dalhamn Sweden
David Bassett United States
Norman W. Carter United States
T. MATSUOKA relative to Kazimierz Wiśniewski Poland Kazimierz Wiśniewski's profile →
Citations per field
00.5×3.9×
Kazimierz Wiśniewski · 1×
Citations per year

Countries citing papers authored by T. MATSUOKA

Since Specialization
Citations

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

Fields of papers citing papers by T. MATSUOKA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200228
2
Non-Helicobacter pylori ulcer disease in rheumatoid arthritis patients receiving long-term NSAID therapy.
20009
3 199639
4 199457
5 19932
6 199219
7 199244
8 19913
9 19898
10 198819
11 198840
12
[Combination chemotherapy and radiotherapy in small cell carcinoma of the lung].
19860
13 19863
14 19851
15 19824
16 19821
17 19801
18 19806
19 19669
20
19660

About T. MATSUOKA

T. MATSUOKA is a scholar working on Toxicology, Organic Chemistry and Endocrine and Autonomic Systems, having authored 64 papers that have together received 898 indexed citations. Recurring topics across this work include Synthesis and Reactions of Organic Compounds (24 papers), Organic Chemistry Cycloaddition Reactions (17 papers), Bioactive Compounds and Antitumor Agents (11 papers), Synthesis of heterocyclic compounds (10 papers), Neuroscience of respiration and sleep (8 papers), Synthesis and Biological Evaluation (7 papers), Respiratory Support and Mechanisms (6 papers) and Synthesis and Characterization of Heterocyclic Compounds (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (262 citations), Critical Care and Intensive Care Medicine (62 citations) and Organic Chemistry (217 citations). T. MATSUOKA has collaborated with scholars based in Japan and Canada. Frequent co-authors include Jacopo P. Mortola, Chikako Saiki, T. HISANO, Kazunobu Harano, Charles Rohlicek, Tsuyoshi Kawano, K. Miyasaka, Tetsutaro Yoshinaga, Lina Naso and Andrea Dotta. Their work appears in journals such as The Journal of Experimental Medicine, Blood and Journal of Applied Physiology.

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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