T. Oguma
Impact in
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- Asthma and respiratory diseases
Papers in
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- Asthma and respiratory diseases 4
-
- Polyamine Metabolism and Applications 1
- Co-authors
- Hiroaki Kume (4 shared papers)Kaoru Shimokata (4 shared papers)Kuniyasu Kamiya (3 shared papers)H. Honjo (3 shared papers)Satoru Ito (2 shared papers)Tadashi Takahashi (1 shared paper)Masahira Hattori (1 shared paper)Takehiko Itoh (1 shared paper)
- Journals
- Clinical & Experimental Allergy (4 papers)Food Chemistry (1 paper)European Respiratory Journal (1 paper)Annals of the Rheumatic Diseases (1 paper)DNA Research (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
T. Oguma
11 papers receiving 221 citations
Peers
Comparison fields: 5 of 62
- Physiology 18
- Sensory Systems 15
- Physiology 79
- Endocrine and Autonomic Systems 18
- Biotechnology 22
Countries citing papers authored by T. Oguma
This map shows the geographic impact of T. Oguma'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. Oguma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Oguma more than expected).
Fields of papers citing papers by T. Oguma
This network shows the impact of papers produced by T. Oguma. 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. Oguma. The network helps show where T. Oguma may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Oguma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 58 | |
| 2 | 2007 | 36 | |
| 3 | 2006 | 32 | |
| 4 | 2001 | 26 | |
| 5 | 2009 | 26 | |
| 6 | 2007 | 23 | |
| 7 | 2007 | 18 | |
| 8 | Effects of pravastatin on lipid transfer protein and lecithin cholesterol acyltransferase in heterozygous familial hypercholesterolemia. | 1993 | 4 |
| 9 | 2010 | 2 | |
| 10 | The influence of C3 component on the hydrolysis of human hemoglobin by a hemoglobin protease from lung fluke worms. | 1982 | 1 |
| 11 | [Identical male twins showing progression from hypertrophic cardiomyopathy to dilated cardiomyopathy-like features]. | 1995 | 1 |
| 12 | 2023 | 0 | |
| 13 | 2013 | 0 |
About T. Oguma
T. Oguma is a scholar working on Physiology, Molecular Biology, Rheumatology, Immunology and Food Science, having authored 13 papers that have together received 227 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (4 papers), Polyamine Metabolism and Applications (1 paper), Mast cells and histamine (1 paper), Urticaria and Related Conditions (1 paper), Chemokine receptors and signaling (1 paper), Biochemical Analysis and Sensing Techniques (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Iron Metabolism and Disorders (1 paper). The work is most often cited by research in Physiology (18 citations), Sensory Systems (15 citations), Physiology (79 citations), Endocrine and Autonomic Systems (18 citations) and Biotechnology (22 citations). T. Oguma has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroaki Kume, Kaoru Shimokata, Kuniyasu Kamiya, H. Honjo, Satoru Ito, Tadashi Takahashi, Masahira Hattori, Takehiko Itoh, Masahiro Ogawa and Kenro Oshima. Their work appears in journals such as Clinical & Experimental Allergy, Food Chemistry, European Respiratory Journal, Annals of the Rheumatic Diseases and DNA Research.
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.