M. Kamiyama
- Co-authors
- B. DastugueT.Y. WangGeorge W. MachiedoSergey B. ZaetsZ. SpolaricsClaire C. MorganTamara L. BerezinaEdwin A. Deitch
- Topics
- Blood groups and transfusion (8 papers)Blood properties and coagulation (6 papers)Platelet Disorders and Treatments (6 papers)
- Partner nations
- United StatesJapanItaly
In The Last Decade
M. Kamiyama
34 papers receiving 849 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 414
- Hematology 187
- Physiology 185
- Biochemistry 176
- Pulmonary and Respiratory Medicine 134
Countries citing papers authored by M. Kamiyama
This map shows the geographic impact of M. Kamiyama'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 M. Kamiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kamiyama more than expected).
Fields of papers citing papers by M. Kamiyama
This network shows the impact of papers produced by M. Kamiyama. 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 M. Kamiyama. The network helps show where M. Kamiyama may publish in the future.
Co-authorship network of co-authors of M. Kamiyama
This figure shows the co-authorship network connecting the top 25 collaborators of M. Kamiyama. A scholar is included among the top collaborators of M. Kamiyama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Kamiyama. M. Kamiyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 303 | |
| 3 | 6 | |
| 4 | 29 | |
| 5 | 1 | |
| 6 | Inhibition of human platelet glycoprotein IIB/IIIA binding to fibrinogen by tumor cell membrane proteins. | 4 |
| 7 | 7 | |
| 8 | Antibodies to a surface membrane marker from human mammary carcinoma cell line. | 1 |
| 9 | 11 | |
| 10 | 12 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | Studies on immune adherence (C3b) receptor activity of human erythrocytes: relationship between receptor activity and membrane osmotic fragility. | 5 |
| 14 | Studies on immune adherence (C3b) receptor activity of human erythrocytes: relationship between receptor activity and presence of immune complexes in serum. | 44 |
| 15 | 8 | |
| 16 | 9 | |
| 17 | 128 | |
| 18 | 58 | |
| 19 | 52 | |
| 20 | 6 |
About M. Kamiyama
M. Kamiyama is a scholar working on Hematology, Toxicology and Genetics, having authored 34 papers that have together received 951 indexed citations. Recurring topics across this work include Blood groups and transfusion (8 papers), Blood properties and coagulation (6 papers) and Platelet Disorders and Treatments (6 papers). The work is most often cited by research in Biochemistry (176 citations), Hematology (187 citations) and Critical Care and Intensive Care Medicine (83 citations). M. Kamiyama has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include B. Dastugue, T.Y. Wang, George W. Machiedo, Sergey B. Zaets, Z. Spolarics, Claire C. Morgan, Tamara L. Berezina, Edwin A. Deitch, J Kruh and Charles R. Spillert. Their work appears in journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Journal of Neurochemistry.
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.