S Saheki
- Physiology top 5%
- Physiology top 10%
-
- Lipid metabolism and disorders 2
-
- Glycosylation and Glycoproteins Research 1
- Chemical Synthesis and Analysis 1
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 2
-
- Monoclonal and Polyclonal Antibodies Research 2
-
- Pancreatic and Hepatic Oncology Research 1
- Peptidase Inhibition and Analysis 1
-
- Pregnancy and preeclampsia studies 1
- Co-authors
- Ferid MuradToshiki KunoMasaki NakaneYoshinori KamisakiScott A. WaldmanLiangzheng ChangDale C. LeitmanJ W Andresen
- Journals
- Journal of Biological Chemistry (3 papers)Clinica Chimica Acta (2 papers)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
S Saheki
11 papers receiving 685 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Physiology 53
- Physiology 291
- Cardiology and Cardiovascular Medicine 245
- Molecular Biology 448
- Cellular and Molecular Neuroscience 84
Countries citing papers authored by S Saheki
This map shows the geographic impact of S Saheki'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 S Saheki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Saheki more than expected).
Fields of papers citing papers by S Saheki
This network shows the impact of papers produced by S Saheki. 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 S Saheki. The network helps show where S Saheki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S Saheki, 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 | 1996 | 9 | |
| 2 | 1996 | 7 | |
| 3 | 1996 | 6 | |
| 4 | [Serum lipoprotein and atherogenicity--relationship with particle size and composition of low density lipoproteins, and their modifications by oxidation and glycation]. | 1995 | 1 |
| 5 | 1994 | 2 | |
| 6 | 1993 | 9 | |
| 7 | 1991 | 11 | |
| 8 | 1990 | 191 | |
| 9 | 1986 | 200 | |
| 10 | Co-purification of an atrial natriuretic factor receptor and particulate guanylate cyclase from rat lung.breakdown → | 1986 | 298 |
| 11 | Characterization of purified group-specific components (Gc 1 and Gc 2 proteins) from human plasma. | 1985 | 2 |
About S Saheki
S Saheki is a scholar working on Immunology, Obstetrics and Gynecology and Endocrinology, Diabetes and Metabolism, having authored 11 papers that have together received 736 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Lipid metabolism and disorders (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Pregnancy and preeclampsia studies (1 paper), Glycosylation and Glycoproteins Research (1 paper), Chemical Synthesis and Analysis (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Physiology (53 citations), Physiology (291 citations) and Cardiology and Cardiovascular Medicine (245 citations). S Saheki has collaborated with scholars based in Japan and United States. Frequent co-authors include Ferid Murad, Toshiki Kuno, Masaki Nakane, Yoshinori Kamisaki, Scott A. Waldman, Liangzheng Chang, Dale C. Leitman, J W Andresen, Ken Arai and Wolfgang A. Buechler. Their work appears in journals such as Journal of Biological Chemistry, Clinica Chimica Acta, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Journal of Immunological Methods and Journal of Endocrinology.
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.