Moshe Yamin
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 10%
- Immunology
- Oncology
- Co-authors
- Thomas F. DeuelTodor DimitrovMasaharu NodaAngeles Rodrı́guez-PeñaWen ChenSteven R. GoldringAlan GornMerrilee R. Flannery
- Topics
- Neuropeptides and Animal Physiology (5 papers)Immune Response and Inflammation (2 papers)Receptor Mechanisms and Signaling (2 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationEndocrinology
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Moshe Yamin
13 papers receiving 753 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 527
- Cellular and Molecular Neuroscience 245
- Cell Biology 167
- Immunology 133
- Oncology 112
Countries citing papers authored by Moshe Yamin
This map shows the geographic impact of Moshe Yamin'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 Moshe Yamin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshe Yamin more than expected).
Fields of papers citing papers by Moshe Yamin
This network shows the impact of papers produced by Moshe Yamin. 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 Moshe Yamin. The network helps show where Moshe Yamin may publish in the future.
Co-authorship network of co-authors of Moshe Yamin
This figure shows the co-authorship network connecting the top 25 collaborators of Moshe Yamin. A scholar is included among the top collaborators of Moshe Yamin 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 Moshe Yamin. Moshe Yamin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 36 | |
| 3 | 339 | |
| 4 | 48 | |
| 5 | 37 | |
| 6 | 24 | |
| 7 | 156 | |
| 8 | 60 | |
| 9 | Expression cloning and characterization of a porcine renal calcitonin receptor. | 26 |
| 10 | 11 | |
| 11 | 10 | |
| 12 | IL-1 production by T6 (CD1a) positive cord blood mononuclear cells (Langerhan's cell precursors?). | 8 |
| 13 | Detection of different interleukin-1 activities in human monocytes and monocytic cell lines. | 6 |
About Moshe Yamin
Moshe Yamin is a scholar working on Otorhinolaryngology, Immunology and Allergy and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 776 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Immune Response and Inflammation (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Immunology and Allergy (83 citations), Cellular and Molecular Neuroscience (245 citations) and Cell Biology (167 citations). Moshe Yamin has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Thomas F. Deuel, Todor Dimitrov, Masaharu Noda, Angeles Rodrı́guez-Peña, Wen Chen, Steven R. Goldring, Alan Gorn, Merrilee R. Flannery, Stephen M. Krane and Harvey F. Lodish. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and 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.