Noah Letwin
Impact in
- Emergency Medical Services top 5%
- Pediatric health and respiratory diseases
-
- Asthma and respiratory diseases
- Adipose Tissue and Metabolism
Papers in
-
- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
- Oncology 3
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Mary C. Rose (2 shared papers)Norman H. Lee (9 shared papers)Li Huang (1 shared paper)Dena M. Selby (1 shared paper)Franco M. Piazza (1 shared paper)Bryan Frank (6 shared papers)Gregory I. Elmer (4 shared papers)Neri Kafkafi (3 shared papers)
- Journals
- Journal of Neuroscience (2 papers)Oncogene (1 paper)Hypertension (1 paper)American Journal of Respiratory Cell and Molecular Biology (1 paper)Blood (1 paper)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Noah Letwin
12 papers receiving 555 citations
Peers
Comparison fields: 5 of 84
- Emergency Medical Services 44
- Physiology 149
- Immunology and Allergy 27
- Pulmonary and Respiratory Medicine 100
- Statistics and Probability 28
Countries citing papers authored by Noah Letwin
This map shows the geographic impact of Noah Letwin'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 Noah Letwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah Letwin more than expected).
Fields of papers citing papers by Noah Letwin
This network shows the impact of papers produced by Noah Letwin. 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 Noah Letwin. The network helps show where Noah Letwin may publish in the future.
Co-authors
The 25 scholars most cited alongside Noah Letwin, 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 | 2000 | 202 | |
| 2 | 2004 | 78 | |
| 3 | 2000 | 68 | |
| 4 | 2006 | 50 | |
| 5 | 2005 | 39 | |
| 6 | 2009 | 28 | |
| 7 | 2007 | 28 | |
| 8 | 2006 | 27 | |
| 9 | 2005 | 27 | |
| 10 | 2007 | 10 | |
| 11 | 2006 | 5 | |
| 12 | 2005 | 1 |
About Noah Letwin
Noah Letwin is a scholar working on Molecular Biology, Oncology, Physiology, Genetics and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 563 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (3 papers), Acute Myeloid Leukemia Research (2 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Adipose Tissue and Metabolism (2 papers), Hormonal Regulation and Hypertension (1 paper) and Pharmacological Effects of Natural Compounds (1 paper). The work is most often cited by research in Emergency Medical Services (44 citations), Physiology (149 citations), Immunology and Allergy (27 citations), Pulmonary and Respiratory Medicine (100 citations) and Statistics and Probability (28 citations). Noah Letwin has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Mary C. Rose, Norman H. Lee, Li Huang, Dena M. Selby, Franco M. Piazza, Bryan Frank, Gregory I. Elmer, Neri Kafkafi, Yoav Benjamini and Renae L. Malek. Their work appears in journals such as Journal of Neuroscience, Oncogene, Hypertension, American Journal of Respiratory Cell and Molecular Biology and Blood.
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.