Noah E. Letwin
Impact in
- Emergency Medical Services top 10%
- Pediatric health and respiratory diseases
-
- Asthma and respiratory diseases
- Adipose Tissue and Metabolism
Papers in
-
- Gene expression and cancer classification 3
- Bioinformatics and Genomic Networks 3
- RNA modifications and cancer 1
- Genetics 4
- Genetic Mapping and Diversity in Plants and Animals 4
- Co-authors
- Mary Callaghan Rose (2 shared papers)Norman H. Lee (9 shared papers)Franco M. Piazza (1 shared paper)Dena M. Selby (1 shared paper)Li Huang (1 shared paper)Bryan C. Frank (6 shared papers)Gregory I. Elmer (4 shared papers)Neri Kafkafi (3 shared papers)
- Journals
- Journal of Neuroscience (2 papers)Physiological Genomics (1 paper)Blood (1 paper)Nature Genetics (1 paper)Hypertension (1 paper)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Noah E. Letwin
13 papers receiving 612 citations
Peers
Comparison fields: 5 of 86
- Emergency Medical Services 47
- Physiology 161
- Immunology and Allergy 28
- Pulmonary and Respiratory Medicine 115
- Immunology 69
Countries citing papers authored by Noah E. Letwin
This map shows the geographic impact of Noah E. 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 E. 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 E. Letwin more than expected).
Fields of papers citing papers by Noah E. Letwin
This network shows the impact of papers produced by Noah E. 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 E. Letwin. The network helps show where Noah E. Letwin may publish in the future.
Co-authors
The 25 scholars most cited alongside Noah E. 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 | 213 | |
| 2 | 2004 | 77 | |
| 3 | 2000 | 72 | |
| 4 | 2006 | 53 | |
| 5 | 2006 | 42 | |
| 6 | 2005 | 40 | |
| 7 | 2009 | 29 | |
| 8 | 2007 | 28 | |
| 9 | 2005 | 28 | |
| 10 | 2006 | 25 | |
| 11 | 2007 | 10 | |
| 12 | 2006 | 6 | |
| 13 | 2005 | 1 |
About Noah E. Letwin
Noah E. Letwin is a scholar working on Molecular Biology, Genetics, Hematology, Physiology and Oncology, having authored 13 papers that have together received 624 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (4 papers), Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (3 papers), Acute Myeloid Leukemia Research (2 papers), Adipose Tissue and Metabolism (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Statistical Methods in Clinical Trials (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Emergency Medical Services (47 citations), Physiology (161 citations), Immunology and Allergy (28 citations), Pulmonary and Respiratory Medicine (115 citations) and Immunology (69 citations). Noah E. Letwin has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Mary Callaghan Rose, Norman H. Lee, Franco M. Piazza, Dena M. Selby, Li Huang, Bryan C. Frank, Gregory I. Elmer, Neri Kafkafi, Renae L. Malek and Yoav Benjamini. Their work appears in journals such as Journal of Neuroscience, Physiological Genomics, Blood, Nature Genetics and Hypertension.
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.