Daniel Chagnovich
Impact in
- Neurology top 10%
- Neuroblastoma Research and Treatments
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Signaling Pathways in Disease 2
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
- Ion channel regulation and function 1
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- Neuroblastoma Research and Treatments 6
- Neurofibromatosis and Schwannoma Cases 1
- Co-authors
- Susan L. Cohn (7 shared papers)Ruth Lehmann (1 shared paper)Helen R. Salwen (3 shared papers)John W. Foley (1 shared paper)Janet M. Cowan (1 shared paper)Linda M. Parysek (1 shared paper)Marc L. Short (1 shared paper)Chitra Manohar (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (1 paper)European Journal of Cancer (1 paper)PubMed (2 papers)Pediatric Pathology (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Chagnovich
9 papers receiving 372 citations
Peers
Comparison fields: 5 of 36
- Neurology 151
- Cancer Research 56
- Molecular Biology 250
- Aging 6
- Hematology 19
Countries citing papers authored by Daniel Chagnovich
This map shows the geographic impact of Daniel Chagnovich'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 Daniel Chagnovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Chagnovich more than expected).
Fields of papers citing papers by Daniel Chagnovich
This network shows the impact of papers produced by Daniel Chagnovich. 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 Daniel Chagnovich. The network helps show where Daniel Chagnovich may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniel Chagnovich, 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 | 2001 | 79 | |
| 2 | Lack of correlation of N-myc gene amplification with prognosis in localized neuroblastoma: a Pediatric Oncology Group study. | 1995 | 66 |
| 3 | Differential expression of N-myc in phenotypically distinct subclones of a human neuroblastoma cell line. | 1991 | 56 |
| 4 | 2002 | 53 | |
| 5 | 1996 | 37 | |
| 6 | 1996 | 33 | |
| 7 | 1990 | 27 | |
| 8 | 1997 | 15 | |
| 9 | 1993 | 12 |
About Daniel Chagnovich
Daniel Chagnovich is a scholar working on Molecular Biology, Neurology, Genetics, Epidemiology and Cell Biology, having authored 9 papers that have together received 378 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (6 papers), Virus-based gene therapy research (5 papers), Signaling Pathways in Disease (2 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (2 papers), Ion channel regulation and function (1 paper), Neurofibromatosis and Schwannoma Cases (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). The work is most often cited by research in Neurology (151 citations), Cancer Research (56 citations), Molecular Biology (250 citations), Aging (6 citations) and Hematology (19 citations). Daniel Chagnovich has collaborated with scholars based in United States. Frequent co-authors include Susan L. Cohn, Ruth Lehmann, Helen R. Salwen, John W. Foley, Janet M. Cowan, Linda M. Parysek, Marc L. Short, Chitra Manohar, Qiwei Yang and Anthony Nguyen. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, European Journal of Cancer, PubMed and Pediatric Pathology.
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.