Marcelo Behar
Impact in
- Cancer Research top 10%
- NF-κB Signaling Pathways
- Immunology top 10%
- Immune Response and Inflammation
- interferon and immune responses
Papers in
-
- Fungal and yeast genetics research 6
- Gene Regulatory Network Analysis 5
- Receptor Mechanisms and Signaling 3
- Single-cell and spatial transcriptomics 2
-
- NF-κB Signaling Pathways 10
- Co-authors
- Alexander Hoffmann (10 shared papers)Timothy C. Elston (9 shared papers)Henrik Dohlman (9 shared papers)Nan Hao (5 shared papers)Gourisankar Ghosh (2 shared papers)Soumen Basak (1 shared paper)Derren Barken (1 shared paper)Shannon L. Werner (1 shared paper)
- Journals
- Biophysical Journal (3 papers)Molecular Cell (2 papers)Science Signaling (1 paper)Current Biology (1 paper)Advances in Therapy (1 paper)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Marcelo Behar
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 261
- Immunology 344
- Molecular Biology 902
- Biophysics 70
- Aging 18
Countries citing papers authored by Marcelo Behar
This map shows the geographic impact of Marcelo Behar'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 Marcelo Behar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo Behar more than expected).
Fields of papers citing papers by Marcelo Behar
This network shows the impact of papers produced by Marcelo Behar. 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 Marcelo Behar. The network helps show where Marcelo Behar may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcelo Behar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 129 | |
| 2 | 2013 | 116 | |
| 3 | 2013 | 104 | |
| 4 | 2012 | 104 | |
| 5 | 2008 | 102 | |
| 6 | 2007 | 89 | |
| 7 | 2007 | 87 | |
| 8 | 2012 | 81 | |
| 9 | 2014 | 73 | |
| 10 | 2007 | 63 | |
| 11 | 2008 | 45 | |
| 12 | 2011 | 45 | |
| 13 | 2017 | 40 | |
| 14 | 2007 | 31 | |
| 15 | 2018 | 29 | |
| 16 | 2015 | 25 | |
| 17 | 2022 | 24 | |
| 18 | 2016 | 24 | |
| 19 | 2013 | 22 | |
| 20 | 2018 | 19 |
About Marcelo Behar
Marcelo Behar is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Cell Biology, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (10 papers), Immune Response and Inflammation (6 papers), Fungal and yeast genetics research (6 papers), Gene Regulatory Network Analysis (5 papers), interferon and immune responses (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Receptor Mechanisms and Signaling (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cancer Research (261 citations), Immunology (344 citations), Molecular Biology (902 citations), Biophysics (70 citations) and Aging (18 citations). Marcelo Behar has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Alexander Hoffmann, Timothy C. Elston, Henrik Dohlman, Nan Hao, Gourisankar Ghosh, Soumen Basak, Derren Barken, Shannon L. Werner, Peter E. Wright and Beverly Errede. Their work appears in journals such as Biophysical Journal, Molecular Cell, Science Signaling, Current Biology and Advances in Therapy.
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.