Nela Zavaljevski
Impact in
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- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Gut microbiota and health
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
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- Bacteriophages and microbial interactions
Papers in
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- Genomics and Phylogenetic Studies 7
- Machine Learning in Bioinformatics 6
- RNA and protein synthesis mechanisms 5
- Protein Structure and Dynamics 3
- Bacillus and Francisella bacterial research 3
- Co-authors
- Jaques ReifmanRavi Vijaya SatyaValmik DesaiChenggang YuFred J. StevensK.C. GrossKamal KumarAnders Wallqvist
- Journals
- BMC Bioinformatics (5 papers)Annals of Nuclear Energy (4 papers)PLoS ONE (4 papers)Bioinformatics (2 papers)BMC Genomics (2 papers)
- Partner nations
- United StatesSerbia
In The Last Decade
Nela Zavaljevski
31 papers receiving 604 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 397
- Ecology 79
- Endocrinology 14
- Molecular Medicine 13
- Genetics 71
Countries citing papers authored by Nela Zavaljevski
This map shows the geographic impact of Nela Zavaljevski'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 Nela Zavaljevski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nela Zavaljevski more than expected).
Fields of papers citing papers by Nela Zavaljevski
This network shows the impact of papers produced by Nela Zavaljevski. 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 Nela Zavaljevski. The network helps show where Nela Zavaljevski may publish in the future.
Co-authors
The 25 scholars most cited alongside Nela Zavaljevski, 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 | 2017 | 11 | |
| 2 | 2017 | 18 | |
| 3 | 2016 | 4 | |
| 4 | 2016 | 12 | |
| 5 | 2015 | 25 | |
| 6 | 2015 | 17 | |
| 7 | 2014 | 52 | |
| 8 | 2014 | 10 | |
| 9 | 2013 | 32 | |
| 10 | 2011 | 16 | |
| 11 | 2011 | 5 | |
| 12 | 2010 | 21 | |
| 13 | 2008 | 26 | |
| 14 | 2008 | 63 | |
| 15 | 2008 | 12 | |
| 16 | 2008 | 23 | |
| 17 | 2006 | 21 | |
| 18 | 2005 | 3 | |
| 19 | 2002 | 75 | |
| 20 | 2000 | 1 |
About Nela Zavaljevski
Nela Zavaljevski is a scholar working on Statistics, Probability and Uncertainty, Molecular Biology, Insect Science, Ecology and Radiation, having authored 31 papers that have together received 623 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Machine Learning in Bioinformatics (6 papers), Burkholderia infections and melioidosis (6 papers), RNA and protein synthesis mechanisms (5 papers), Bacteriophages and microbial interactions (4 papers), Protein Structure and Dynamics (3 papers), Bacillus and Francisella bacterial research (3 papers) and Plant Pathogenic Bacteria Studies (3 papers). The work is most often cited by research in Molecular Biology (397 citations), Ecology (79 citations), Endocrinology (14 citations), Molecular Medicine (13 citations) and Genetics (71 citations). Nela Zavaljevski has collaborated with scholars based in United States and Serbia. Frequent co-authors include Jaques Reifman, Ravi Vijaya Satya, Valmik Desai, Chenggang Yu, Fred J. Stevens, K.C. Gross, Kamal Kumar, Anders Wallqvist, Vesna Memišević and Rembert Pieper. Their work appears in journals such as BMC Bioinformatics, Annals of Nuclear Energy, PLoS ONE, Bioinformatics and BMC Genomics.
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.