Uros Midic
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- Machine Learning in Bioinformatics
- Reproductive Medicine top 10%
Papers in
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- Pluripotent Stem Cells Research 4
- Protein Structure and Dynamics 4
- RNA Research and Splicing 3
- Bioinformatics and Genomic Networks 3
- Machine Learning in Bioinformatics 3
- RNA modifications and cancer 3
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- Reproductive Biology and Fertility 9
- Co-authors
- Zoran Obradović (11 shared papers)Christopher J. Oldfield (4 shared papers)Vladimir N. Uversky (4 shared papers)A. Keith Dunker (6 shared papers)Keith E. Latham (12 shared papers)Catherine A. VandeVoort (10 shared papers)Hongbo Xie (1 shared paper)Bin Xue (1 shared paper)
- Journals
- Physiological Genomics (4 papers)Nature Communications (3 papers)Genetics (2 papers)Reproductive Toxicology (2 papers)BMC Genomics (2 papers)
- Partner nations
- United StatesRussiaChina
In The Last Decade
Uros Midic
35 papers receiving 931 citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 640
- Reproductive Medicine 46
- Aging 8
- Cell Biology 72
- Public Health, Environmental and Occupational Health 112
Countries citing papers authored by Uros Midic
This map shows the geographic impact of Uros Midic'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 Uros Midic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uros Midic more than expected).
Fields of papers citing papers by Uros Midic
This network shows the impact of papers produced by Uros Midic. 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 Uros Midic. The network helps show where Uros Midic may publish in the future.
Co-authors
The 25 scholars most cited alongside Uros Midic, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 224 | |
| 2 | 2009 | 115 | |
| 3 | 2017 | 100 | |
| 4 | 2020 | 75 | |
| 5 | 2009 | 54 | |
| 6 | 2018 | 46 | |
| 7 | 2013 | 38 | |
| 8 | 2017 | 30 | |
| 9 | 2018 | 24 | |
| 10 | 2020 | 23 | |
| 11 | 2012 | 18 | |
| 12 | 2018 | 18 | |
| 13 | 2011 | 17 | |
| 14 | 2018 | 17 | |
| 15 | 2014 | 16 | |
| 16 | 2016 | 14 | |
| 17 | 2013 | 13 | |
| 18 | 2010 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2014 | 11 |
About Uros Midic
Uros Midic is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Epidemiology and Pediatrics, Perinatology and Child Health, having authored 35 papers that have together received 942 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (9 papers), Pluripotent Stem Cells Research (4 papers), Protein Structure and Dynamics (4 papers), Sepsis Diagnosis and Treatment (4 papers), RNA Research and Splicing (3 papers), Bioinformatics and Genomic Networks (3 papers), Machine Learning in Bioinformatics (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Molecular Biology (640 citations), Reproductive Medicine (46 citations), Aging (8 citations), Cell Biology (72 citations) and Public Health, Environmental and Occupational Health (112 citations). Uros Midic has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Zoran Obradović, Christopher J. Oldfield, Vladimir N. Uversky, A. Keith Dunker, Keith E. Latham, Catherine A. VandeVoort, Hongbo Xie, Bin Xue, Lilia M. Iakoucheva and Slobodan Vučetić. Their work appears in journals such as Physiological Genomics, Nature Communications, Genetics, Reproductive Toxicology 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.