Sanja Rogić
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 5
- Machine Learning in Bioinformatics 3
- RNA Research and Splicing 2
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- Lymphoma Diagnosis and Treatment 7
- Co-authors
- Alan K. Mackworth (4 shared papers)B. F. Francis Ouellette (4 shared papers)Joseph M. Connors (6 shared papers)Paul Pavlidis (8 shared papers)Christian Steidl (6 shared papers)Randy D. Gascoyne (7 shared papers)Marco A. Marra (3 shared papers)Barbara Meissner (4 shared papers)
- Journals
- Blood (6 papers)Human Mutation (2 papers)Autism Research (2 papers)Bioinformatics (2 papers)The American Journal of Human Genetics (1 paper)
- Partner nations
- CanadaUnited StatesRussia
In The Last Decade
Sanja Rogić
20 papers receiving 786 citations
Peers
Comparison fields: 5 of 72
- Genetics 148
- Pathology and Forensic Medicine 241
- Molecular Biology 496
- Cancer Research 95
- Oncology 166
Countries citing papers authored by Sanja Rogić
This map shows the geographic impact of Sanja Rogić'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 Sanja Rogić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanja Rogić more than expected).
Fields of papers citing papers by Sanja Rogić
This network shows the impact of papers produced by Sanja Rogić. 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 Sanja Rogić. The network helps show where Sanja Rogić may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanja Rogić, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 241 | |
| 2 | 2001 | 174 | |
| 3 | 2013 | 93 | |
| 4 | 2012 | 43 | |
| 5 | 2015 | 41 | |
| 6 | 2008 | 38 | |
| 7 | 2015 | 31 | |
| 8 | 2002 | 30 | |
| 9 | 2003 | 23 | |
| 10 | 2019 | 21 | |
| 11 | 2016 | 21 | |
| 12 | 2020 | 11 | |
| 13 | 2011 | 10 | |
| 14 | 2009 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2011 | 4 | |
| 17 | 2011 | 3 | |
| 18 | 2011 | 2 | |
| 19 | 2016 | 1 | |
| 20 | 2009 | 1 |
About Sanja Rogić
Sanja Rogić is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 802 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), Machine Learning in Bioinformatics (3 papers), Autism Spectrum Disorder Research (3 papers), Genomics and Rare Diseases (3 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Genetics (148 citations), Pathology and Forensic Medicine (241 citations), Molecular Biology (496 citations), Cancer Research (95 citations) and Oncology (166 citations). Sanja Rogić has collaborated with scholars based in Canada, United States and Russia. Frequent co-authors include Alan K. Mackworth, B. F. Francis Ouellette, Joseph M. Connors, Paul Pavlidis, Christian Steidl, Randy D. Gascoyne, Marco A. Marra, Barbara Meissner, Robert Kridel and Susana Ben‐Neriah. Their work appears in journals such as Blood, Human Mutation, Autism Research, Bioinformatics and The American Journal of Human Genetics.
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.