Maria Pasic
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Nephrology top 10%
Papers in
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- Renal and related cancers 6
- Circular RNAs in diseases 3
-
- Cancer Genomics and Diagnostics 6
- MicroRNA in disease regulation 4
- Co-authors
- George M. Yousef (14 shared papers)Ashley Di Meo (5 shared papers)Khosrow Adeli (4 shared papers)David Colantonio (4 shared papers)Yufeng Cheng (1 shared paper)Davor Brinc (4 shared papers)Man Khun Chan (3 shared papers)Allison A. Venner (3 shared papers)
- Journals
- Clinical Biochemistry (5 papers)Clinical Chemistry (4 papers)Oncotarget (2 papers)Tumor Biology (2 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (2 papers)
- Partner nations
- CanadaGreeceUnited States
In The Last Decade
Maria Pasic
36 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 309
- Nephrology 63
- Genetics 76
- Physiology 181
- Statistics, Probability and Uncertainty 53
Countries citing papers authored by Maria Pasic
This map shows the geographic impact of Maria Pasic'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 Maria Pasic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Pasic more than expected).
Fields of papers citing papers by Maria Pasic
This network shows the impact of papers produced by Maria Pasic. 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 Maria Pasic. The network helps show where Maria Pasic may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria Pasic, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 333 | |
| 2 | 2017 | 269 | |
| 3 | 2012 | 85 | |
| 4 | 2015 | 63 | |
| 5 | 2012 | 60 | |
| 6 | 2016 | 55 | |
| 7 | 2011 | 52 | |
| 8 | 2013 | 48 | |
| 9 | 2013 | 36 | |
| 10 | 2012 | 33 | |
| 11 | 2012 | 30 | |
| 12 | 2016 | 27 | |
| 13 | 2012 | 26 | |
| 14 | 2014 | 26 | |
| 15 | 2017 | 20 | |
| 16 | 2015 | 19 | |
| 17 | 2015 | 19 | |
| 18 | 2022 | 18 | |
| 19 | 2012 | 15 | |
| 20 | 2021 | 14 |
About Maria Pasic
Maria Pasic is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Physiology and Surgery, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (6 papers), Cancer Genomics and Diagnostics (6 papers), Renal and related cancers (6 papers), Clinical Laboratory Practices and Quality Control (4 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). The work is most often cited by research in Cancer Research (309 citations), Nephrology (63 citations), Genetics (76 citations), Physiology (181 citations) and Statistics, Probability and Uncertainty (53 citations). Maria Pasic has collaborated with scholars based in Canada, Greece and United States. Frequent co-authors include George M. Yousef, Ashley Di Meo, Khosrow Adeli, David Colantonio, Yufeng Cheng, Davor Brinc, Man Khun Chan, Allison A. Venner, David Armbruster and Lianna Kyriakopoulou. Their work appears in journals such as Clinical Biochemistry, Clinical Chemistry, Oncotarget, Tumor Biology and Clinical Chemistry and Laboratory Medicine (CCLM).
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.