D. Vidović
Impact in
- Immunology top 10%
- Psoriasis: Treatment and Pathogenesis
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Endocrine and Autonomic Systems top 10%
Papers in
-
- Protein Tyrosine Phosphatases 4
- Peroxisome Proliferator-Activated Receptors 3
- Biomedical Text Mining and Ontologies 3
- Ubiquitin and proteasome pathways 2
- Metabolism, Diabetes, and Cancer 2
-
- Galectins and Cancer Biology 4
- Co-authors
- Stephan C. Schürer (27 shared papers)Patrick R. Griffin (4 shared papers)Theodore M. Kamenecka (3 shared papers)Scott A. Busby (3 shared papers)Philippe Nuhant (1 shared paper)Janelle Lauer (1 shared paper)Yongjun Wang (1 shared paper)Jihong Xu (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Nucleic Acids Research (3 papers)Journal of Medicinal Chemistry (2 papers)Nature (2 papers)Scientific Data (2 papers)
- Partner nations
- United StatesDenmarkSweden
In The Last Decade
D. Vidović
27 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Immunology 321
- Endocrine and Autonomic Systems 73
- Molecular Biology 778
- Biochemistry 77
- Computational Theory and Mathematics 135
Countries citing papers authored by D. Vidović
This map shows the geographic impact of D. Vidović'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 D. Vidović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Vidović more than expected).
Fields of papers citing papers by D. Vidović
This network shows the impact of papers produced by D. Vidović. 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 D. Vidović. The network helps show where D. Vidović may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Vidović, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 435 | |
| 2 | 2011 | 420 | |
| 3 | 2019 | 102 | |
| 4 | 2020 | 96 | |
| 5 | 2022 | 58 | |
| 6 | 2014 | 51 | |
| 7 | 2010 | 34 | |
| 8 | 2008 | 33 | |
| 9 | 2010 | 26 | |
| 10 | 2014 | 25 | |
| 11 | 2008 | 24 | |
| 12 | 2018 | 16 | |
| 13 | 2023 | 16 | |
| 14 | 2009 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2009 | 8 | |
| 17 | 2008 | 8 | |
| 18 | Potent Anti-Diabetic Actions of a Novel Non-Agonist PPARγ Ligand that Blocks Cdk5-Mediated Phosphorylation | 2013 | 6 |
| 19 | 2012 | 5 | |
| 20 | 2012 | 4 |
About D. Vidović
D. Vidović is a scholar working on Molecular Biology, Immunology, Computational Theory and Mathematics, Genetics and Information Systems and Management, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Galectins and Cancer Biology (4 papers), Protein Tyrosine Phosphatases (4 papers), Computational Drug Discovery Methods (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Scientific Computing and Data Management (3 papers), Biomedical Text Mining and Ontologies (3 papers), Ubiquitin and proteasome pathways (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Immunology (321 citations), Endocrine and Autonomic Systems (73 citations), Molecular Biology (778 citations), Biochemistry (77 citations) and Computational Theory and Mathematics (135 citations). D. Vidović has collaborated with scholars based in United States, Denmark and Sweden. Frequent co-authors include Stephan C. Schürer, Patrick R. Griffin, Theodore M. Kamenecka, Scott A. Busby, Philippe Nuhant, Janelle Lauer, Yongjun Wang, Jihong Xu, Laura A. Solt and Jin Liu. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Nucleic Acids Research, Journal of Medicinal Chemistry, Nature and Scientific Data.
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.