Dejan Knezevic
- Pulmonary and Respiratory Medicine top 2%
- Molecular Biology top 10%
- Cancer Research top 5%
- Oncology top 10%
- Cell Biology top 5%
- Co-authors
- Lyubomir T. VassilevChristian TovarDavid HeimbrookXiaolan ZhaoHongmao SunShaoqing ChenLi ChenEric A. Klein
- Topics
- Prostate Cancer Diagnosis and Treatment (9 papers)Prostate Cancer Treatment and Research (9 papers)Cancer-related Molecular Pathways (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyNature Cell Biology
- Partner nations
- United StatesFranceNorway
In The Last Decade
Dejan Knezevic
20 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Pulmonary and Respiratory Medicine 982
- Molecular Biology 920
- Cancer Research 497
- Oncology 441
- Cell Biology 347
Countries citing papers authored by Dejan Knezevic
This map shows the geographic impact of Dejan Knezevic'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 Dejan Knezevic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejan Knezevic more than expected).
Fields of papers citing papers by Dejan Knezevic
This network shows the impact of papers produced by Dejan Knezevic. 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 Dejan Knezevic. The network helps show where Dejan Knezevic may publish in the future.
Co-authorship network of co-authors of Dejan Knezevic
This figure shows the co-authorship network connecting the top 25 collaborators of Dejan Knezevic. A scholar is included among the top collaborators of Dejan Knezevic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dejan Knezevic. Dejan Knezevic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 45 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 17 | |
| 9 | 231 | |
| 10 | A 17-gene Assay to Predict Prostate Cancer Aggressiveness in the Context of Gleason Grade Heterogeneity, Tumor Multifocality, and Biopsy Undersamplingbreakdown → | 447 |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 231 | |
| 14 | 22 | |
| 15 | 55 | |
| 16 | 62 | |
| 17 | 28 | |
| 18 | Selective small-molecule inhibitor reveals critical mitotic functions of human CDK1breakdown → | 620 |
| 19 | 16 | |
| 20 | 70 |
About Dejan Knezevic
Dejan Knezevic is a scholar working on Pulmonary and Respiratory Medicine, Biotechnology and Cancer Research, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (9 papers), Prostate Cancer Treatment and Research (9 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Cancer Research (497 citations), Pulmonary and Respiratory Medicine (982 citations) and Cell Biology (347 citations). Dejan Knezevic has collaborated with scholars based in United States, France and Norway. Frequent co-authors include Lyubomir T. Vassilev, Christian Tovar, David Heimbrook, Xiaolan Zhao, Hongmao Sun, Shaoqing Chen, Li Chen, Eric A. Klein, Sara M. Falzarano and Cristina Magi‐Galluzzi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Nature Cell Biology.
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.