Gozde Kar
Impact in
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Immunology top 10%
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
-
- Single-cell and spatial transcriptomics 3
- Protein Structure and Dynamics 3
- Protein Degradation and Inhibitors 2
- Oncology 6
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Özlem Keskin (6 shared papers)Attila Gürsoy (6 shared papers)Sarah A. Teichmann (6 shared papers)Ruth Nussinov (3 shared papers)Jhuma Pramanik (3 shared papers)Xi Chen (3 shared papers)Bidesh Mahata (3 shared papers)Jacqueline D. Shields (2 shared papers)
- Journals
- Nature Communications (2 papers)Current Pharmaceutical Design (2 papers)Cancer Research (2 papers)Scientific Reports (1 paper)Journal of Thoracic Oncology (1 paper)
- Partner nations
- United KingdomUnited StatesTürkiye
In The Last Decade
Gozde Kar
17 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 774
- Immunology 220
- Oncology 243
- Computational Theory and Mathematics 138
- Cell Biology 135
Countries citing papers authored by Gozde Kar
This map shows the geographic impact of Gozde Kar'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 Gozde Kar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gozde Kar more than expected).
Fields of papers citing papers by Gozde Kar
This network shows the impact of papers produced by Gozde Kar. 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 Gozde Kar. The network helps show where Gozde Kar may publish in the future.
Co-authors
The 25 scholars most cited alongside Gozde Kar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 265 | |
| 2 | 2020 | 205 | |
| 3 | 2010 | 161 | |
| 4 | 2009 | 154 | |
| 5 | 2017 | 125 | |
| 6 | 2017 | 80 | |
| 7 | 2009 | 71 | |
| 8 | 2018 | 60 | |
| 9 | 2017 | 57 | |
| 10 | 2011 | 48 | |
| 11 | 2018 | 30 | |
| 12 | 2023 | 20 | |
| 13 | 2013 | 15 | |
| 14 | 2012 | 11 | |
| 15 | 2018 | 4 | |
| 16 | 2023 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2021 | 0 |
About Gozde Kar
Gozde Kar is a scholar working on Molecular Biology, Oncology, Immunology, Computational Theory and Mathematics and Physiology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Single-cell and spatial transcriptomics (3 papers), Protein Structure and Dynamics (3 papers), Immune Cell Function and Interaction (3 papers), Protein Degradation and Inhibitors (2 papers), Adenosine and Purinergic Signaling (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Molecular Biology (774 citations), Immunology (220 citations), Oncology (243 citations), Computational Theory and Mathematics (138 citations) and Cell Biology (135 citations). Gozde Kar has collaborated with scholars based in United Kingdom, United States and Türkiye. Frequent co-authors include Özlem Keskin, Attila Gürsoy, Sarah A. Teichmann, Ruth Nussinov, Jhuma Pramanik, Xi Chen, Bidesh Mahata, Jacqueline D. Shields, Angela Riedel and Valentine Svensson. Their work appears in journals such as Nature Communications, Current Pharmaceutical Design, Cancer Research, Scientific Reports and Journal of Thoracic Oncology.
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.