Gozde Kar

3.9k total citations
18 papers, 1.3k citations indexed

About

Gozde Kar is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Gozde Kar has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Immunology. Recurrent topics in Gozde Kar's work include Computational Drug Discovery Methods (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Protein Structure and Dynamics (3 papers). Gozde Kar is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Protein Structure and Dynamics (3 papers). Gozde Kar collaborates with scholars based in United Kingdom, United States and Türkiye. Gozde Kar's co-authors include Özlem Keskin, Attila Gürsoy, Sarah A. Teichmann, Ruth Nussinov, Bidesh Mahata, Jhuma Pramanik, Xi Chen, Jacqueline D. Shields, Angela Riedel and Valentine Svensson and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Cell Biology.

In The Last Decade

Gozde Kar

17 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gozde Kar United Kingdom 13 774 243 220 138 135 18 1.3k
Daniela Gabriel United States 17 1.3k 1.7× 320 1.3× 100 0.5× 78 0.6× 349 2.6× 49 2.3k
Kun Bi United States 18 889 1.1× 219 0.9× 579 2.6× 39 0.3× 289 2.1× 51 1.6k
Eishu Hirata Japan 17 690 0.9× 441 1.8× 195 0.9× 37 0.3× 273 2.0× 37 1.4k
Edroaldo Lummertz da Rocha United States 19 1.4k 1.9× 186 0.8× 223 1.0× 28 0.2× 269 2.0× 47 2.1k
Liang Hong United States 28 1.8k 2.4× 200 0.8× 190 0.9× 40 0.3× 427 3.2× 106 2.6k
Angela Oliveira Pisco United States 21 1.1k 1.5× 315 1.3× 220 1.0× 34 0.2× 319 2.4× 38 2.1k
Joshua J. Ziarek United States 20 690 0.9× 646 2.7× 486 2.2× 86 0.6× 87 0.6× 35 1.3k
Coby B. Carlson United States 19 923 1.2× 138 0.6× 107 0.5× 31 0.2× 102 0.8× 36 1.3k
Wuyi Meng United States 11 954 1.2× 264 1.1× 203 0.9× 30 0.2× 277 2.1× 15 1.4k
Charlotte Welinder Sweden 22 912 1.2× 322 1.3× 206 0.9× 22 0.2× 157 1.2× 67 1.7k

Countries citing papers authored by Gozde Kar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Gozde Kar

This figure shows the co-authorship network connecting the top 25 collaborators of Gozde Kar. A scholar is included among the top collaborators of Gozde Kar 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 Gozde Kar. Gozde Kar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Candido, Juliana, Gozde Kar, Fabien Garçon, et al.. (2023). 785 mAZD0171 mediated LIF blockade in combination with chemotherapy and PD-L1 inhibition repolarizes macrophages and increases T cell infiltration via CX3CR1-CX3CL1 axis. SHILAP Revista de lepidopterología. A882–A882. 1 indexed citations
2.
Kim, Dong‐Wan, Sang‐We Kim, D. Ross Camidge, et al.. (2023). CD73 Inhibitor Oleclumab Plus Osimertinib in Previously Treated Patients With Advanced T790M-Negative EGFR-Mutated NSCLC: A Brief Report. Journal of Thoracic Oncology. 18(5). 650–656. 20 indexed citations
3.
Candido, Juliana, et al.. (2022). Abstract 1293: AZD0171 (anti-LIF) combines productively with chemotherapy and anti-PD-L1 in mouse models of cancer. Cancer Research. 82(12_Supplement). 1293–1293. 1 indexed citations
4.
Eyles, Jim, Amanda Watkins, Kristina M. Ilieva, et al.. (2021). Abstract 1584: Efficacy and pharmacodynamic effect of anti-CD73/PD-L1 monoclonal antibodies in combination with chemotherapy: Observations from mouse tumor models. Cancer Research. 81(13_Supplement). 1584–1584.
5.
Mahata, Bidesh, Jhuma Pramanik, Louise van der Weyden, et al.. (2020). Tumors induce de novo steroid biosynthesis in T cells to evade immunity. Nature Communications. 11(1). 3588–3588. 265 indexed citations
6.
Davidson, Sarah, Mirjana Efremova, Angela Riedel, et al.. (2020). Single-Cell RNA Sequencing Reveals a Dynamic Stromal Niche That Supports Tumor Growth. Cell Reports. 31(7). 107628–107628. 205 indexed citations
7.
Miragaia, Ricardo J., Xiuwei Zhang, Tomás Gomes, et al.. (2018). Single-cell RNA-sequencing resolves self-antigen expression during mTEC development. Scientific Reports. 8(1). 685–685. 30 indexed citations
8.
Nawijn, Martijn C., Orestes A. Carpaij, Marijn Berg, et al.. (2018). Novel cell types and altered cell states in asthma revealed by single-cell RNA sequencing of airway wall biopsies.. Data Archiving and Networked Services (DANS). OA505–OA505. 4 indexed citations
9.
Pramanik, Jhuma, Xi Chen, Gozde Kar, et al.. (2018). Genome-wide analyses reveal the IRE1a-XBP1 pathway promotes T helper cell differentiation by resolving secretory stress and accelerating proliferation. Genome Medicine. 10(1). 76–76. 60 indexed citations
10.
Donati, Giacomo, Emanuel Rognoni, Toru Hiratsuka, et al.. (2017). Wounding induces dedifferentiation of epidermal Gata6+ cells and acquisition of stem cell properties. Nature Cell Biology. 19(6). 603–613. 125 indexed citations
11.
Kar, Gozde, Jong Kim, Aleksandra A. Kolodziejczyk, et al.. (2017). Flipping between Polycomb repressed and active transcriptional states introduces noise in gene expression. Nature Communications. 8(1). 36–36. 57 indexed citations
12.
Rostom, Raghd, Valentine Svensson, Sarah A. Teichmann, & Gozde Kar. (2017). Computational approaches for interpreting scRNA‐seq data. FEBS Letters. 591(15). 2213–2225. 80 indexed citations
13.
Kar, Gozde, Özlem Keskin, Franca Fraternali, & Attila Gürsoy. (2013). Emerging Role of the Ubiquitin-proteasome System as Drug Targets. Current Pharmaceutical Design. 19(18). 3175–3189. 15 indexed citations
14.
Kar, Gozde, Guray Kuzu, Özlem Keskin, & Attila Gürsoy. (2012). Protein-protein Interfaces Integrated into Interaction Networks: Implications on Drug Design. Current Pharmaceutical Design. 18(30). 4697–4705. 11 indexed citations
15.
Kar, Gozde, Özlem Keskin, Ruth Nussinov, & Attila Gürsoy. (2011). Human Proteome-scale Structural Modeling of E2–E3 Interactions Exploiting Interface Motifs. Journal of Proteome Research. 11(2). 1196–1207. 48 indexed citations
16.
Kar, Gozde, Özlem Keskin, Attila Gürsoy, & Ruth Nussinov. (2010). Allostery and population shift in drug discovery. Current Opinion in Pharmacology. 10(6). 715–722. 161 indexed citations
17.
Tunçbağ, Nurcan, Gozde Kar, Attila Gürsoy, Özlem Keskin, & Ruth Nussinov. (2009). Towards inferring time dimensionality in protein–protein interaction networks by integrating structures: the p53 example. Molecular BioSystems. 5(12). 1770–1778. 71 indexed citations
18.
Kar, Gozde, Attila Gürsoy, & Özlem Keskin. (2009). Human Cancer Protein-Protein Interaction Network: A Structural Perspective. PLoS Computational Biology. 5(12). e1000601–e1000601. 154 indexed citations

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.

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