Bahar Yilmazel

785 total citations
9 papers, 447 citations indexed

About

Bahar Yilmazel is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Bahar Yilmazel has authored 9 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Bahar Yilmazel's work include Pancreatic and Hepatic Oncology Research (2 papers), Cancer Genomics and Diagnostics (2 papers) and Bioinformatics and Genomic Networks (2 papers). Bahar Yilmazel is often cited by papers focused on Pancreatic and Hepatic Oncology Research (2 papers), Cancer Genomics and Diagnostics (2 papers) and Bioinformatics and Genomic Networks (2 papers). Bahar Yilmazel collaborates with scholars based in United States and Türkiye. Bahar Yilmazel's co-authors include Yanhui Hu, Norbert Perrimon, Charles Roesel, Arunachalam Vinayagam, Stephanie E. Mohr, Travis E. Gibson, Yang‐Yu Liu, Young V. Kwon, Albert-Ĺaszló Barabási and Ho‐Joon Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Nature Methods.

In The Last Decade

Bahar Yilmazel

9 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bahar Yilmazel United States	6	354	63	36	35	33	9	447
Matija Dreze United States	8	671 1.9×	124 2.0×	59 1.6×	10 0.3×	29 0.9×	11	772
Evangelos Karatzas Greece	12	298 0.8×	75 1.2×	29 0.8×	35 1.0×	19 0.6×	29	475
Sven Heinicke United States	4	717 2.0×	136 2.2×	84 2.3×	18 0.5×	57 1.7×	4	814
Kahn Rhrissorrakrai United States	11	226 0.6×	59 0.9×	66 1.8×	5 0.1×	49 1.5×	28	428
Hsih‐Te Yang United States	7	432 1.2×	39 0.6×	49 1.4×	12 0.3×	38 1.2×	12	514
Alberto Calderone Italy	12	521 1.5×	101 1.6×	41 1.1×	9 0.3×	57 1.7×	16	635
Hongseok Shim South Korea	7	268 0.8×	9 0.1×	60 1.7×	20 0.6×	17 0.5×	7	373
Dan Tenenbaum United States	5	592 1.7×	28 0.4×	66 1.8×	25 0.7×	41 1.2×	8	788
Marine Dumousseau United Kingdom	9	491 1.4×	68 1.1×	39 1.1×	3 0.1×	22 0.7×	9	563
Changyu Fan United States	6	431 1.2×	27 0.4×	57 1.6×	3 0.1×	32 1.0×	8	525

Countries citing papers authored by Bahar Yilmazel

Since Specialization

Citations

This map shows the geographic impact of Bahar Yilmazel'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 Bahar Yilmazel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bahar Yilmazel more than expected).

Fields of papers citing papers by Bahar Yilmazel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bahar Yilmazel. 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 Bahar Yilmazel. The network helps show where Bahar Yilmazel may publish in the future.

Co-authorship network of co-authors of Bahar Yilmazel

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

All Works

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9 of 9 papers shown

Silverman, Ian M., Meijuan Li, Karthikeyan Murugesan, et al.. (2022). Validation and Characterization of FGFR2 Rearrangements in Cholangiocarcinoma with Comprehensive Genomic Profiling. Journal of Molecular Diagnostics. 24(4). 351–364. 8 indexed citations

Domchek, Susan M., Katherine L. Nathanson, Shannon M. Bailey, et al.. (2022). Landscape of homologous recombination reversion mutations in pancreaticobiliary malignancies.. Journal of Clinical Oncology. 40(16_suppl). 4156–4156. 1 indexed citations

Fabrizio, David, Coren A. Milbury, Wai‐Ki Yip, et al.. (2019). Abstract A028: Clinical and analytic validation of FoundationOne CDx™ for NTRK fusion-positive solid tumors in patients treated with entrectinib. Molecular Cancer Therapeutics. 18(12_Supplement). A028–A028. 2 indexed citations

Brown, Fiona C., Paolo Cifani, Esther Drill, et al.. (2016). Genomics of primary chemoresistance and remission induction failure in paediatric and adult acute myeloid leukaemia. British Journal of Haematology. 176(1). 86–91. 21 indexed citations

Vinayagam, Arunachalam, Travis E. Gibson, Ho‐Joon Lee, et al.. (2016). Controllability analysis of the directed human protein interaction network identifies disease genes and drug targets. Proceedings of the National Academy of Sciences. 113(18). 4976–4981. 178 indexed citations

Dişel, Umut, Bahar Yilmazel, Fılız Bolat, et al.. (2015). Durable clinical benefit to trastuzumab and chemotherapy in a patient with metastatic colon adenocarcinoma harboring ERBB2 amplification. Oncoscience. 2(6). 581–584. 5 indexed citations

Housden, Benjamin E., Alexander J. Valvezan, Colleen Kelley, et al.. (2015). Identification of potential drug targets for tuberous sclerosis complex by synthetic screens combining CRISPR-based knockouts with RNAi. Science Signaling. 8(393). rs9–rs9. 100 indexed citations

Yilmazel, Bahar, Yanhui Hu, Frederic Sigoillot, et al.. (2014). Online GESS: prediction of miRNA-like off-target effects in large-scale RNAi screen data by seed region analysis. BMC Bioinformatics. 15(1). 192–192. 32 indexed citations

Vinayagam, Arunachalam, Jonathan Zirin, Charles Roesel, et al.. (2013). Integrating protein-protein interaction networks with phenotypes reveals signs of interactions. Nature Methods. 11(1). 94–99. 100 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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