Mesude Bicak

1.2k total citations
18 papers, 325 citations indexed

About

Mesude Bicak is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Mesude Bicak has authored 18 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Genetics. Recurrent topics in Mesude Bicak's work include Prostate Cancer Treatment and Research (5 papers), Genomics and Phylogenetic Studies (4 papers) and Microbial Community Ecology and Physiology (3 papers). Mesude Bicak is often cited by papers focused on Prostate Cancer Treatment and Research (5 papers), Genomics and Phylogenetic Studies (4 papers) and Microbial Community Ecology and Physiology (3 papers). Mesude Bicak collaborates with scholars based in United States, United Kingdom and Sweden. Mesude Bicak's co-authors include Dawn Field, Tim Booth, Brijesh K. Tiwari, Brad Chapman, William Nelson, Konstantinos Krampis, Robert J. Klein, Hans Lilja, Mike Holcombe and David Ulmert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Mesude Bicak

18 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mesude Bicak United States 9 134 63 54 51 35 18 325
Tomasz Adamusiak United States 11 425 3.2× 56 0.9× 29 0.5× 6 0.1× 10 0.3× 17 594
Vincent A. Fusaro United States 7 151 1.1× 41 0.7× 18 0.3× 3 0.1× 30 0.9× 9 257
Gernot Stocker Austria 9 369 2.8× 30 0.5× 20 0.4× 3 0.1× 12 0.3× 14 496
Simon White United States 9 292 2.2× 10 0.2× 12 0.2× 22 0.4× 11 0.3× 13 479
Frank Meineke Germany 7 127 0.9× 25 0.4× 29 0.5× 5 0.1× 6 0.2× 21 340
Brendan Vaughan United Kingdom 4 399 3.0× 13 0.2× 12 0.2× 24 0.5× 8 0.2× 4 601
Andrew E. Bruno United States 11 260 1.9× 17 0.3× 4 0.1× 20 0.4× 32 0.9× 21 407
Parul Kudtarkar United States 6 179 1.3× 41 0.7× 5 0.1× 4 0.1× 33 0.9× 9 338
Katerina Michalickova Canada 7 332 2.5× 13 0.2× 13 0.2× 4 0.1× 7 0.2× 14 434
Chih Lee United States 9 241 1.8× 7 0.1× 11 0.2× 7 0.1× 6 0.2× 17 384

Countries citing papers authored by Mesude Bicak

Since Specialization
Citations

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

Fields of papers citing papers by Mesude Bicak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mesude Bicak

This figure shows the co-authorship network connecting the top 25 collaborators of Mesude Bicak. A scholar is included among the top collaborators of Mesude Bicak 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 Mesude Bicak. Mesude Bicak 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.
Bicak, Mesude, Cansu Cimen Bozkus, & Nina Bhardwaj. (2024). Checkpoint therapy in cancer treatment: progress, challenges, and future directions. Journal of Clinical Investigation. 134(18). 9 indexed citations
2.
Bicak, Mesude, Darren R. Veach, Katharina Lückerath, et al.. (2023). Quantitative In Vivo Imaging of the Androgen Receptor Axis Reveals Degree of Prostate Cancer Radiotherapy Response. Molecular Cancer Research. 21(4). 307–315. 2 indexed citations
3.
Bicak, Mesude, Jean‐Vianney Haure‐Mirande, Gissel M. Perez, et al.. (2023). BCI-838, an orally active mGluR2/3 receptor antagonist pro-drug, rescues learning behavior deficits in the PS19 MAPT mouse model of tauopathy. Neuroscience Letters. 797. 137080–137080. 6 indexed citations
4.
Bicak, Mesude, Jean‐Vianney Haure‐Mirande, Gissel M. Perez, et al.. (2023). Beneficial effects of physical exercise and an orally active mGluR2/3 antagonist pro-drug on neurogenesis and behavior in an Alzheimer's amyloidosis model. PubMed. 2. 1198006–1198006. 1 indexed citations
5.
Tang, Alice, Tomiko Oskotsky, William G. Mantyh, et al.. (2022). Deep phenotyping of Alzheimer’s disease leveraging electronic medical records identifies sex-specific clinical associations. Nature Communications. 13(1). 675–675. 16 indexed citations
6.
Vaid, Akhil, Kipp W. Johnson, Marcus A. Badgeley, et al.. (2021). Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram. JACC. Cardiovascular imaging. 15(3). 395–410. 60 indexed citations
7.
Bicak, Mesude, Katharina Lückerath, Teja Kalidindi, et al.. (2020). Genetic signature of prostate cancer mouse models resistant to optimized hK2 targeted α-particle therapy. Proceedings of the National Academy of Sciences. 117(26). 15172–15181. 18 indexed citations
8.
Bicak, Mesude, Daniel D. Sjoberg, Emily Vertosick, et al.. (2020). Genome‐wide association study identifies novel single nucleotide polymorphisms having age‐specific effect on prostate‐specific antigen levels. The Prostate. 80(16). 1405–1412. 4 indexed citations
9.
Bicak, Mesude, Xing Wang, Xiaoni Gao, et al.. (2020). Prostate cancer risk SNP rs10993994 is a trans-eQTL for SNHG11 mediated through MSMB. Human Molecular Genetics. 29(10). 1581–1591. 10 indexed citations
10.
Middha, Mridu, Mesude Bicak, Daniel D. Sjoberg, et al.. (2018). Genome-wide Scan Identifies Role for AOX1 in Prostate Cancer Survival. European Urology. 74(6). 710–719. 44 indexed citations
11.
Hoopen, Petra ten, Stéphane Pesant, Renzo Kottmann, et al.. (2015). Marine microbial biodiversity, bioinformatics and biotechnology (M2B3) data reporting and service standards. Standards in Genomic Sciences. 10(1). 20–20. 12 indexed citations
12.
Davies, Neil M, Dawn Field, Katharine Barker, et al.. (2014). Report of the 14th Genomic Standards Consortium Meeting, Oxford, UK, September 17-21, 2012.. Standards in Genomic Sciences. 9(3). 1236–1250. 2 indexed citations
13.
Davies, Neil, Chris Meyer, Jack A. Gilbert, et al.. (2012). A call for an international network of genomic observatories (GOs). GigaScience. 1(1). 5–5. 20 indexed citations
14.
Krampis, Konstantinos, Tim Booth, Brad Chapman, et al.. (2012). Cloud BioLinux: pre-configured and on-demand bioinformatics computing for the genomics community. BMC Bioinformatics. 13(1). 42–42. 104 indexed citations
15.
Booth, Tim, Mesude Bicak, Hyun S. Gweon, Dawn Field, & Enis Afgan. (2012). Bio-Linux as a tool for bioinformatics training. CentAUR (University of Reading). 578–582. 1 indexed citations
16.
Kiran, Mariam, et al.. (2011). . Acta Physica Polonica B Proceedings Supplement. 4(2). 201–201. 7 indexed citations
17.
Jackson, Duncan E., Mesude Bicak, & Mike Holcombe. (2010). Decentralized communication, trail connectivity and emergent benefits of ant pheromone trail networks. Memetic Computing. 3(1). 25–32. 7 indexed citations
18.
Jackson, Duncan E., Mesude Bicak, & Mike Holcombe. (2008). A Paradigm for Self-Organisation: New Inspiration from Ant Foraging Trails. 15. 86–94. 2 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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