Gizem Rizki

902 total citations
10 papers, 624 citations indexed

About

Gizem Rizki is a scholar working on Molecular Biology, Aging and Endocrine and Autonomic Systems. According to data from OpenAlex, Gizem Rizki has authored 10 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Aging and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Gizem Rizki's work include FOXO transcription factor regulation (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and RNA modifications and cancer (2 papers). Gizem Rizki is often cited by papers focused on FOXO transcription factor regulation (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and RNA modifications and cancer (2 papers). Gizem Rizki collaborates with scholars based in United States, Cyprus and Netherlands. Gizem Rizki's co-authors include Madeline M Keenen, Jongmin Kim, Robert E. Kingston, Christopher P. Davis, Aaron J. Plys, Sharon K. Marr, Laurie A. Boyer, Siu Sylvia Lee, Terri Iwata and Ji Li and has published in prestigious journals such as Genes & Development, PLoS ONE and Circulation Research.

In The Last Decade

Gizem Rizki

10 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gizem Rizki United States	9	472	135	68	56	54	10	624
Artem Zykovich United States	9	560 1.2×	119 0.9×	96 1.4×	25 0.4×	133 2.5×	11	751
Christopher M. Gallo United States	7	490 1.0×	189 1.4×	54 0.8×	53 0.9×	74 1.4×	9	696
Jackson Taylor United States	10	385 0.8×	45 0.3×	58 0.9×	33 0.6×	99 1.8×	13	561
Kiersten A. Henderson United States	11	779 1.7×	168 1.2×	112 1.6×	43 0.8×	29 0.5×	11	966
Mirela Matecic United States	9	458 1.0×	247 1.8×	28 0.4×	161 2.9×	77 1.4×	10	666
Anna P. Petrashen United States	4	237 0.5×	100 0.7×	28 0.4×	38 0.7×	65 1.2×	6	394
Bharath Sunchu United States	7	257 0.5×	117 0.9×	25 0.4×	21 0.4×	179 3.3×	11	484
Chiaki Noguchi United States	16	869 1.8×	74 0.5×	70 1.0×	99 1.8×	91 1.7×	26	919
Timothy Morello United States	5	312 0.7×	34 0.3×	43 0.6×	30 0.5×	82 1.5×	8	476
Britta Jedamzik Germany	7	201 0.4×	75 0.6×	15 0.2×	23 0.4×	53 1.0×	7	384

Countries citing papers authored by Gizem Rizki

Since Specialization

Citations

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

Fields of papers citing papers by Gizem Rizki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gizem Rizki

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

All Works

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10 of 10 papers shown

Berryer, Martin H., Gizem Rizki, Kristina M. Holton, et al.. (2023). High-content synaptic phenotyping in human cellular models reveals a role for BET proteins in synapse assembly. eLife. 12. 5 indexed citations

Plys, Aaron J., Christopher P. Davis, Jongmin Kim, et al.. (2019). Phase separation of Polycomb-repressive complex 1 is governed by a charged disordered region of CBX2. Genes & Development. 33(13-14). 799–813. 244 indexed citations

Rizki, Gizem, et al.. (2016). Direct conversion of mouse embryonic fibroblasts into functional keratinocytes through transient expression of pluripotency-related genes. Stem Cell Research & Therapy. 7(1). 98–98. 11 indexed citations

Wang, Xinchen, Nathan R. Tucker, Gizem Rizki, et al.. (2016). Discovery and validation of sub-threshold genome-wide association study loci using epigenomic signatures. eLife. 5. 78 indexed citations

Rizki, Gizem, et al.. (2015). Model-Based Tumor Growth Dynamics and Therapy Response in a Mouse Model of De Novo Carcinogenesis. PLoS ONE. 10(12). e0143840–e0143840. 16 indexed citations

Rizki, Gizem & Laurie A. Boyer. (2015). Lnc ing Epigenetic Control of Transcription to Cardiovascular Development and Disease. Circulation Research. 117(2). 192–206. 50 indexed citations

Rizki, Gizem, et al.. (2012). Host cell factor 1 inhibits SKN‐1 to modulate oxidative stress responses in Caenorhabditis elegans. Aging Cell. 11(4). 717–721. 8 indexed citations

Rizki, Gizem, Terri Iwata, Christian G. Riedel, et al.. (2011). The Evolutionarily Conserved Longevity Determinants HCF-1 and SIR-2.1/SIRT1 Collaborate to Regulate DAF-16/FOXO. PLoS Genetics. 7(9). e1002235–e1002235. 87 indexed citations

Li, Ji, Atsushi Ebata, Yuqing Dong, et al.. (2008). Caenorhabditis elegans HCF-1 Functions in Longevity Maintenance as a DAF-16 Regulator. PLoS Biology. 6(9). e233–e233. 96 indexed citations

10.

Sharp, J. A., Gizem Rizki, & Paul D. Kaufman. (2005). Regulation of Histone Deposition Proteins Asf1/Hir1 by Multiple DNA Damage Checkpoint Kinases in Saccharomyces cerevisiae. Genetics. 171(3). 885–899. 29 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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