Chris Sereduk

721 total citations
11 papers, 344 citations indexed

About

Chris Sereduk is a scholar working on Molecular Biology, Hematology and Computational Theory and Mathematics. According to data from OpenAlex, Chris Sereduk has authored 11 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Hematology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Chris Sereduk's work include Multiple Myeloma Research and Treatments (4 papers), Protein Degradation and Inhibitors (3 papers) and Ubiquitin and proteasome pathways (3 papers). Chris Sereduk is often cited by papers focused on Multiple Myeloma Research and Treatments (4 papers), Protein Degradation and Inhibitors (3 papers) and Ubiquitin and proteasome pathways (3 papers). Chris Sereduk collaborates with scholars based in United States and Canada. Chris Sereduk's co-authors include Hongwei Yin, Jessica Schmidt, A. Keith Stewart, Spyro Mousses, Rodger E. Tiedemann, Shi Chang, Laura A. Bruins, David R.P. Guay, Yuan Xiao Zhu and Chantal Garand and has published in prestigious journals such as Blood, Cancer Research and Molecular Cancer.

In The Last Decade

Chris Sereduk

11 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Sereduk United States	7	283	86	81	59	35	11	344
Srilatha Nalluri United States	9	296 1.0×	61 0.7×	85 1.0×	61 1.0×	17 0.5×	9	369
Dalia Quwaider Spain	10	266 0.9×	90 1.0×	129 1.6×	121 2.1×	36 1.0×	14	357
Rosemary A Fryer United Kingdom	5	225 0.8×	145 1.7×	140 1.7×	89 1.5×	31 0.9×	8	360
Somsundar Veppil Muralidharan Sweden	9	451 1.6×	134 1.6×	85 1.0×	106 1.8×	34 1.0×	12	525
Holly Yin United States	7	218 0.8×	71 0.8×	44 0.5×	42 0.7×	24 0.7×	19	303
Melanie Dujka United States	7	223 0.8×	122 1.4×	48 0.6×	56 0.9×	21 0.6×	12	344
Scott E. Millman United States	6	234 0.8×	83 1.0×	54 0.7×	84 1.4×	17 0.5×	10	313
Nuzhat N. Kabir Sweden	13	253 0.9×	94 1.1×	67 0.8×	63 1.1×	22 0.6×	16	384
Marek Wanior Germany	7	251 0.9×	86 1.0×	47 0.6×	23 0.4×	39 1.1×	8	289
Alison Kurimchak United States	14	439 1.6×	186 2.2×	81 1.0×	74 1.3×	17 0.5×	21	541

Countries citing papers authored by Chris Sereduk

Since Specialization

Citations

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

Fields of papers citing papers by Chris Sereduk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Sereduk

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

All Works

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11 of 11 papers shown

Wang, Lujia, Leland Hu, Gustavo De León, et al.. (2023). Weakly-Supervised Transfer Learning With Application in Precision Medicine. IEEE Transactions on Automation Science and Engineering. 21(4). 6250–6264. 6 indexed citations

Finlay, Darren, Hongwei Yin, William P.D. Hendricks, et al.. (2018). Network Rewiring in Cancer: Applications to Melanoma Cell Lines and the Cancer Genome Atlas Patients. Frontiers in Genetics. 9. 228–228. 3 indexed citations

Petricoin, Emanuel F., Darren Finlay, Hongwei Yin, et al.. (2017). Nonlinear mixed effects dose response modeling in high throughput drug screens: application to melanoma cell line analysis. Oncotarget. 9(4). 5044–5057. 2 indexed citations

Finlay, Darren, Hongwei Yin, William P.D. Hendricks, et al.. (2017). Analysis of variability in high throughput screening data: applications to melanoma cell lines and drug responses. Oncotarget. 8(17). 27786–27799. 6 indexed citations

Scortegagna, Marzia, Eric Lau, Tongwu Zhang, et al.. (2015). PDK1 and SGK3 Contribute to the Growth of BRAF-Mutant Melanomas and Are Potential Therapeutic Targets. Cancer Research. 75(7). 1399–1412. 44 indexed citations

Zhu, Yuan Xiao, Hongwei Yin, Laura A. Bruins, et al.. (2014). RNA interference screening identifies lenalidomide sensitizers in multiple myeloma, including RSK2. Blood. 125(3). 483–491. 18 indexed citations

Tiedemann, Rodger E., Jessica Schmidt, Shi Chang, et al.. (2011). Identification of Molecular Vulnerabilities in Human Multiple Myeloma Cells by RNA Interference Lethality Screening of the Druggable Genome. Cancer Research. 72(3). 757–768. 107 indexed citations

Garand, Chantal, David R.P. Guay, Chris Sereduk, et al.. (2011). An integrative approach to identify YB‐1‐interacting proteins required for cisplatin resistance in MCF7 and MDA‐MB‐231 breast cancer cells. Cancer Science. 102(7). 1410–1417. 28 indexed citations

Garand, Chantal, Chris Sereduk, Donald Chow, et al.. (2011). NONO and RALY proteins are required for YB-1 oxaliplatin induced resistance in colon adenocarcinoma cell lines. Molecular Cancer. 10(1). 145–145. 48 indexed citations

10.

Zhu, Yuan Xiao, Rodger E. Tiedemann, Chang-Xin Shi, et al.. (2011). RNAi screen of the druggable genome identifies modulators of proteasome inhibitor sensitivity in myeloma including CDK5. Blood. 117(14). 3847–3857. 81 indexed citations

11.

Zhu, Yuan Xiao, Rodger E. Tiedemann, Jessica Schmidt, et al.. (2009). RNAi Screen of the Druggable Genome Identifies Modulators of Proteasome Inhibitor Sensitivity in Myeloma Including CDK5.. Blood. 114(22). 602–602. 1 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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