Chingiz Underbayev

1.2k total citations
18 papers, 671 citations indexed

About

Chingiz Underbayev is a scholar working on Genetics, Immunology and Cancer Research. According to data from OpenAlex, Chingiz Underbayev has authored 18 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 10 papers in Immunology and 6 papers in Cancer Research. Recurrent topics in Chingiz Underbayev's work include Chronic Lymphocytic Leukemia Research (12 papers), MicroRNA in disease regulation (6 papers) and Lymphoma Diagnosis and Treatment (5 papers). Chingiz Underbayev is often cited by papers focused on Chronic Lymphocytic Leukemia Research (12 papers), MicroRNA in disease regulation (6 papers) and Lymphoma Diagnosis and Treatment (5 papers). Chingiz Underbayev collaborates with scholars based in United States, Germany and Saudi Arabia. Chingiz Underbayev's co-authors include Adrian Wiestner, Sarah E. M. Herman, Inhye E. Ahn, Elizabeth Raveché, Siddha Kasar, Xin Tian, Stefania Pittaluga, Yuan Yao, Nakhle S. Saba and Susan Soto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Chingiz Underbayev

18 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chingiz Underbayev United States 10 394 335 230 228 166 18 671
Shuhua Cheng United States 14 341 0.9× 297 0.9× 332 1.4× 229 1.0× 135 0.8× 27 755
Nadia Peragine Italy 15 310 0.8× 212 0.6× 269 1.2× 193 0.8× 82 0.5× 34 605
Michela Frenquelli Italy 13 300 0.8× 173 0.5× 260 1.1× 367 1.6× 121 0.7× 19 720
Marco Fangazio Italy 10 346 0.9× 483 1.4× 220 1.0× 219 1.0× 75 0.5× 20 727
Claudia Fazi Italy 12 583 1.5× 397 1.2× 368 1.6× 192 0.8× 93 0.6× 20 804
Johannes Bloehdorn Germany 14 581 1.5× 437 1.3× 320 1.4× 320 1.4× 69 0.4× 34 891
Šárka Pavlová Czechia 15 342 0.9× 190 0.6× 176 0.8× 443 1.9× 161 1.0× 42 854
Elisa ten Hacken United States 18 664 1.7× 346 1.0× 420 1.8× 333 1.5× 58 0.3× 36 941
Antonis Dagklis Italy 15 511 1.3× 443 1.3× 411 1.8× 230 1.0× 40 0.2× 25 866
Linda C. Yoshimura United States 10 153 0.4× 264 0.8× 392 1.7× 356 1.6× 210 1.3× 17 837

Countries citing papers authored by Chingiz Underbayev

Since Specialization
Citations

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

Fields of papers citing papers by Chingiz Underbayev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chingiz Underbayev

This figure shows the co-authorship network connecting the top 25 collaborators of Chingiz Underbayev. A scholar is included among the top collaborators of Chingiz Underbayev 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 Chingiz Underbayev. Chingiz Underbayev 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.
Chen, Jonathan, Erika M. Gaglione, Chingiz Underbayev, et al.. (2023). CD49d Expression Identifies a Biologically Distinct Subtype of Chronic Lymphocytic Leukemia with Inferior Progression-Free Survival on BTK Inhibitor Therapy. Clinical Cancer Research. 29(18). 3612–3621. 11 indexed citations
2.
Chen, Jonathan, Clare Sun, Chingiz Underbayev, et al.. (2022). CD49d Expression Identifies a Biologically Distinct Subtype of Chronic Lymphocytic Leukemia with Inferior Progression Free Survival on BTK Inhibitor Therapy. Blood. 140(Supplement 1). 6004–6005. 1 indexed citations
3.
Sun, Clare, Erika M. Gaglione, Chingiz Underbayev, et al.. (2021). Humoral and Cellular Immunogenicity of COVID-19 Vaccinations in Patients with CLL. Blood. 138(Supplement 1). 3724–3724. 4 indexed citations
4.
Underbayev, Chingiz, Clare Sun, Komudi Singh, et al.. (2019). IKAP—Identifying K mAjor cell Population groups in single-cell RNA-sequencing analysis. GigaScience. 8(10). 13 indexed citations
5.
Ahn, Inhye E., Chingiz Underbayev, Erika M. Gaglione, et al.. (2019). Diverging Clonal Evolution during Sequential Therapy with Chemoimmunotherapy Followed By BTK Inhibitors. Blood. 134(Supplement_1). 850–850. 1 indexed citations
6.
Robinson, Hannah R., Junpeng Qi, Erika M. Cook, et al.. (2018). A CD19/CD3 bispecific antibody for effective immunotherapy of chronic lymphocytic leukemia in the ibrutinib era. Blood. 132(5). 521–532. 89 indexed citations
7.
Saba, Nakhle S., Deanna H. Wong, Patricia Lobelle‐Rich, et al.. (2017). MALT1 Inhibition Is Efficacious in Both Naïve and Ibrutinib-Resistant Chronic Lymphocytic Leukemia. Cancer Research. 77(24). 7038–7048. 40 indexed citations
8.
Ahn, Inhye E., Chingiz Underbayev, Adam Albitar, et al.. (2017). Clonal evolution leading to ibrutinib resistance in chronic lymphocytic leukemia. Blood. 129(11). 1469–1479. 229 indexed citations
9.
Saba, Nakhle S., Delong Liu, Sarah E. M. Herman, et al.. (2016). Pathogenic role of B-cell receptor signaling and canonical NF-κB activation in mantle cell lymphoma. Blood. 128(1). 82–92. 111 indexed citations
10.
Kasar, Siddha, Chingiz Underbayev, Moinuddin Hassan, et al.. (2016). Alterations in the mir-15a/16-1 Loci Impairs Its Processing and Augments B-1 Expansion in De Novo Mouse Model of Chronic Lymphocytic Leukemia (CLL). PLoS ONE. 11(3). e0149331–e0149331. 7 indexed citations
11.
Underbayev, Chingiz, Siddha Kasar, Heba Degheidy, et al.. (2016). Role of mir-15a/16-1 in early B cell development in a mouse model of chronic lymphocytic leukemia. Oncotarget. 7(38). 60986–60999. 13 indexed citations
12.
Schneider, Joel, Xin Cheng, Qingshi Zhao, et al.. (2014). Reversible Mitochondrial DNA Accumulation in Nuclei of Pluripotent Stem Cells. Stem Cells and Development. 23(22). 2712–2719. 6 indexed citations
13.
Underbayev, Chingiz, Siddha Kasar, Heba Degheidy, et al.. (2014). Abstract 4791: The role of microRNA-15a/16 in early B1 cell development in a mouse model of chronic lymphocytic leukemia. Cancer Research. 74(19_Supplement). 4791–4791. 1 indexed citations
14.
Kasar, Siddha, Chingiz Underbayev, Yuan Yao, et al.. (2013). Therapeutic implications of activation of the host gene (Dleu2) promoter for miR-15a/16-1 in chronic lymphocytic leukemia. Oncogene. 33(25). 3307–3315. 37 indexed citations
15.
Yao, Yuan, Siddha Kasar, Chingiz Underbayev, et al.. (2012). Role of microRNA-15a in autoantibody production in interferon-augmented murine model of lupus. Molecular Immunology. 52(2). 61–70. 37 indexed citations
16.
Underbayev, Chingiz, Siddha Kasar, Yuan Yao, & Elizabeth Raveché. (2012). MicroRNAs and Induced Pluripotent Stem Cells for Human Disease Mouse Modeling. SHILAP Revista de lepidopterología. 2012. 1–7. 4 indexed citations
17.
Yao, Yuan, Siddha Kasar, Chingiz Underbayev, Sindhuri Prakash, & Elizabeth Raveché. (2012). MicroRNAs in Acute Myeloid Leukemia and Other Blood Disorders. PubMed. 2012. 1–11. 8 indexed citations
18.
Kasar, Siddha, Erica Salerno, Yuan Yao, et al.. (2011). Systemic in vivo lentiviral delivery of miR-15a/16 reduces malignancy in the NZB de novo mouse model of chronic lymphocytic leukemia. Genes and Immunity. 13(2). 109–119. 59 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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