Kalin Mayberry

962 total citations · 1 hit paper
16 papers, 227 citations indexed

About

Kalin Mayberry is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kalin Mayberry has authored 16 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Genetics and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Kalin Mayberry's work include Hemoglobinopathies and Related Disorders (10 papers), Epigenetics and DNA Methylation (7 papers) and RNA modifications and cancer (5 papers). Kalin Mayberry is often cited by papers focused on Hemoglobinopathies and Related Disorders (10 papers), Epigenetics and DNA Methylation (7 papers) and RNA modifications and cancer (5 papers). Kalin Mayberry collaborates with scholars based in United States, Italy and India. Kalin Mayberry's co-authors include Mitchell J. Weiss, Thiyagaraj Mayuranathan, Jonathan Yen, Yichao Li, Yong Cheng, Jingjing Zhang, Yoonjeong Jang, Senthil Velan Bhoopalan, Yu Yao and Rachel M. Levine and has published in prestigious journals such as Nature, Blood and Science Translational Medicine.

In The Last Decade

Kalin Mayberry

14 papers receiving 225 citations

Hit Papers

Ex vivo prime editing of patient haematopoietic stem cell... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kalin Mayberry United States 7 160 107 48 46 40 16 227
Thiyagaraj Mayuranathan United States 8 225 1.4× 122 1.1× 59 1.2× 49 1.1× 25 0.6× 22 294
Kaitly J. Woodard United States 4 232 1.4× 149 1.4× 66 1.4× 55 1.2× 23 0.6× 4 284
Jiaoyang Liao China 7 168 1.1× 51 0.5× 67 1.4× 21 0.5× 11 0.3× 12 219
Mégane Brusson France 9 155 1.0× 124 1.2× 54 1.1× 64 1.4× 8 0.2× 17 227
Maria Suciu United Kingdom 4 236 1.5× 180 1.7× 52 1.1× 77 1.7× 47 1.2× 6 388
Anne H. Shen China 3 263 1.6× 78 0.7× 101 2.1× 28 0.6× 6 0.1× 3 291
Süleyman Aktuna Türkiye 7 146 0.9× 100 0.9× 54 1.1× 73 1.6× 25 0.6× 20 286
Annamaria Aprile Italy 7 89 0.6× 80 0.7× 49 1.0× 50 1.1× 23 0.6× 15 169
Jason Fixler United States 5 152 0.9× 52 0.5× 33 0.7× 43 0.9× 20 0.5× 9 223
Kestis Vaitkus United States 12 269 1.7× 208 1.9× 15 0.3× 113 2.5× 28 0.7× 22 343

Countries citing papers authored by Kalin Mayberry

Since Specialization
Citations

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

Fields of papers citing papers by Kalin Mayberry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kalin Mayberry

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

All Works

16 of 16 papers shown
1.
Jang, Yoonjeong, Ruopeng Feng, Lance E. Palmer, et al.. (2025). BCL11A-deficient human erythropoiesis is impaired in vitro and after xenotransplantation into mice. Blood Advances. 9(11). 2722–2732. 2 indexed citations
2.
Bhoopalan, Senthil Velan, Thiyagaraj Mayuranathan, Kalin Mayberry, et al.. (2024). Preclinical development of lentiviral vector gene therapy for Diamond-Blackfan anemia syndrome. Molecular Therapy. 33(7). 3086–3100.
3.
Lechauve, Christophe, Alfonso G. Fernandez, Eugene Khandros, et al.. (2024). Ancestral β-globin gene haplotypes modify β-thalassemia severity in a mouse model. Blood Advances. 8(23). 5988–5992.
4.
Christakopoulos, Georgios E., Alfonso G. Fernandez, Yu Yao, et al.. (2023). Loss of miR-144/451 alleviates β-thalassemia by stimulating ULK1-mediated autophagy of free α-globin. Blood. 142(10). 918–932. 12 indexed citations
5.
Everette, Kelcee A., Gregory A. Newby, Rachel M. Levine, et al.. (2023). Ex vivo prime editing of patient haematopoietic stem cells rescues sickle-cell disease phenotypes after engraftment in mice. Nature Biomedical Engineering. 7(5). 616–628. 85 indexed citations breakdown →
6.
Bhoopalan, Senthil Velan, Ruopeng Feng, Thiyagaraj Mayuranathan, et al.. (2023). Reduced Polycomb Repressor Complex 2 (PRC2) Activity and Increased TP53 Activity Mediate Hematopoietic Stem Cell Dysfunction in RPS19-Mutated Diamond-Blackfan Anemia. Blood. 142(Supplement 1). 2732–2732. 2 indexed citations
7.
Feng, Ruopeng, Thiyagaraj Mayuranathan, Peng Huang, et al.. (2022). Activation of γ-globin expression by hypoxia-inducible factor 1α. Nature. 610(7933). 783–790. 37 indexed citations
8.
Bhoopalan, Senthil Velan, Jonathan Yen, Thiyagaraj Mayuranathan, et al.. (2022). An RPS19-edited model for Diamond-Blackfan anemia reveals TP53-dependent impairment of hematopoietic stem cell activity. JCI Insight. 8(1). 12 indexed citations
9.
Woodard, Kaitly J., Phillip A. Doerfler, Kalin Mayberry, et al.. (2022). Limitations of mouse models for sickle cell disease conferred by their human globin transgene configurations. Disease Models & Mechanisms. 15(6). 11 indexed citations
10.
Sharma, Richa, Senthil Velan Bhoopalan, Yu Yao, et al.. (2022). Germline Loss-of-Function Mutations in MDM4 Cause p53-Dependent Hematopoietic Cell Death in Patients with Variable Bone Marrow Failure Phenotypes. Blood. 140(Supplement 1). 2955–2956. 1 indexed citations
11.
Christakopoulos, Georgios E., Thiyagaraj Mayuranathan, Alfonso G. Fernandez, et al.. (2022). Base Editing for Therapeutic Induction of Fetal Hemoglobin in β-Thalassemia. Blood. 140(Supplement 1). 10660–10661. 1 indexed citations
12.
Bhoopalan, Senthil Velan, Jonathan Yen, Thiyagaraj Mayuranathan, et al.. (2021). A Novel RPS19-Edited Hematopoietic Stem Cell Model of Diamond-Blackfan Anemia for Development of Lentiviral Vector Gene Therapy. Blood. 138(Supplement 1). 859–859. 3 indexed citations
13.
Feng, Ruopeng, Thiyagaraj Mayuranathan, Peng Huang, et al.. (2021). Regulation of Fetal Hemoglobin Expression By the VHL-HIF1α Oxygen Sensing System. Blood. 138(Supplement 1). 574–574. 4 indexed citations
14.
Mayuranathan, Thiyagaraj, Jonathan Yen, Gregory A. Newby, et al.. (2020). Adenosine Base Editing of γ-Globin Promoters Induces Fetal Hemoglobin and Inhibit Erythroid Sickling. Blood. 136(Supplement 1). 21–22. 8 indexed citations
15.
Yen, Jonathan, Gregory A. Newby, Thiyagaraj Mayuranathan, et al.. (2020). Base Editing Eliminates the Sickle Cell Mutation and Pathology in Hematopoietic Stem Cells Derived Erythroid Cells. Blood. 136(Supplement 1). 13–14. 4 indexed citations
16.
Lechauve, Christophe, Eugene Khandros, Kalin Mayberry, et al.. (2019). The autophagy-activating kinase ULK1 mediates clearance of free α-globin in β-thalassemia. Science Translational Medicine. 11(506). 45 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026