Kyle A. Romine

469 total citations
8 papers, 82 citations indexed

About

Kyle A. Romine is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Kyle A. Romine has authored 8 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Hematology and 2 papers in Genetics. Recurrent topics in Kyle A. Romine's work include Acute Myeloid Leukemia Research (4 papers), Protein Degradation and Inhibitors (3 papers) and Single-cell and spatial transcriptomics (2 papers). Kyle A. Romine is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Protein Degradation and Inhibitors (3 papers) and Single-cell and spatial transcriptomics (2 papers). Kyle A. Romine collaborates with scholars based in United States, India and Cuba. Kyle A. Romine's co-authors include Shannon K. McWeeney, Daniel Bottomly, Jeffrey Tyner, Ravindra Majeti, Evan Lind, Yoko Kosaka, Andy Kaempf, M. Ryan Corces, Beth Wilmot and Haijiao Zhang and has published in prestigious journals such as Blood, British Journal of Haematology and Leukemia.

In The Last Decade

Kyle A. Romine

8 papers receiving 82 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle A. Romine United States 4 49 46 26 19 10 8 82
Tony Andreas Müller Germany 4 26 0.5× 29 0.6× 13 0.5× 13 0.7× 16 1.6× 7 64
Véronique Litalien Australia 4 36 0.7× 29 0.6× 20 0.8× 15 0.8× 8 0.8× 7 76
Charles Dussiau France 7 51 1.0× 40 0.9× 29 1.1× 6 0.3× 19 1.9× 11 101
Winston Y. Lee United States 3 54 1.1× 17 0.4× 20 0.8× 10 0.5× 21 2.1× 4 84
Emily F. Calderbank United Kingdom 2 33 0.7× 40 0.9× 34 1.3× 7 0.4× 11 1.1× 4 70
Selina Qiuying Liu United States 4 66 1.3× 36 0.8× 35 1.3× 25 1.3× 5 0.5× 5 98
Govardhan Anande Australia 3 51 1.0× 30 0.7× 14 0.5× 6 0.3× 13 1.3× 3 69
Titouan Cazaubiel France 5 41 0.8× 51 1.1× 6 0.2× 33 1.7× 8 0.8× 11 64
Christoph Rummelt Germany 5 35 0.7× 50 1.1× 9 0.3× 16 0.8× 20 2.0× 7 73
Ronald F. Siebenaler United States 4 41 0.8× 37 0.8× 12 0.5× 5 0.3× 11 1.1× 6 65

Countries citing papers authored by Kyle A. Romine

Since Specialization
Citations

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

Fields of papers citing papers by Kyle A. Romine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle A. Romine. 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 Kyle A. Romine. The network helps show where Kyle A. Romine may publish in the future.

Co-authorship network of co-authors of Kyle A. Romine

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

All Works

8 of 8 papers shown
1.
Rolles, Benjamin, Nicolas Chatain, Margherita Vieri, et al.. (2025). ZIP10 as a potential therapeutic target in acute myeloid leukaemia. British Journal of Haematology. 207(3). 767–779. 1 indexed citations
2.
Romine, Kyle A., et al.. (2023). Immune cell proportions correlate with clinicogenomic features and ex vivo drug responses in acute myeloid leukemia. Frontiers in Oncology. 13. 1192829–1192829. 1 indexed citations
3.
Romine, Kyle A., Kevin MacPherson‐Hawthorne, Yoko Kosaka, et al.. (2023). BET inhibitors rescue anti-PD1 resistance by enhancing TCF7 accessibility in leukemia-derived terminally exhausted CD8+ T cells. Leukemia. 37(3). 580–592. 17 indexed citations
4.
Romine, Kyle A., Yoke Seng Lee, Adam S. Sperling, et al.. (2023). DNMT3A-Mutated Stem and Progenitor Cells Contribute to Altered T Cell Activation in Clonal Hematopoiesis. Blood. 142(Supplement 1). 1320–1320. 1 indexed citations
5.
Eide, Christopher A., Andy Kaempf, Daniel Bottomly, et al.. (2022). Secondary fusion proteins as a mechanism of BCR::ABL1 kinase‐independent resistance in chronic myeloid leukaemia. British Journal of Haematology. 200(3). 323–328. 3 indexed citations
6.
Romine, Kyle A., Tamilla Nechiporuk, Daniel Bottomly, et al.. (2021). Monocytic Differentiation and AHR Signaling as Primary Nodes of BET Inhibitor Response in Acute Myeloid Leukemia. Blood Cancer Discovery. 2(5). 518–531. 22 indexed citations
7.
Wu, Guanming, et al.. (2019). Acute myeloid leukemia–induced T-cell suppression can be reversed by inhibition of the MAPK pathway. Blood Advances. 3(20). 3038–3051. 14 indexed citations
8.
Zhang, Haijiao, Beth Wilmot, Daniel Bottomly, et al.. (2018). Biomarkers Predicting Venetoclax Sensitivity and Strategies for Venetoclax Combination Treatment. Blood. 132(Supplement 1). 175–175. 23 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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