Dylan Kotliar

3.3k total citations
16 papers, 1.1k citations indexed

About

Dylan Kotliar is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Dylan Kotliar has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Dylan Kotliar's work include Single-cell and spatial transcriptomics (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Cancer Genomics and Diagnostics (4 papers). Dylan Kotliar is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Cancer Genomics and Diagnostics (4 papers). Dylan Kotliar collaborates with scholars based in United States, United Kingdom and Sierra Leone. Dylan Kotliar's co-authors include Pardis C. Sabeti, Dana Pe’er, Félix Sanchez-Garcia, Jessica Kim, Panisa Pochanard, Uri David Akavia, Helen C. Causton, Levi A. Garraway, Oren Litvin and Eyal Mozes and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Dylan Kotliar

15 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dylan Kotliar United States	8	826	223	215	103	83	16	1.1k
J. Seth Strattan United States	9	1.6k 1.9×	244 1.1×	244 1.1×	106 1.0×	76 0.9×	10	1.8k
Daniel Bottomly United States	18	856 1.0×	166 0.7×	227 1.1×	146 1.4×	169 2.0×	58	1.5k
Chenghao Xuan China	18	887 1.1×	222 1.0×	152 0.7×	87 0.8×	177 2.1×	35	1.1k
Cricket A. Sloan United States	6	1.3k 1.6×	319 1.4×	247 1.1×	105 1.0×	65 0.8×	7	1.6k
Aditi K. Narayanan United States	5	1.2k 1.5×	279 1.3×	237 1.1×	98 1.0×	64 0.8×	6	1.4k
Brian T. Lee United States	6	889 1.1×	242 1.1×	205 1.0×	69 0.7×	57 0.7×	8	1.1k
Forrest Y. Tanaka United States	5	1.2k 1.5×	281 1.3×	235 1.1×	97 0.9×	64 0.8×	5	1.4k
Yannick Bidet France	16	468 0.6×	128 0.6×	212 1.0×	46 0.4×	93 1.1×	37	757
Chen-Hao Chen United States	9	1.0k 1.3×	298 1.3×	127 0.6×	117 1.1×	153 1.8×	13	1.2k
Christina Ernst United Kingdom	14	1.1k 1.3×	214 1.0×	190 0.9×	57 0.6×	66 0.8×	21	1.4k

Countries citing papers authored by Dylan Kotliar

Since Specialization

Citations

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

Fields of papers citing papers by Dylan Kotliar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dylan Kotliar

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

All Works

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16 of 16 papers shown

Kotliar, Dylan, Michelle Curtis, Kathryn Weinand, et al.. (2025). Reproducible single-cell annotation of programs underlying T cell subsets, activation states and functions. Nature Methods. 22(9). 1964–1980.

Brown, Elizabeth A., Susan Kales, Michael James Boyle, et al.. (2023). Three linked variants have opposing regulatory effects on isovaleryl-CoA dehydrogenase gene expression. Human Molecular Genetics. 33(3). 270–283. 1 indexed citations

Hibler, Brian P., et al.. (2022). Nonablative Fractional Laser Treatment Is Associated With a Decreased Risk of Subsequent Facial Keratinocyte Carcinoma Development. Dermatologic Surgery. 49(2). 149–154. 13 indexed citations

Kotliar, Dylan & Andrés Colubri. (2021). Sciviewer enables interactive visual interrogation of single-cell RNA-Seq data from the Python programming environment. Bioinformatics. 37(21). 3961–3963. 1 indexed citations

Kotliar, Dylan, Adrian Veres, M. Aurel Nagy, et al.. (2019). Identifying gene expression programs of cell-type identity and cellular activity with single-cell RNA-Seq. eLife. 8. 221 indexed citations

Reshef, Yakir, Hilary K. Finucane, David R. Kelley, et al.. (2018). Detecting genome-wide directional effects of transcription factor binding on polygenic disease risk. Nature Genetics. 50(10). 1483–1493. 38 indexed citations

Sakabe, Saori, Brian M. Sullivan, Jessica N. Hartnett, et al.. (2018). Analysis of CD8 ⁺ T cell response during the 2013–2016 Ebola epidemic in West Africa. Proceedings of the National Academy of Sciences. 115(32). E7578–E7586. 44 indexed citations

Tewhey, Ryan, Dylan Kotliar, Daniel Park, et al.. (2016). Direct Identification of Hundreds of Expression-Modulating Variants using a Multiplexed Reporter Assay. Cell. 165(6). 1519–1529. 297 indexed citations

Chen, Chen, Dylan Kotliar, & Brian C. Drolet. (2015). Medical education in the United States: do residents feel prepared?. Perspectives on Medical Education. 4(4). 181–185. 34 indexed citations

10.

Sanchez-Garcia, Félix, Patricia Villagrasa, Junji Matsui, et al.. (2014). Integration of Genomic Data Enables Selective Discovery of Breast Cancer Drivers. Cell. 159(6). 1461–1475. 71 indexed citations

11.

Wang, Lili, Dylan Kotliar, Jean Fan, et al.. (2014). Integrated Single-Cell Detection of Genotype and Phenotype in SF3B1-Mutated Chronic Lymphocytic Leukemia Cells. Blood. 124(21). 1943–1943. 1 indexed citations

12.

Wan, Youzhong, Angela N. Brooks, Lili Wang, et al.. (2013). SF3B1 Mutation Alters The Selection Of 3' RNA Splice Sites In Chronic Lymphocytic Leukemia. Blood. 122(21). 117–117. 1 indexed citations

13.

Landau, Dan‐Avi, Kendell Clement, Peter Boyle, et al.. (2013). Increased Local Disorder of DNA Methylation Forms the Basis of High Intra-Leukemic Epigenetic Heterogeneity and Enhances CLL Evolution. Blood. 122(21). 596–596. 3 indexed citations

14.

Kotliar, Dylan, Dan‐Avi Landau, Oren Litvin, et al.. (2013). Reconstructing a Genotype-Phenotype Map In Chronic Lymphocytic Leukemia. Blood. 122(21). 2857–2857. 1 indexed citations

15.

Akavia, Uri David, Oren Litvin, Jessica Kim, et al.. (2010). An Integrated Approach to Uncover Drivers of Cancer. Cell. 143(6). 1005–1017. 360 indexed citations

16.

Litvin, Oren, Jessica Kim, Eyal Mozes, et al.. (2009). Abstract B70: Conexic: A Bayesian framework to detect drivers and their function uncovers an endosomal signature in melanoma. Cancer Research. 69(23_Supplement). B70–B70. 2 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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