Dylan Skola

2.3k total citations · 1 hit paper
10 papers, 1.1k citations indexed

About

Dylan Skola is a scholar working on Immunology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dylan Skola has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dylan Skola's work include Immune cells in cancer (6 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Nuclear Receptors and Signaling (2 papers). Dylan Skola is often cited by papers focused on Immune cells in cancer (6 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Nuclear Receptors and Signaling (2 papers). Dylan Skola collaborates with scholars based in United States, Netherlands and United Kingdom. Dylan Skola's co-authors include Christopher K. Glass, Inge R. Holtman, Carolyn O’Connor, David Gosselin, Michael L. Levy, David Gonda, Richard M. Ransohoff, Amy Adair, Conor Fitzpatrick and Nicole G. Coufal and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Dylan Skola

10 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An environment-dependent transcriptional network specifies human microglia identity

2017 795 citations David Gosselin, Dylan Skola et al. Science profile →

Peers

Dylan Skola

NEURO

IMMUN

MB

PHYSI

DN

Enikö Sajti United States

Li-chong Wang United States

Hannah Van Hove Belgium

Kathleen Grabert Sweden

Amy Adair Australia

Zuolin Cheng United States

Simone Wörtge Germany

Jessica L. Larson United States

Leen Wolfs United Kingdom

Seung-Hye Lee United States

Enikö Sajti United States

Dylan Skola

622 ×0.9

NEURO

480 ×1.0

IMMUN

278 ×0.8

MB

188 ×1.0

PHYSI

109 ×1.0

DN

Citations per year, relative to Dylan Skola Dylan Skola (= 1×) peers Enikö Sajti

Countries citing papers authored by Dylan Skola

Since Specialization

Citations

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

Fields of papers citing papers by Dylan Skola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dylan Skola

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

All Works

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10 of 10 papers shown

1.

Robinson, Amy, Matthew Burgess, Sheila Webb, et al.. (2022). Systemic Influences of Mammary Cancer on Monocytes in Mice. Cancers. 14(3). 833–833. 7 indexed citations

2.

Tsui, Brian, Shamim Mollah, Dylan Skola, et al.. (2021). Increasing metadata coverage of SRA BioSample entries using deep learning–based named entity recognition. Database. 2021. 12 indexed citations

3.

Joshi, Shweta, Kevin X. Liu, Muamera Zulcic, et al.. (2020). Macrophage Syk–PI3Kγ Inhibits Antitumor Immunity: SRX3207, a Novel Dual Syk–PI3K Inhibitory Chemotype Relieves Tumor Immunosuppression. Molecular Cancer Therapeutics. 19(3). 755–764. 28 indexed citations

4.

Joshi, Shweta, Alok R. Singh, Kevin X. Liu, et al.. (2019). SF2523: Dual PI3K/BRD4 Inhibitor Blocks Tumor Immunosuppression and Promotes Adaptive Immune Responses in Cancer. Molecular Cancer Therapeutics. 18(6). 1036–1044. 41 indexed citations

5.

Robinson, Amy, et al.. (2018). 31. Transcriptional alterations to blood monocytes in breast cancer reveal down regulation of anti-cancer pathways. Cancer Genetics. 226-227. 47–48. 1 indexed citations

6.

Tsui, Brian, Michelle T. Dow, Dylan Skola, & Hannah Carter. (2018). Extracting allelic read counts from 250,000 human sequencing runs in Sequence Read Archive. PubMed. 24. 196–207. 4 indexed citations

7.

Gosselin, David, Dylan Skola, Nicole G. Coufal, et al.. (2017). An environment-dependent transcriptional network specifies human microglia identity. Science. 356(6344). 795 indexed citations breakdown →

8.

Holtman, Inge R., Dylan Skola, & Christopher K. Glass. (2017). Transcriptional control of microglia phenotypes in health and disease. Journal of Clinical Investigation. 127(9). 3220–3229. 136 indexed citations

9.

Wang, Jianxun, Kaoru Saijo, Dylan Skola, et al.. (2017). Histone demethylase LSD1 regulates hematopoietic stem cells homeostasis and protects from death by endotoxic shock. Proceedings of the National Academy of Sciences. 115(2). E244–E252. 31 indexed citations

10.

Carvunis, Anne‐Ruxandra, Tina Wang, Dylan Skola, et al.. (2015). Evidence for a common evolutionary rate in metazoan transcriptional networks. eLife. 4. 22 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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