Daniel J. Slade

3.4k total citations · 1 hit paper
38 papers, 1.5k citations indexed

About

Daniel J. Slade is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Daniel J. Slade has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Immunology. Recurrent topics in Daniel J. Slade's work include Gut microbiota and health (10 papers), Streptococcal Infections and Treatments (5 papers) and Cell Adhesion Molecules Research (5 papers). Daniel J. Slade is often cited by papers focused on Gut microbiota and health (10 papers), Streptococcal Infections and Treatments (5 papers) and Cell Adhesion Molecules Research (5 papers). Daniel J. Slade collaborates with scholars based in United States, United Kingdom and Ireland. Daniel J. Slade's co-authors include Paul R. Thompson, Amanda Rohrbach, Kerri Mowen, Ariana Umaña, Venkataraman Subramanian, Scott S. Verbridge, Barath Udayasuryan, Christopher C. Yoo, Michael A. Casasanta and Blake E. Sanders and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Daniel J. Slade

37 papers receiving 1.5k citations

Hit Papers

Fusobacterium nucleatum host-cell binding and invasion in... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Slade United States 20 818 501 306 164 143 38 1.5k
Shie-Liang Hsieh Taiwan 20 742 0.9× 676 1.3× 177 0.6× 115 0.7× 155 1.1× 44 1.5k
Olivier Gasser New Zealand 18 870 1.1× 893 1.8× 174 0.6× 104 0.6× 224 1.6× 44 1.7k
Hidekazu Shirota Japan 27 556 0.7× 1.3k 2.6× 416 1.4× 110 0.7× 126 0.9× 82 2.0k
Ben Quah Australia 19 722 0.9× 1.0k 2.0× 237 0.8× 88 0.5× 174 1.2× 33 1.8k
Christine T. N. Pham United States 8 403 0.5× 748 1.5× 214 0.7× 80 0.5× 315 2.2× 11 1.5k
Junichiro Fujimoto Japan 28 858 1.0× 720 1.4× 397 1.3× 455 2.8× 99 0.7× 124 2.6k
Dominique Wachsmann France 26 676 0.8× 694 1.4× 183 0.6× 110 0.7× 455 3.2× 40 1.8k
Marcin Okrój Poland 22 394 0.5× 757 1.5× 158 0.5× 72 0.4× 90 0.6× 62 1.4k
Barbara Cassani Italy 25 957 1.2× 633 1.3× 506 1.7× 128 0.8× 115 0.8× 57 2.1k
Takuya Uehata Japan 17 976 1.2× 1.1k 2.2× 244 0.8× 110 0.7× 365 2.6× 26 2.0k

Countries citing papers authored by Daniel J. Slade

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Slade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Slade. 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 Daniel J. Slade. The network helps show where Daniel J. Slade may publish in the future.

Co-authorship network of co-authors of Daniel J. Slade

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

All Works

20 of 20 papers shown
1.
Heinz, Eva, et al.. (2025). Characterization of the OMP biogenesis machinery in Fusobacterium nucleatum. Structure. 33(11). 1878–1892.e5.
2.
Slade, Daniel J., et al.. (2024). Electro-antibacterial therapy (EAT) to enhance intracellular bacteria clearance in pancreatic cancer cells. Bioelectrochemistry. 157. 108669–108669. 4 indexed citations
3.
Duggan, William P., Ina Woods, Heiko Düßmann, et al.. (2024). Spatial transcriptomic analysis reveals local effects of intratumoral fusobacterial infection on DNA damage and immune signaling in rectal cancer. Gut Microbes. 16(1). 2350149–2350149. 5 indexed citations
4.
Sanders, Blake E., Ariana Umaña, Tam T. D. Nguyen, et al.. (2023). Type IV pili facilitated natural competence in Fusobacterium nucleatum. Anaerobe. 82. 102760–102760. 4 indexed citations
5.
Duggan, William P., Manuela Salvucci, Andreas U. Lindner, et al.. (2023). Increased Fusobacterium tumoural abundance affects immunogenicity in mucinous colorectal cancer and may be associated with improved clinical outcome. Journal of Molecular Medicine. 101(7). 829–841. 6 indexed citations
6.
Umaña, Ariana, et al.. (2022). Enhanced Fusobacterium nucleatum Genetics Using Host DNA Methyltransferases To Bypass Restriction-Modification Systems. Journal of Bacteriology. 204(12). e0027922–e0027922. 11 indexed citations
7.
Shhadeh, Amjad, Ariana Umaña, Christopher C. Yoo, et al.. (2021). Fusobacterium nucleatum CbpF Mediates Inhibition of T Cell Function Through CEACAM1 Activation. Frontiers in Cellular and Infection Microbiology. 11. 692544–692544. 45 indexed citations
8.
Shhadeh, Amjad, et al.. (2021). CEACAM1 Activation by CbpF-Expressing E. coli. Frontiers in Cellular and Infection Microbiology. 11. 699015–699015. 5 indexed citations
9.
Casasanta, Michael A., Christopher C. Yoo, Barath Udayasuryan, et al.. (2020). Fusobacterium nucleatum host-cell binding and invasion induces IL-8 and CXCL1 secretion that drives colorectal cancer cell migration. Science Signaling. 13(641). 227 indexed citations breakdown →
10.
Udayasuryan, Barath, Tam T. D. Nguyen, Daniel J. Slade, & Scott S. Verbridge. (2020). Harnessing Tissue Engineering Tools to Interrogate Host-Microbiota Crosstalk in Cancer. iScience. 23(12). 101878–101878. 9 indexed citations
11.
Slade, Daniel J.. (2020). New Roles for Fusobacterium nucleatum in Cancer: Target the Bacteria, Host, or Both?. Trends in cancer. 7(3). 185–187. 26 indexed citations
12.
Umaña, Ariana, Blake E. Sanders, Christopher C. Yoo, et al.. (2019). Utilizing Whole Fusobacterium Genomes To Identify, Correct, and Characterize Potential Virulence Protein Families. Journal of Bacteriology. 201(23). 32 indexed citations
13.
Todd, S. Michelle, Robert E. Settlage, Kevin K. Lahmers, & Daniel J. Slade. (2018). Fusobacterium Genomics Using MinION and Illumina Sequencing Enables Genome Completion and Correction. mSphere. 3(4). 20 indexed citations
14.
Sanders, Blake E., Ariana Umaña, Justin A. Lemkul, & Daniel J. Slade. (2018). FusoPortal: an Interactive Repository of Hybrid MinION-Sequenced Fusobacterium Genomes Improves Gene Identification and Characterization. mSphere. 3(4). 14 indexed citations
15.
Merino, Emilio F., Zhong‐Ke Yao, Rubayet Elahi, et al.. (2017). Biological Studies and Target Engagement of the 2-C-Methyl-d-Erythritol 4-Phosphate Cytidylyltransferase (IspD)-Targeting Antimalarial Agent (1R,3S)-MMV008138 and Analogs. ACS Infectious Diseases. 4(4). 549–559. 37 indexed citations
17.
Rothschild, Daniel E., Yao Zhang, Na Diao, et al.. (2016). Enhanced Mucosal Defense and Reduced Tumor Burden in Mice with the Compromised Negative Regulator IRAK-M. EBioMedicine. 15. 36–47. 19 indexed citations
18.
Slade, Daniel J., Venkataraman Subramanian, & Paul R. Thompson. (2014). Citrullination unravels stem cells. Nature Chemical Biology. 10(5). 327–328. 27 indexed citations
19.
Rohrbach, Amanda, Daniel J. Slade, Paul R. Thompson, & Kerri Mowen. (2012). Activation of PAD4 in NET formation. Frontiers in Immunology. 3. 360–360. 289 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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