Daniel A. Patten

1.5k total citations
35 papers, 1.1k citations indexed

About

Daniel A. Patten is a scholar working on Immunology, Hepatology and Epidemiology. According to data from OpenAlex, Daniel A. Patten has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 11 papers in Hepatology and 7 papers in Epidemiology. Recurrent topics in Daniel A. Patten's work include Liver physiology and pathology (6 papers), Immune cells in cancer (6 papers) and Liver Diseases and Immunity (4 papers). Daniel A. Patten is often cited by papers focused on Liver physiology and pathology (6 papers), Immune cells in cancer (6 papers) and Liver Diseases and Immunity (4 papers). Daniel A. Patten collaborates with scholars based in United Kingdom, Finland and United States. Daniel A. Patten's co-authors include Shishir Shetty, Andrew P. Laws, Matthew Hoare, Masashi Narita, Andrew Collett, Chris J. Weston, Nicholas J. Matheson, William Howat, Kosuke Tomimatsu and Tae-Won Kang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.

In The Last Decade

Daniel A. Patten

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel A. Patten United Kingdom 16 467 335 316 168 122 35 1.1k
Jamma Trinath India 12 752 1.6× 381 1.1× 144 0.5× 226 1.3× 88 0.7× 26 1.5k
H. Atakan Ekiz United States 19 553 1.2× 317 0.9× 170 0.5× 123 0.7× 31 0.3× 38 1.0k
Theodor Kudlich Germany 12 207 0.4× 146 0.4× 101 0.3× 283 1.7× 88 0.7× 23 806
Myoung-Kuk Jang South Korea 9 708 1.5× 228 0.7× 148 0.5× 454 2.7× 245 2.0× 14 1.2k
Françoise Gaudin France 19 474 1.0× 341 1.0× 100 0.3× 360 2.1× 83 0.7× 24 1.3k
D Ortiz‐Masiá Spain 22 780 1.7× 376 1.1× 97 0.3× 219 1.3× 26 0.2× 44 1.6k
Leonel Joannas United States 14 489 1.0× 699 2.1× 228 0.7× 150 0.9× 42 0.3× 19 1.2k
Chuansheng Guo China 7 691 1.5× 405 1.2× 92 0.3× 190 1.1× 64 0.5× 7 1.1k
Hyunji Ryu United States 12 650 1.4× 369 1.1× 168 0.5× 98 0.6× 16 0.1× 15 1.3k

Countries citing papers authored by Daniel A. Patten

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Patten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel A. Patten

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Patten. A scholar is included among the top collaborators of Daniel A. Patten 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 A. Patten. Daniel A. Patten 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.
Prince, Stuart, Miro Viitala, Jenna H. Rannikko, et al.. (2025). Secreted Clever-1 modulates T cell responses and impacts cancer immunotherapy efficacy. Theranostics. 15(15). 7501–7527. 3 indexed citations
2.
Lewis, Jonathan W., Daniel A. Patten, Shishir Shetty, et al.. (2025). Differential expression of endothelial derived galectins in response to shear stress. Experimental Cell Research. 447(2). 114521–114521. 1 indexed citations
3.
Davies, Scott, Vincenzo Ronca, Rémi Fiancette, et al.. (2024). Expression of E-cadherin by CD8+ T cells promotes their invasion into biliary epithelial cells. Nature Communications. 15(1). 853–853. 10 indexed citations
4.
Horn, Paul, Emma L. Shepherd, Kelvin Yin, et al.. (2023). The senescent secretome drives PLVAP expression in cultured human hepatic endothelial cells to promote monocyte transmigration. iScience. 26(10). 107966–107966. 3 indexed citations
5.
Yin, Kelvin, Daniel A. Patten, Adelyne Chan, et al.. (2022). Senescence-induced endothelial phenotypes underpin immune-mediated senescence surveillance. Genes & Development. 36(9-10). 533–549. 44 indexed citations
6.
Owen, Andrew, Daniel A. Patten, Vasanthy Vigneswara, Jon Frampton, & Philip N. Newsome. (2022). PDGFRα/Sca-1 Sorted Mesenchymal Stromal Cells Reduce Liver Injury in Murine Models of Hepatic Ischemia-Reperfusion Injury. Stem Cells. 40(11). 1056–1070. 4 indexed citations
7.
Zaki, Marco Y. W., et al.. (2021). A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma. Journal of Visualized Experiments. 1 indexed citations
8.
Zaki, Marco Y. W., et al.. (2021). A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma. Journal of Visualized Experiments. 3 indexed citations
9.
Patten, Daniel A., et al.. (2021). Covid-19: Use social media to maximise vaccine confidence and uptake. BMJ. 372. n225–n225. 5 indexed citations
10.
Chauhan, Abhishek, Lozan Sheriff, Mohammed T. Hussain, et al.. (2020). The platelet receptor CLEC-2 blocks neutrophil mediated hepatic recovery in acetaminophen induced acute liver failure. Nature Communications. 11(1). 1939–1939. 61 indexed citations
11.
Patten, Daniel A., et al.. (2020). Prognostic Value and Potential Immunoregulatory Role of SCARF1 in Hepatocellular Carcinoma. Frontiers in Oncology. 10. 565950–565950. 10 indexed citations
12.
Patten, Daniel A. & Shishir Shetty. (2019). The Role of Stabilin-1 in Lymphocyte Trafficking and Macrophage Scavenging in the Liver Microenvironment. Biomolecules. 9(7). 283–283. 17 indexed citations
13.
Patten, Daniel A. & Shishir Shetty. (2018). More Than Just a Removal Service: Scavenger Receptors in Leukocyte Trafficking. Frontiers in Immunology. 9. 2904–2904. 30 indexed citations
14.
Patten, Daniel A.. (2018). SCARF1: a multifaceted, yet largely understudied, scavenger receptor. Inflammation Research. 67(8). 627–632. 32 indexed citations
15.
Thrush, A. Brianne, Gamil R. Antoun, Majid Nikpay, et al.. (2017). Diet-resistant obesity is characterized by a distinct plasma proteomic signature and impaired muscle fiber metabolism. International Journal of Obesity. 42(3). 353–362. 15 indexed citations
16.
Patten, Daniel A., et al.. (2017). Commensal-derived OMVs elicit a mild proinflammatory response in intestinal epithelial cells. Microbiology. 163(5). 702–711. 38 indexed citations
17.
Hoare, Matthew, Yoko Itō, Tae-Won Kang, et al.. (2016). NOTCH1 mediates a switch between two distinct secretomes during senescence. Nature Cell Biology. 18(9). 979–992. 366 indexed citations
18.
Patten, Daniel A., Garrick K. Wilson, Dalan Bailey, et al.. (2016). Human liver sinusoidal endothelial cells promote intracellular crawling of lymphocytes during recruitment. Hepatology. 65(1). 294–309. 37 indexed citations
19.
20.
Patten, Daniel A. & Andrew Collett. (2013). Exploring the immunomodulatory potential of microbial-associated molecular patterns derived from the enteric bacterial microbiota. Microbiology. 159(Pt_8). 1535–1544. 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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