Daniel Hicks

2.6k total citations · 1 hit paper
45 papers, 2.0k citations indexed

About

Daniel Hicks is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Daniel Hicks has authored 45 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 13 papers in Virology and 12 papers in Epidemiology. Recurrent topics in Daniel Hicks's work include Rabies epidemiology and control (13 papers), Microbial infections and disease research (8 papers) and Animal Virus Infections Studies (6 papers). Daniel Hicks is often cited by papers focused on Rabies epidemiology and control (13 papers), Microbial infections and disease research (8 papers) and Animal Virus Infections Studies (6 papers). Daniel Hicks collaborates with scholars based in United Kingdom, United States and Germany. Daniel Hicks's co-authors include Monica Miele, J.-H. Lee, Bernard E. Weissman, Danny R. Welch, Karen Phillips, Jeffrey M. Trent, C Paraskeva, Angela Hague, Nicholas Johnson and Anthony R. Fooks and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Oncogene and Scientific Reports.

In The Last Decade

Daniel Hicks

42 papers receiving 2.0k citations

Hit Papers

KiSS-1, a Novel Human Malignant Melanoma Metastasis-Suppr... 1996 2026 2006 2016 1996 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Hicks United Kingdom 20 808 583 437 321 315 45 2.0k
Catherine Robert France 16 618 0.8× 140 0.2× 234 0.5× 121 0.4× 139 0.4× 21 1.5k
Eva Sapi United States 27 806 1.0× 232 0.4× 250 0.6× 82 0.3× 398 1.3× 58 2.2k
Ralf Schülein Germany 32 1.5k 1.9× 82 0.1× 332 0.8× 113 0.4× 351 1.1× 77 3.0k
Xiaomei Tong China 25 1.2k 1.4× 388 0.7× 114 0.3× 347 1.1× 267 0.8× 117 2.5k
Yoshie Yoshikawa Japan 20 472 0.6× 67 0.1× 164 0.4× 357 1.1× 168 0.5× 64 1.4k
Ande West United States 17 790 1.0× 133 0.2× 1.0k 2.3× 233 0.7× 248 0.8× 28 2.0k
Yuko Sakai Japan 30 1.0k 1.2× 37 0.1× 662 1.5× 1.3k 4.1× 460 1.5× 68 3.1k
Barbara A. Torres United States 27 661 0.8× 40 0.1× 108 0.2× 242 0.8× 204 0.6× 53 2.5k
Ignacio Caballero Spain 27 432 0.5× 799 1.4× 201 0.5× 152 0.5× 306 1.0× 67 1.9k
Thorsten Klamp Germany 11 745 0.9× 36 0.1× 270 0.6× 498 1.6× 182 0.6× 13 3.0k

Countries citing papers authored by Daniel Hicks

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hicks

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Hicks. A scholar is included among the top collaborators of Daniel Hicks 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 Hicks. Daniel Hicks 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
2.
Onozato, Maristela L., A. John Iafrate, Daniel Hicks, et al.. (2024). ERBB2/HOXB13 co-amplification with interstitial loss of BRCA1 defines a unique subset of breast cancers. Breast Cancer Research. 26(1). 185–185. 1 indexed citations
3.
Ramchand, Rajeev, et al.. (2023). Syndromic Surveillance 2.0: Emerging Global Surveillance Strategies for Infectious Disease Epidemics. RAND Corporation eBooks. 11(1). 8–8. 1 indexed citations
4.
Folly, Arran J., Luis M. Hernández‐Triana, Fabian Z. X. Lean, et al.. (2021). Temperate conditions restrict Japanese encephalitis virus infection to the mid-gut and prevents systemic dissemination in Culex pipiens mosquitoes. Scientific Reports. 11(1). 6133–6133. 29 indexed citations
5.
Sánchez‐Cordón, Pedro J., T. Floyd, Daniel Hicks, et al.. (2021). Evaluation of Lesions and Viral Antigen Distribution in Domestic Pigs Inoculated Intranasally with African Swine Fever Virus Ken05/Tk1 (Genotype X). Pathogens. 10(6). 768–768. 15 indexed citations
6.
Spiropoulos, John, P.J. Sánchez-Cordón, Daniel Hicks, et al.. (2020). The effect of BCG vaccination on macrophage phenotype in a mouse model of intranasal Mycobacterium bovis challenge. Vaccine. 38(30). 4755–4761. 2 indexed citations
7.
Slomka, Marek J., Amanda H. Seekings, Sahar Mahmood, et al.. (2018). Unexpected infection outcomes of China-origin H7N9 low pathogenicity avian influenza virus in turkeys. Scientific Reports. 8(1). 7322–7322. 23 indexed citations
8.
Beck, Samuel J., Daniel L. Horton, Daniel Hicks, et al.. (2017). Pathobiological investigation of naturally infected canine rabies cases from Sri Lanka. BMC Veterinary Research. 13(1). 99–99. 10 indexed citations
9.
Lawson, Becki, Akbar Dastjerdi, David J. Everest, et al.. (2015). Mortality associated with avian reovirus infection in a free-living magpie (Pica pica) in Great Britain. BMC Veterinary Research. 11(1). 20–20. 15 indexed citations
10.
Banyard, Ashley C., et al.. (2014). Lyssavirus infection: ‘Low dose, multiple exposure’ in the mouse model. Virus Research. 181. 35–42. 8 indexed citations
11.
Johnson, Nicholas, Sharon M. Brookes, Y. I. Spencer, et al.. (2011). Pathology Associated with a Human Case of Rabies in the United Kingdom Caused by European Bat Lyssavirus Type-2. Intervirology. 55(5). 391–394. 2 indexed citations
13.
Fooks, Anthony R., Nicholas Johnson, Thomas Müller, et al.. (2009). Detection of High Levels of European Bat Lyssavirus Type‐1 Viral RNA in the Thyroid Gland of Experimentally‐Infected Eptesicus fuscus Bats. Zoonoses and Public Health. 56(6-7). 270–277. 8 indexed citations
14.
Moore, Alice E., Alexander Greenhough, H R Roberts, et al.. (2009). HGF/Met signalling promotes PGE2 biogenesis via regulation of COX-2 and 15-PGDH expression in colorectal cancer cells. Carcinogenesis. 30(10). 1796–1804. 48 indexed citations
16.
Wangoo, A, Linda K. Johnson, Julie E. Gough, et al.. (2005). Advanced Granulomatous Lesions in Mycobacterium bovis-infected Cattle are Associated with Increased Expression of Type I Procollagen, γδ (WC1+) T Cells and CD 68+ Cells. Journal of Comparative Pathology. 133(4). 223–234. 150 indexed citations
17.
Grierson, Sylvia S., Donald P. King, T. Sandvik, et al.. (2004). Detection and genetic typing of type 2 porcine circoviruses in archived pig tissues from the UK. Archives of Virology. 149(6). 1171–1183. 47 indexed citations
18.
Smartt, Helena J.M., Douglas J.E. Elder, Daniel Hicks, Neil Williams, & Christos Paraskeva. (2003). Increased NF-κB DNA binding but not transcriptional activity during apoptosis induced by the COX-2-selective inhibitor NS-398 in colorectal carcinoma cells. British Journal of Cancer. 89(7). 1358–1365. 18 indexed citations
20.
Lee, J.-H., Monica Miele, Daniel Hicks, et al.. (1996). KiSS-1, a Novel Human Malignant Melanoma Metastasis-Suppressor Gene. JNCI Journal of the National Cancer Institute. 88(23). 1731–1737. 831 indexed citations breakdown →

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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