Julian Board

1.3k total citations · 1 hit paper
7 papers, 961 citations indexed

About

Julian Board is a scholar working on Neurology, Oncology and Cancer Research. According to data from OpenAlex, Julian Board has authored 7 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Julian Board's work include Neuroblastoma Research and Treatments (5 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Virus-based gene therapy research (2 papers). Julian Board is often cited by papers focused on Neuroblastoma Research and Treatments (5 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Virus-based gene therapy research (2 papers). Julian Board collaborates with scholars based in United Kingdom, United States and Netherlands. Julian Board's co-authors include Jim Rutka, Abhijit Guha, Christine Fuller, Tobey J. MacDonald, Susan Magdaleno, Helen Poppleton, Patricia Jensen, Michael D. Taylor, Richard J. Gilbertson and Amar Gajjar and has published in prestigious journals such as Cancer Cell, Cancer and Clinical Cancer Research.

In The Last Decade

Julian Board

7 papers receiving 948 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.

Radial glia cells are candidate stem cells of ependymoma

2005 579 citations Michael D. Taylor, Helen Poppleton et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julian Board United Kingdom	7	494	404	322	284	258	7	961
Pilar González‐Gómez Spain	21	770 1.6×	286 0.7×	233 0.7×	196 0.7×	216 0.8×	32	1.1k
Karisa C. Schreck United States	16	946 1.9×	505 1.3×	140 0.4×	418 1.5×	290 1.1×	55	1.4k
Arjan Lakeman Netherlands	9	728 1.5×	287 0.7×	322 1.0×	178 0.6×	254 1.0×	9	1.1k
Nancy E. Hasselt Netherlands	7	761 1.5×	352 0.9×	298 0.9×	161 0.6×	293 1.1×	7	1.0k
Pascal Leuraud France	13	333 0.7×	415 1.0×	113 0.4×	106 0.4×	262 1.0×	14	701
Francisco J. Cordero United States	7	936 1.9×	619 1.5×	233 0.7×	152 0.5×	218 0.8×	9	1.3k
Dorota Denkhaus Germany	13	820 1.7×	293 0.7×	129 0.4×	184 0.6×	147 0.6×	19	1.1k
Martyna Adamowicz‐Brice United Kingdom	6	485 1.0×	446 1.1×	209 0.6×	137 0.5×	188 0.7×	7	826
Michal Yalon Israel	18	451 0.9×	302 0.7×	228 0.7×	157 0.6×	254 1.0×	43	945
Ivan Radovanovic Switzerland	6	892 1.8×	282 0.7×	73 0.2×	565 2.0×	242 0.9×	10	1.3k

Countries citing papers authored by Julian Board

Since Specialization

Citations

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

Fields of papers citing papers by Julian Board

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Board

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Carr‐Wilkinson, Jane, K O’Toole, Katrina Wood, et al.. (2010). High Frequency of p53/MDM2/p14ARF Pathway Abnormalities in Relapsed Neuroblastoma. Clinical Cancer Research. 16(4). 1108–1118. 124 indexed citations

2.

Taylor, Michael D., Helen Poppleton, Christine Fuller, et al.. (2006). Radial glia cells are candidate stem cells of ependymoma. Cancer Cell. 9(1). 70–70. 8 indexed citations

3.

Taylor, Michael D., Helen Poppleton, Christine Fuller, et al.. (2005). Radial glia cells are candidate stem cells of ependymoma. Cancer Cell. 8(4). 323–335. 579 indexed citations breakdown →

4.

Tornóczky, Tamás, Endre Kálmán, P. Kajtár, et al.. (2004). Large cell neuroblastoma. Cancer. 100(2). 390–397. 26 indexed citations

5.

Board, Julian, et al.. (2003). The neuroblastoma amplified gene, NAG : genomic structure and characterisation of the 7.3 kb transcript predominantly expressed in neuroblastoma. Gene. 307. 1–11. 24 indexed citations

6.

Carlin, Sean, A. McCluskey, Deborah A. Tweddle, et al.. (2003). Development of a real-time polymerase chain reaction assay for prediction of the uptake of meta-[(131)I]iodobenzylguanidine by neuroblastoma tumors.. PubMed. 9(9). 3338–44. 43 indexed citations

7.

Preter, Katleen De, Frank Speleman, Valérie Combaret, et al.. (2002). Quantification of MYCN, DDX1, and NAG Gene Copy Number in Neuroblastoma Using a Real-Time Quantitative PCR Assay. Modern Pathology. 15(2). 159–166. 157 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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