Rebecca Chapman

699 total citations
17 papers, 159 citations indexed

About

Rebecca Chapman is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rebecca Chapman has authored 17 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Genetics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rebecca Chapman's work include Glioma Diagnosis and Treatment (7 papers), Neuroscience and Neuropharmacology Research (4 papers) and Ion channel regulation and function (3 papers). Rebecca Chapman is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Neuroscience and Neuropharmacology Research (4 papers) and Ion channel regulation and function (3 papers). Rebecca Chapman collaborates with scholars based in United Kingdom, United States and Germany. Rebecca Chapman's co-authors include Keith T. Sillar, Richard G. Grundy, Hazel Rogers, Simon Paine, Timothy Ritzmann, David W. Ellison, Thomas S. Jacques, Lisa Storer, John‐Paul Kilday and Andrew M. Donson and has published in prestigious journals such as Nucleic Acids Research, The Journal of Physiology and Clinical Cancer Research.

In The Last Decade

Rebecca Chapman

17 papers receiving 159 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rebecca Chapman United Kingdom	9	72	70	29	27	26	17	159
Ricardo Romero‐Guevara Italy	9	51 0.7×	145 2.1×	61 2.1×	14 0.5×	13 0.5×	10	229
Emily Bonkowski United States	4	29 0.4×	118 1.7×	37 1.3×	37 1.4×	8 0.3×	11	277
Xianli Shen United States	8	27 0.4×	94 1.3×	11 0.4×	21 0.8×	11 0.4×	10	255
Simon Picker United Kingdom	6	78 1.1×	181 2.6×	44 1.5×	53 2.0×	18 0.7×	6	414
Jason Correia New Zealand	7	26 0.4×	26 0.4×	58 2.0×	50 1.9×	21 0.8×	21	191
Marius Kuhn Germany	10	37 0.5×	107 1.5×	14 0.5×	50 1.9×	15 0.6×	16	207
Anika Bongaarts Netherlands	7	43 0.6×	74 1.1×	29 1.0×	52 1.9×	4 0.2×	7	203
Malavika Hebbar India	9	28 0.4×	207 3.0×	15 0.5×	28 1.0×	22 0.8×	19	290
Valentina Melzi Italy	7	64 0.9×	136 1.9×	74 2.6×	27 1.0×	7 0.3×	14	211
Daliya Kancheva Belgium	9	25 0.3×	102 1.5×	17 0.6×	38 1.4×	5 0.2×	14	269

Countries citing papers authored by Rebecca Chapman

Since Specialization

Citations

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

Fields of papers citing papers by Rebecca Chapman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Chapman

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

All Works

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17 of 17 papers shown

Chapman, Rebecca, et al.. (2024). Clinical trial designs and endpoints. Handbook of clinical neurology. 205. 123–134. 1 indexed citations

Griesinger, Andrea M., Andrew M. Donson, Eric Prince, et al.. (2023). Multi-omic approach identifies hypoxic tumor-associated myeloid cells that drive immunobiology of high-risk pediatric ependymoma. iScience. 26(9). 107585–107585. 7 indexed citations

Ritzmann, Timothy, Rebecca Chapman, John‐Paul Kilday, et al.. (2022). SIOP Ependymoma I: Final results, long-term follow-up, and molecular analysis of the trial cohort—A BIOMECA Consortium Study. Neuro-Oncology. 24(6). 936–948. 23 indexed citations

Griesinger, Andrea M., Andrew M. Donson, Simon Paine, et al.. (2022). IMMU-10. TUMOR ASSOCIATED MYELOID CELLS DRIVE THE IMMUNOBIOLOGY OF HIGH RISK PEDIATRIC EPENDYMOMA. Neuro-Oncology. 24(Supplement_1). i83–i83. 1 indexed citations

Chapman, Rebecca, Lisa Storer, Li Luo, et al.. (2021). Integrative molecular characterization of pediatric spinal ependymoma: the UK Children’s Cancer and Leukaemia Group study. Neuro-Oncology Advances. 3(1). vdab043–vdab043. 7 indexed citations

Ritzmann, Timothy, Rebecca Chapman, Donald Macarthur, et al.. (2021). EPEN-04. SIOP EPENDYMOMA I: FINAL RESULTS, LONG TERM FOLLOW-UP AND MOLECULAR ANALYSIS OF THE TRIAL COHORT: A BIOMECA CONSORTIUM STUDY. Neuro-Oncology. 23(Supplement_1). i14–i14. 1 indexed citations

Macarthur, Donald, Conor Mallucci, Ian Kamaly-Asl, et al.. (2020). EPEN-24. SIOP EPENDYMOMA II: CENTRAL EPENDYMOMA MANAGEMENT ADVISORY GROUP – THE UK EXPERIENCE. Neuro-Oncology. 22(Supplement_3). iii312–iii312. 1 indexed citations

Ritzmann, Timothy, Hazel Rogers, Simon Paine, et al.. (2020). A retrospective analysis of recurrent pediatric ependymoma reveals extremely poor survival and ineffectiveness of current treatments across central nervous system locations and molecular subgroups. Pediatric Blood & Cancer. 67(9). e28426–e28426. 27 indexed citations

Rogers, Hazel, Rebecca Chapman, Julie Allard, et al.. (2018). Limitations of current in vitro models for testing the clinical potential of epigenetic inhibitors for treatment of pediatric ependymoma. Oncotarget. 9(92). 36530–36541. 6 indexed citations

10.

Rogers, Hazel, et al.. (2013). PI3K Pathway Activation Provides a Novel Therapeutic Target for Pediatric Ependymoma and Is an Independent Marker of Progression-Free Survival. Clinical Cancer Research. 19(23). 6450–6460. 14 indexed citations

11.

Chapman, Rebecca, et al.. (2012). Localization of neurones expressing the gap junction protein Connexin45 within the adult spinal dorsal horn: a study using Cx45-eGFP reporter mice. Brain Structure and Function. 218(3). 751–765. 12 indexed citations

12.

Nowak, Anna K., Rebecca Chapman, Yojiro Yanagawa, et al.. (2011). Kv3.1b and Kv3.3 channel subunit expression in murine spinal dorsal horn GABAergic interneurones. Journal of Chemical Neuroanatomy. 42(1). 30–38. 11 indexed citations

13.

Chapman, Rebecca, et al.. (2009). Network‐based activity induced by 4‐aminopyridine in rat dorsal horn in vitro is mediated by both chemical and electrical synapses. The Journal of Physiology. 587(11). 2499–2510. 13 indexed citations

14.

Chapman, Rebecca, et al.. (2008). Group I mGluRs increase locomotor network excitability in Xenopus tadpoles via presynaptic inhibition of glycinergic neurotransmission. European Journal of Neuroscience. 28(5). 903–913. 9 indexed citations

15.

Chapman, Rebecca & Keith T. Sillar. (2007). Modulation of a spinal locomotor network by metabotropic glutamate receptors. European Journal of Neuroscience. 26(8). 2257–2268. 12 indexed citations

16.

Erwin, Tim, Erica Jewell, Christopher G. Love, et al.. (2006). BASC: an integrated bioinformatics system for Brassica research. Nucleic Acids Research. 35(Database). D870–D873. 12 indexed citations

17.

Stanley, Richard P., et al.. (2000). Pairs with Equal Squares: 10654. American Mathematical Monthly. 107(4). 368–368. 2 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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