Trevor Chapman

2.3k total citations
10 papers, 340 citations indexed

About

Trevor Chapman is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Trevor Chapman has authored 10 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Physiology. Recurrent topics in Trevor Chapman's work include Alzheimer's disease research and treatments (3 papers), interferon and immune responses (2 papers) and Ubiquitin and proteasome pathways (2 papers). Trevor Chapman is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), interferon and immune responses (2 papers) and Ubiquitin and proteasome pathways (2 papers). Trevor Chapman collaborates with scholars based in United Kingdom, Trinidad and Tobago and France. Trevor Chapman's co-authors include Rab K. Prinjha, Zuni I. Bassi, David F. Tough, Robert K. Poole, Peter A. Chalk, Céline Gongora, P. G. Humphreys, Ian Churcher, R.J. Miles and Lauren Davis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Trevor Chapman

10 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Trevor Chapman United Kingdom	9	234	62	50	43	43	10	340
Robert W. Button United Kingdom	8	190 0.8×	28 0.5×	32 0.6×	6 0.1×	44 1.0×	12	407
Sven Jähnichen Germany	6	182 0.8×	62 1.0×	75 1.5×	8 0.2×	38 0.9×	7	369
Wiebke Haeusgen Germany	9	194 0.8×	34 0.5×	49 1.0×	8 0.2×	16 0.4×	11	316
Chunxia Qiao China	12	162 0.7×	86 1.4×	96 1.9×	9 0.2×	16 0.4×	53	371
Rutul R. Shah United States	7	141 0.6×	174 2.8×	72 1.4×	62 1.4×	9 0.2×	17	381
Suk-Youl Park South Korea	5	271 1.2×	59 1.0×	28 0.6×	8 0.2×	22 0.5×	7	352
Helena Raquel Portugal	8	117 0.5×	71 1.1×	135 2.7×	26 0.6×	26 0.6×	13	356
Georgy B. Telegin Russia	10	172 0.7×	26 0.4×	128 2.6×	20 0.5×	69 1.6×	11	407
Alessia Romano Italy	10	183 0.8×	19 0.3×	22 0.4×	8 0.2×	19 0.4×	15	289

Countries citing papers authored by Trevor Chapman

Since Specialization

Citations

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

Fields of papers citing papers by Trevor Chapman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trevor Chapman

This figure shows the co-authorship network connecting the top 25 collaborators of Trevor Chapman. A scholar is included among the top collaborators of Trevor 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 Trevor Chapman. Trevor 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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10 of 10 papers shown

Bassi, Zuni I., Afjal H. Miah, Trevor Chapman, et al.. (2018). Modulating PCAF/GCN5 Immune Cell Function through a PROTAC Approach. ACS Chemical Biology. 13(10). 2862–2867. 121 indexed citations

Yoshida, Hideyuki, Kushagra Bansal, Uwe Schaefer, et al.. (2015). Brd4 bridges the transcriptional regulators, Aire and P-TEFb, to promote elongation of peripheral-tissue antigen transcripts in thymic stromal cells. Proceedings of the National Academy of Sciences. 112(32). E4448–57. 47 indexed citations

Howlett, David, Simon T. Bate, Sarah A. Collier, et al.. (2011). Characterisation of amyloid-induced inflammatory responses in the rat retina. Experimental Brain Research. 214(2). 185–197. 22 indexed citations

Hawkins, Julie A., David C. Harrison, Robert P. Davis, et al.. (2011). Dynamics of Aβ42 Reduction in Plasma, CSF and Brain of Rats Treated with the γ-Secretase Modulator, GSM-10h. Neurodegenerative Diseases. 8(6). 455–464. 25 indexed citations

Hussain, Ishrut, David C. Harrison, Julie A. Hawkins, et al.. (2010). TASTPM Mice Expressing Amyloid Precursor Protein and Presenilin-1 Mutant Transgenes Are Sensitive to γ-Secretase Modulation and Amyloid-β<sub>42</sub> Lowering by GSM-10h. Neurodegenerative Diseases. 8(1-2). 15–24. 16 indexed citations

Daniels, Dion A., et al.. (2006). In vitro selection of RNA aptamers that block CCL1 chemokine function. Biochemical and Biophysical Research Communications. 349(1). 270–276. 10 indexed citations

Daniels, Dion A., David P. Andrew, Trevor Chapman, et al.. (2005). Identification of Potent and Selective RNA Antagonists of the IFN-γ-Inducible CXCL10 Chemokine. Biochemistry. 44(23). 8449–8460. 20 indexed citations

Rhodes, Andrew, et al.. (2001). The generation and characterisation of antagonist RNA aptamers to MCP‐1. FEBS Letters. 506(2). 85–90. 32 indexed citations

Chapman, Trevor, et al.. (1996). The respiratory chain ofHelicobacter pylori: identification of cytochromes and the effects of oxygen on cytochrome and menaquinone levels. FEMS Microbiology Letters. 138(1). 59–64. 40 indexed citations

10.

Chapman, Trevor. (1963). Passion fruit growing in Kenya. Economic Botany. 17(3). 165–168. 7 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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