Harry Clifford

434 total citations
12 papers, 247 citations indexed

About

Harry Clifford is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Harry Clifford has authored 12 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Harry Clifford's work include Cancer Genomics and Diagnostics (6 papers), Epigenetics and DNA Methylation (4 papers) and Genomics and Rare Diseases (3 papers). Harry Clifford is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Epigenetics and DNA Methylation (4 papers) and Genomics and Rare Diseases (3 papers). Harry Clifford collaborates with scholars based in United Kingdom, United States and Kuwait. Harry Clifford's co-authors include Olivier Hanotte, Mary Mbole-Kariuki, Hussain Bahbahani, Curtis P. Van Tassell, David Wragg, Mark Woolhouse, Tad S. Sonstegard, Richard D. Emes, Frank Wessely and Wilfried Haerty and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Harry Clifford

11 papers receiving 241 citations

Peers

Harry Clifford

GENET

MB

CR

PHYSI

ONCOL

Scott Tabar United States

Ting-Hao Huang China

Huiming Ju China

Yiqi Wan China

Dongchan Yang South Korea

Oana Palasca Denmark

Randy L. Bogan United States

Takahiro Mimori Japan

Wei Xiang China

Zilin Li United States

Scott Tabar United States

Harry Clifford

36 ×0.4

GENET

160 ×1.9

MB

56 ×0.8

CR

18 ×0.8

PHYSI

25 ×1.2

ONCOL

Citations per year, relative to Harry Clifford Harry Clifford (= 1×) peers Scott Tabar

Countries citing papers authored by Harry Clifford

Since Specialization

Citations

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

Fields of papers citing papers by Harry Clifford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harry Clifford

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

All Works

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12 of 12 papers shown

1.

Akbar, Adnan, et al.. (2021). Identifying Cancer Drivers Using DRIVE: A Feature-Based Machine Learning Model for a Pan-Cancer Assessment of Somatic Missense Mutations. Cancers. 13(11). 2779–2779. 3 indexed citations

2.

Clifford, Harry, et al.. (2019). A gene expression signature in developing Purkinje cells predicts autism and intellectual disability co-morbidity status. Scientific Reports. 9(1). 485–485. 15 indexed citations

3.

Thompson, Joe Sneath, H. Dobson, Simon D. W. Frost, et al.. (2019). OncOS: Scalable and accurate next-generation sequencing analytics for precision oncology and personalized patient care. Annals of Oncology. 30. v583–v583.

4.

Parsons, Christopher, et al.. (2019). SomaticNET: Neural network evaluation of somatic mutations in cancer. Annals of Oncology. 30. v584–v584. 1 indexed citations

5.

Callari, Maurizio, Ankita Sati Batra, R.N. Batra, et al.. (2018). Computational approach to discriminate human and mouse sequences in patient-derived tumour xenografts. BMC Genomics. 19(1). 19–19. 32 indexed citations

6.

Chin, Suet‐Feung, Ángela Santonja, Marta Grzelak, et al.. (2018). Shallow whole genome sequencing for robust copy number profiling of formalin-fixed paraffin-embedded breast cancers. Experimental and Molecular Pathology. 104(3). 161–169. 23 indexed citations

7.

Clifford, Harry, et al.. (2016). Profiling lung adenocarcinoma by liquid biopsy: can one size fit all?. Cancer Nanotechnology. 7(1). 10–10. 3 indexed citations

8.

Boustany‐Kari, Carine M., Paul C. Harrison, Huimei Chen, et al.. (2016). A Soluble Guanylate Cyclase Activator Inhibits the Progression of Diabetic Nephropathy in the ZSF1 Rat. Journal of Pharmacology and Experimental Therapeutics. 356(3). 712–719. 46 indexed citations

9.

Patthey, Cédric, Harry Clifford, Wilfried Haerty, et al.. (2016). Identification of molecular signatures specific for distinct cranial sensory ganglia in the developing chick. Neural Development. 11(1). 3–3. 16 indexed citations

10.

Bahbahani, Hussain, Harry Clifford, David Wragg, et al.. (2015). Signatures of positive selection in East African Shorthorn Zebu: A genome-wide single nucleotide polymorphism analysis. Scientific Reports. 5(1). 11729–11729. 77 indexed citations

11.

Emes, Richard D., Harry Clifford, Kim E. Haworth, et al.. (2012). Antiepileptic drugs and the fetal epigenome. Epilepsia. 54(1). e16–9. 8 indexed citations

12.

Clifford, Harry, et al.. (2011). Comparison of Clustering Methods for Investigation of Genome-Wide Methylation Array Data. SHILAP Revista de lepidopterología. 2. 88–88. 23 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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