Diane J. Sutcliffe

605 total citations
19 papers, 405 citations indexed

About

Diane J. Sutcliffe is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Diane J. Sutcliffe has authored 19 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Diane J. Sutcliffe's work include Biochemical and Molecular Research (9 papers), Cytomegalovirus and herpesvirus research (6 papers) and Angiogenesis and VEGF in Cancer (4 papers). Diane J. Sutcliffe is often cited by papers focused on Biochemical and Molecular Research (9 papers), Cytomegalovirus and herpesvirus research (6 papers) and Angiogenesis and VEGF in Cancer (4 papers). Diane J. Sutcliffe collaborates with scholars based in United States, Netherlands and Spain. Diane J. Sutcliffe's co-authors include Hyder A. Jinnah, W. Robert Taylor, Rong Fu, Sheng Tong, Don P. Giddens, Natalia Landázuri, Daiana Weiss, Giji Joseph, Gang Bao and Jin Suo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neurology and Annals of Neurology.

In The Last Decade

Diane J. Sutcliffe

18 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diane J. Sutcliffe United States 10 219 89 58 56 55 19 405
Yoshiko Fujimoto Japan 12 256 1.2× 98 1.1× 38 0.7× 25 0.4× 69 1.3× 38 596
Wenge Ding China 14 191 0.9× 68 0.8× 34 0.6× 25 0.4× 69 1.3× 23 514
Molly Stapleton United States 12 153 0.7× 187 2.1× 47 0.8× 20 0.4× 32 0.6× 19 600
Fatima Aerts‐Kaya Türkiye 10 137 0.6× 38 0.4× 91 1.6× 17 0.3× 76 1.4× 33 365
Marina Hovakimyan Germany 16 120 0.5× 53 0.6× 14 0.2× 35 0.6× 34 0.6× 23 562
Shun Xu China 14 504 2.3× 27 0.3× 23 0.4× 49 0.9× 48 0.9× 22 712
Jianmin Hu China 13 137 0.6× 154 1.7× 61 1.1× 12 0.2× 62 1.1× 34 468
Andrea Zito Italy 7 97 0.4× 36 0.4× 32 0.6× 18 0.3× 23 0.4× 12 390
Aurora Román-Domínguez Spain 9 239 1.1× 22 0.2× 78 1.3× 51 0.9× 54 1.0× 10 465
Melissa Chua United States 11 196 0.9× 28 0.3× 36 0.6× 115 2.1× 73 1.3× 39 595

Countries citing papers authored by Diane J. Sutcliffe

Since Specialization
Citations

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

Fields of papers citing papers by Diane J. Sutcliffe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane J. Sutcliffe. 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 Diane J. Sutcliffe. The network helps show where Diane J. Sutcliffe may publish in the future.

Co-authorship network of co-authors of Diane J. Sutcliffe

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

All Works

19 of 19 papers shown
1.
Dinasarapu, Ashok Reddy, Diane J. Sutcliffe, Jasper E. Visser, et al.. (2025). Modeling rare genetic disease with patient-derived induced pluripotent stem cells: reassessment of the minimum numbers of lines needed. Stem Cells Translational Medicine. 14(8).
2.
Sutcliffe, Diane J., et al.. (2024). A new physiological medium uncovers biochemical and cellular alterations in Lesch-Nyhan disease fibroblasts. Molecular Medicine. 30(1). 3–3. 2 indexed citations
3.
Scorr, Laura, Diane J. Sutcliffe, Ashok Reddy Dinasarapu, et al.. (2024). Exploration of potential immune mechanisms in cervical dystonia. Parkinsonism & Related Disorders. 122. 106036–106036. 5 indexed citations
4.
Briscione, Maria A., J. T. Ingram, Xueliang Fan, et al.. (2023). Striatal Subregion-selective Dysregulated Dopamine Receptor-mediated Intracellular Signaling in a Model of DOPA-responsive Dystonia. Neuroscience. 517. 37–49. 2 indexed citations
5.
Dinasarapu, Ashok Reddy, Diane J. Sutcliffe, Fatemeh Seifar, Jasper E. Visser, & Hyder A. Jinnah. (2022). Abnormalities of neural stem cells in Lesch–Nyhan disease. Journal of Neurogenetics. 36(2-3). 81–87. 4 indexed citations
6.
Seifar, Fatemeh, Diane J. Sutcliffe, Piyush Joshi, & Hyder A. Jinnah. (2022). Contributions of Purine Synthesis and Recycling During Brain Development: Relevance to Lesch Nyhan Disease (S39.009). Neurology. 98(18_supplement). 1 indexed citations
7.
Sutcliffe, Diane J., Ashok Reddy Dinasarapu, Jasper E. Visser, et al.. (2021). Induced pluripotent stem cells from subjects with Lesch-Nyhan disease. Scientific Reports. 11(1). 8523–8523. 12 indexed citations
8.
López, José M., et al.. (2020). Physiological levels of folic acid reveal purine alterations in Lesch-Nyhan disease. Proceedings of the National Academy of Sciences. 117(22). 12071–12079. 15 indexed citations
9.
Fu, Rong, Diane J. Sutcliffe, Hong Zhao, et al.. (2014). Clinical severity in Lesch–Nyhan disease: The role of residual enzyme and compensatory pathways. Molecular Genetics and Metabolism. 114(1). 55–61. 54 indexed citations
10.
Prudente, Cecília N., Rong Fu, Diane J. Sutcliffe, et al.. (2014). Loss of dopamine phenotype among midbrain neurons inLesch–Nyhan disease. Annals of Neurology. 76(1). 95–107. 41 indexed citations
11.
Landázuri, Natalia, Sheng Tong, Jin Suo, et al.. (2013). Magnetic Targeting of Human Mesenchymal Stem Cells with Internalized Superparamagnetic Iron Oxide Nanoparticles. Small. 9(23). 4017–4026. 88 indexed citations
12.
Burhenne, Heike, et al.. (2013). Purine metabolism during neuronal differentiation: the relevance of purine synthesis and recycling. Journal of Neurochemistry. 127(6). 805–818. 37 indexed citations
13.
Mavromatis, Kreton, Diane J. Sutcliffe, Giji Joseph, et al.. (2012). Proangiogenic Cell Colonies Grown In Vitro from Human Peripheral Blood Mononuclear Cells. SLAS DISCOVERY. 17(9). 1128–1135. 4 indexed citations
14.
Mavromatis, Kreton, Konstantinos Aznaouridis, Ibhar Al Mheid, et al.. (2012). Circulating Proangiogenic Cell Activity Is Associated with Cardiovascular Disease Risk. SLAS DISCOVERY. 17(9). 1163–1170. 9 indexed citations
15.
Cribbs, Sushma K., Diane J. Sutcliffe, W. Robert Taylor, et al.. (2012). Circulating endothelial progenitor cells inversely associate with organ dysfunction in sepsis. Intensive Care Medicine. 38(3). 429–436. 38 indexed citations
16.
Waller, Edmund K., Jonathan R. Murrow, Amita K. Manatunga, et al.. (2009). Bone marrow mobilization with granulocyte macrophage colony-stimulating factor improves endothelial dysfunction and exercise capacity in patients with peripheral arterial disease. American Heart Journal. 158(1). 53–60.e1. 51 indexed citations
17.
Sadava, David & Diane J. Sutcliffe. (1988). The effects of maternal hyperphenylalaninemia on learning in mature rats. Life Sciences. 43(14). 1119–1123. 6 indexed citations
18.
Gollapudi, B. Bhaskar, et al.. (1986). Assessment of cytogenetic response to folic acid deprivation in rat lymphocytes. In Vitro Cellular & Developmental Biology - Plant. 22(11). 681–684. 10 indexed citations
19.
Preston, F E, et al.. (1977). Factor VIII inhibitor by-passing activity (FEIBA) in the management of patients with factor VIII inhibitors. Thrombosis Research. 11(5). 643–651. 26 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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