Linda Sutherland

1.1k total citations
19 papers, 727 citations indexed

About

Linda Sutherland is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Linda Sutherland has authored 19 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Linda Sutherland's work include Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (5 papers) and Virus-based gene therapy research (2 papers). Linda Sutherland is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (5 papers) and Virus-based gene therapy research (2 papers). Linda Sutherland collaborates with scholars based in United Kingdom, United States and Netherlands. Linda Sutherland's co-authors include Tom Burdon, J. F. Clark, David C. Hay, Stephen Meek, Andrew J. H. Smith, T. R. Bradley, Alison J. Thomson, Martin J. Cline, G. S. Hodgson and Margaret A. Sumner and has published in prestigious journals such as The EMBO Journal, PLoS ONE and Scientific Reports.

In The Last Decade

Linda Sutherland

17 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linda Sutherland United Kingdom 10 572 116 75 56 46 19 727
Kristy M. Nicks United States 14 269 0.5× 118 1.0× 86 1.1× 28 0.5× 39 0.8× 15 619
Priscilla Cheung United States 7 367 0.6× 62 0.5× 33 0.4× 33 0.6× 90 2.0× 10 539
Doyeob Kim United States 7 891 1.6× 128 1.1× 104 1.4× 11 0.2× 42 0.9× 7 968
Guo Liang Xu China 9 329 0.6× 49 0.4× 35 0.5× 18 0.3× 32 0.7× 18 459
Wenge Ding China 14 191 0.3× 33 0.3× 69 0.9× 25 0.4× 48 1.0× 23 514
Simone Vodret Italy 15 357 0.6× 53 0.5× 97 1.3× 33 0.6× 40 0.9× 21 604
Kumaran Chandrasekharan United States 14 286 0.5× 77 0.7× 51 0.7× 18 0.3× 32 0.7× 17 488
Koen Theunis Belgium 7 358 0.6× 167 1.4× 25 0.3× 23 0.4× 65 1.4× 10 662
Mario Mairhofer Austria 13 227 0.4× 32 0.3× 64 0.9× 32 0.6× 23 0.5× 23 494
Arthur J. Cohen United States 9 194 0.3× 54 0.5× 32 0.4× 24 0.4× 51 1.1× 13 415

Countries citing papers authored by Linda Sutherland

Since Specialization
Citations

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

Fields of papers citing papers by Linda Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Sutherland

This figure shows the co-authorship network connecting the top 25 collaborators of Linda Sutherland. A scholar is included among the top collaborators of Linda Sutherland 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 Linda Sutherland. Linda Sutherland 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.
Meek, Stephen, Karamjit Singh Dolt, Linda Sutherland, et al.. (2024). Redundancy of p75NTR neurotrophin receptor function in development, growth and fertility in the rat. Transgenic Research. 33(4). 255–266.
2.
Solinsky, Ryan, Kevin Park, Mary Schmidt-Read, et al.. (2023). Patient Perceptions and Clinical Assessments of Cardiometabolic Disease After Subacute Spinal Cord Injury. Archives of Physical Medicine and Rehabilitation. 105(5). 901–905. 1 indexed citations
3.
Solinsky, Ryan, Mary Schmidt-Read, Marilyn Owens, et al.. (2021). Acute Spinal Cord Injury Is Associated With Prevalent Cardiometabolic Risk Factors. Archives of Physical Medicine and Rehabilitation. 103(4). 696–701. 26 indexed citations
4.
Meek, Stephen, Jun Wei, Linda Sutherland, et al.. (2020). A Stem Cell Reporter for Investigating Pluripotency and Self-Renewal in the Rat. Stem Cell Reports. 14(1). 154–166. 4 indexed citations
5.
Sutherland, Linda, Jennifer Greaves, Stephen Meek, et al.. (2018). LIF-dependent survival of embryonic stem cells is regulated by a novel palmitoylated Gab1 signalling protein. Journal of Cell Science. 131(18). 4 indexed citations
6.
Meek, Stephen, Alison J. Thomson, Linda Sutherland, et al.. (2016). Reduced levels of dopamine and altered metabolism in brains of HPRT knock-out rats: a new rodent model of Lesch-Nyhan Disease. Scientific Reports. 6(1). 25592–25592. 20 indexed citations
7.
Meek, Stephen, Linda Sutherland, & Tom Burdon. (2014). Tuning Differentiation Signals for Efficient Propagation and In Vitro Validation of Rat Embryonic Stem Cell Cultures. Methods in molecular biology. 1212. 73–85. 2 indexed citations
8.
Meek, Stephen, Jun Wei, Linda Sutherland, et al.. (2013). Tuning of β-catenin activity is required to stabilize self-renewal of rat embryonic stem cells. Stem Cells. 31(10). 2104–2115. 34 indexed citations
9.
Thomson, Alison J., Stephen Meek, Linda Sutherland, et al.. (2012). Reprogramming Pig Fetal Fibroblasts Reveals a Functional LIF Signaling Pathway. Cellular Reprogramming. 14(2). 112–122. 24 indexed citations
10.
Allam, Adel H., Samuel Wann, Randall C. Thompson, et al.. (2012). Atherosclerotic cardiovascular disease in Egyptian women: 1570 BCE–2011 CE. International Journal of Cardiology. 167(2). 570–574. 22 indexed citations
11.
Lynch, Magnus, Andrew J. H. Smith, Marco De Gobbi, et al.. (2011). An interspecies analysis reveals a key role for unmethylated CpG dinucleotides in vertebrate Polycomb complex recruitment. The EMBO Journal. 31(2). 317–329. 155 indexed citations
12.
Meek, Stephen, Mia Buehr, Linda Sutherland, et al.. (2010). Efficient Gene Targeting by Homologous Recombination in Rat Embryonic Stem Cells. PLoS ONE. 5(12). e14225–e14225. 33 indexed citations
13.
Sutherland, Linda, et al.. (2008). The Four A's of Managing the Placement and Service of Students with Disabilities in the CTE Classroom. The Journal for Vocational Special Needs Education. 30. 4–8. 3 indexed citations
14.
Sutherland, Linda, et al.. (2005). Software, hardware and the web: reviews. The Indexer. 24(3). 167–168. 1 indexed citations
15.
Hay, David C., Linda Sutherland, J. F. Clark, & Tom Burdon. (2004). Oct-4 Knockdown Induces Similar Patterns of Endoderm and Trophoblast Differentiation Markers in Human and Mouse Embryonic Stem Cells. Stem Cells. 22(2). 225–235. 309 indexed citations
16.
Brown, Karen, et al.. (2002). Looking at Paper: Evidence and Interpretation. Journal of the American Institute for Conservation. 41(3). 292–292.
17.
Henderson, Elizabeth, et al.. (1993). Prolonged and Multipatient Use of Prefilled Disposable Oxygen Humidifier Bottles: Safety and Cost. Infection Control and Hospital Epidemiology. 14(8). 463–468. 12 indexed citations
18.
Henderson, Elizabeth, et al.. (1993). Prolonged and Multipatient Use of Prefilled Disposable Oxygen Humidifier Bottles: Safety and Cost. Infection Control and Hospital Epidemiology. 14(8). 463–468. 6 indexed citations
19.
Sumner, Margaret A., et al.. (1972). The Growth of Bone Marrow Cells in Liquid Culture. British Journal of Haematology. 23(2). 221–234. 71 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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