Natasha Hill

1.7k total citations
29 papers, 1.3k citations indexed

About

Natasha Hill is a scholar working on Genetics, Surgery and Molecular Biology. According to data from OpenAlex, Natasha Hill has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 11 papers in Surgery and 9 papers in Molecular Biology. Recurrent topics in Natasha Hill's work include Diabetes and associated disorders (13 papers), Pancreatic function and diabetes (10 papers) and Immune Cell Function and Interaction (8 papers). Natasha Hill is often cited by papers focused on Diabetes and associated disorders (13 papers), Pancreatic function and diabetes (10 papers) and Immune Cell Function and Interaction (8 papers). Natasha Hill collaborates with scholars based in United Kingdom, United States and Sweden. Natasha Hill's co-authors include Linda S. Wicker, John A. Todd, Paul Lyons, Nora Sarvetnick, Christopher J. Lord, Laurence B. Peterson, Paul Denny, N Armitage, Patricia L. Podolin and L. Peterson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Immunity.

In The Last Decade

Natasha Hill

29 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natasha Hill United Kingdom 18 726 528 410 254 162 29 1.3k
Luc J Smink United Kingdom 19 1.1k 1.5× 501 0.9× 354 0.9× 618 2.4× 225 1.4× 24 1.7k
Einari Aavik Finland 19 424 0.6× 241 0.5× 219 0.5× 568 2.2× 392 2.4× 46 1.5k
Helen E. Stevens United Kingdom 10 791 1.1× 409 0.8× 299 0.7× 352 1.4× 233 1.4× 10 1.3k
Evaggelia Liaskou United Kingdom 21 217 0.3× 685 1.3× 385 0.9× 349 1.4× 61 0.4× 31 1.9k
J Bauditz Germany 16 276 0.4× 192 0.4× 292 0.7× 160 0.6× 108 0.7× 27 1.2k
María Eugenia Sáez Spain 21 239 0.3× 201 0.4× 187 0.5× 455 1.8× 189 1.2× 67 1.3k
C. Randall Fuller United States 19 392 0.5× 417 0.8× 244 0.6× 343 1.4× 365 2.3× 29 1.5k
Paula Borralho Portugal 17 720 1.0× 197 0.4× 410 1.0× 379 1.5× 36 0.2× 46 1.5k
Ivan Cuccovillo Italy 19 164 0.2× 496 0.9× 196 0.5× 586 2.3× 80 0.5× 29 1.6k
Guanhua Xie United States 22 167 0.2× 201 0.4× 560 1.4× 770 3.0× 242 1.5× 30 2.6k

Countries citing papers authored by Natasha Hill

Since Specialization
Citations

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

Fields of papers citing papers by Natasha Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natasha Hill

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

All Works

20 of 20 papers shown
1.
Kocher, Hemant M., et al.. (2020). Fibronectin acts as a molecular switch to determine SPARC function in pancreatic cancer. Cancer Letters. 477. 88–96. 20 indexed citations
3.
Hill, Natasha, et al.. (2016). A holistic approach to dissecting SPARC family protein complexity reveals FSTL-1 as an inhibitor of pancreatic cancer cell growth. Scientific Reports. 6(1). 37839–37839. 12 indexed citations
4.
Hill, Natasha, et al.. (2016). Embracing the complexity of matricellular proteins: the functional and clinical significance of splice variation. BioMolecular Concepts. 7(2). 117–132. 29 indexed citations
5.
Walker, Anthony J., Aileen King, Peter M. Jones, et al.. (2014). Novel Role for Matricellular Proteins in the Regulation of Islet β Cell Survival. Journal of Biological Chemistry. 289(44). 30614–30624. 18 indexed citations
6.
McGuire, Helen M., Alexis Vogelzang, Natasha Hill, et al.. (2009). Loss of parity between IL-2 and IL-21 in the NOD Idd3 locus. Proceedings of the National Academy of Sciences. 106(46). 19438–19443. 50 indexed citations
7.
Yadav, Deepak, Natasha Hill, Hideo Yagita∥, Miyuki Azuma, & Nora Sarvetnick. (2009). Altered availability of PD-1/PD ligands is associated with the failure to control autoimmunity in NOD mice. Cellular Immunology. 258(2). 161–171. 16 indexed citations
8.
Doran, Aimee, et al.. (2008). Guidelines for the prevention of central venous catheter-related blood stream infections with prostanoid therapy for pulmonary arterial hypertension. International Journal of Clinical Practice. 62(160). 5–9. 87 indexed citations
9.
Hultcrantz, Monica, S. Jacobson, Natasha Hill, Pere Santamaría, & Malin Flodström‐Tullberg. (2008). The target cell response to cytokines governs the autoreactive T cell repertoire in the pancreas of NOD mice. Diabetologia. 52(2). 299–305. 9 indexed citations
10.
Hill, Natasha, Monica Hultcrantz, Nora Sarvetnick, & Malin Flodström‐Tullberg. (2007). The target tissue in autoimmunity – an influential niche. European Journal of Immunology. 37(3). 589–597. 25 indexed citations
11.
Hill, Natasha, Aleksandr Stotland, Michelle Solomon, et al.. (2007). Resistance of the target islet tissue to autoimmune destruction contributes to genetic susceptibility in Type 1 diabetes. Biology Direct. 2(1). 5–5. 16 indexed citations
12.
Hill, Natasha, Kurt Van Gunst, & Nora Sarvetnick. (2003). Th1 and Th2 Pancreatic Inflammation Differentially Affects Homing of Islet-Reactive CD4 Cells in Nonobese Diabetic Mice. The Journal of Immunology. 170(4). 1649–1658. 34 indexed citations
13.
Cordell, Heather J., John A. Todd, Natasha Hill, et al.. (2001). Statistical Modeling of Interlocus Interactions in a Complex Disease: Rejection of the Multiplicative Model of Epistasis in Type 1 Diabetes. Genetics. 158(1). 357–367. 61 indexed citations
14.
15.
Lyons, Paul, Wayne W. Hancock, Paul Denny, et al.. (2000). The NOD Idd9 Genetic Interval Influences the Pathogenicity of Insulitis and Contains Molecular Variants of Cd30, Tnfr2, and Cd137. Immunity. 13(1). 107–115. 144 indexed citations
16.
Hill, Natasha, Paul Lyons, N Armitage, et al.. (2000). NOD Idd5 locus controls insulitis and diabetes and overlaps the orthologous CTLA4/IDDM12 and NRAMP1 loci in humans.. Diabetes. 49(10). 1744–1747. 131 indexed citations
17.
Podolin, Patricia L., Paul Denny, N Armitage, et al.. (1998). Localization of two insulin-dependent diabetes (Idd) genes to the Idd10 region on mouse Chromosome 3. Mammalian Genome. 9(4). 283–286. 100 indexed citations
18.
Podolin, Patricia L., Paul Denny, Christopher J. Lord, et al.. (1997). Congenic mapping of the insulin-dependent diabetes (Idd) gene, Idd10, localizes two genes mediating the Idd10 effect and eliminates the candidate Fcgr1. The Journal of Immunology. 159(4). 1835–1843. 105 indexed citations
19.
Lord, Christopher J., Stefan K. Bohlander, Elaine A. Hopes, et al.. (1995). Mapping the diabetes polygene Idd3 on mouse Chromosome 3 by use of novel congenic strains. Mammalian Genome. 6(9). 563–570. 32 indexed citations
20.
Lord, Christopher J., Stefan K. Bohlander, Elaine A. Hopes, et al.. (1995). Mapping of the diabetes polygene Idd3 on mouse Chromosome 3 using novel congenic strains. Research Repository (Kingston University London). 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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