Rachel Woods

1.3k total citations
24 papers, 463 citations indexed

About

Rachel Woods is a scholar working on Molecular Biology, Physiology and Insect Science. According to data from OpenAlex, Rachel Woods has authored 24 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Physiology and 6 papers in Insect Science. Recurrent topics in Rachel Woods's work include Insect Resistance and Genetics (5 papers), Insect and Pesticide Research (4 papers) and Diet and metabolism studies (4 papers). Rachel Woods is often cited by papers focused on Insect Resistance and Genetics (5 papers), Insect and Pesticide Research (4 papers) and Diet and metabolism studies (4 papers). Rachel Woods collaborates with scholars based in United Kingdom, United States and Denmark. Rachel Woods's co-authors include Harold S. Sacks, Graeme Davies, Michael Symonds, Helen Budge, Peter Aldiss, Siôn Parry, Carl J. Hulston, F. Reines, Ashton Harper and Richard L. Day and has published in prestigious journals such as Physical Review Letters, The Journal of Clinical Endocrinology & Metabolism and The Journal of Physiology.

In The Last Decade

Rachel Woods

24 papers receiving 456 citations

Peers

Rachel Woods

PHYSI

CCM

SURGE

NHEP

Maria Tassini Italy

Jean François Huneau France

Brittany Lee‐McMullen United States

Dongxue Li China

Yuki Toyama Japan

Janet L. Potter United States

J. H. Adler Israel

Jelena Curcic Switzerland

Peter Y. Hahn United States

Maria Tassini Italy

Rachel Woods

62 ×0.4

PHYSI

191 ×1.4

42 ×0.3

CCM

32 ×0.5

SURGE

11 ×0.2

NHEP

Citations per year, relative to Rachel Woods Rachel Woods (= 1×) peers Maria Tassini

Countries citing papers authored by Rachel Woods

Since Specialization

Citations

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

Fields of papers citing papers by Rachel Woods

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Woods

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

All Works

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20 of 20 papers shown

O’Neill, Bridget F., et al.. (2024). An environmental risk assessment of IPD079Ea: a protein derived from Ophioglossum pendulum with activity against Diabrotica spp.In maize. GM crops & food. 15(1). 15–31. 1 indexed citations

Carlson, Anne B., et al.. (2022). Safety assessment of the insecticidal protein IPD079Ea from the fern, Ophioglossum pendulum. Food and Chemical Toxicology. 166. 113187–113187. 6 indexed citations

Woods, Rachel, et al.. (2022). Two Cases of Insulin-Derived Amyloidosis With Acanthosis Nigricans-Like Changes. American Journal of Dermatopathology. 44(12). 979–980. 3 indexed citations

Huang, Emily, et al.. (2022). Characterization of the Spectrum of Activity of IPD079Ea: A Protein Derived From Ophioglossum pendulum (Ophioglossales: Ophioglossaceae) With Activity Against Western Corn Rootworm [Diabrotica virgifera virgifera (Coleoptera: Chrysomelidae)]. Journal of Economic Entomology. 115(5). 1531–1538. 4 indexed citations

Anderson, Jennifer A., et al.. (2021). Environmental risk assessment of the DvSSJ1 dsRNA and the IPD072Aa protein to non-target organisms. GM crops & food. 12(1). 459–478. 8 indexed citations

Stuhl, Charles, et al.. (2021). A Comparison of Varroa destructor (Acari: Varroidae) Collection Methods and Survivability in in Vitro Rearing Systems. Florida Entomologist. 104(1). 2 indexed citations

Reynolds, Jack, et al.. (2020). Assessing the Dynamic Performance of Thermochemical Storage Materials. Energies. 13(9). 2202–2202. 6 indexed citations

Whytock, Katie L., Siôn Parry, Mark C. Turner, et al.. (2020). A 7‐day high‐fat, high‐calorie diet induces fibre‐specific increases in intramuscular triglyceride and perilipin protein expression in human skeletal muscle. The Journal of Physiology. 598(6). 1151–1167. 10 indexed citations

Wadley, Alex J., Rachel Woods, Lauren B. Sherar, et al.. (2020). Short-term High-fat Overfeeding Does Not Induce NF-κB Inflammatory Signaling in Subcutaneous White Adipose Tissue. The Journal of Clinical Endocrinology & Metabolism. 105(7). 2162–2176. 1 indexed citations

10.

Willis, Scott A., Jack A. Sargeant, Thomas Yates, et al.. (2019). Acute Hyperenergetic, High-Fat Feeding Increases Circulating FGF21, LECT2, and Fetuin-A in Healthy Men. Journal of Nutrition. 150(5). 1076–1085. 23 indexed citations

11.

Parry, Siôn, Mark C. Turner, Rachel Woods, et al.. (2019). High-Fat Overfeeding Impairs Peripheral Glucose Metabolism and Muscle Microvascular eNOS Ser1177 Phosphorylation. The Journal of Clinical Endocrinology & Metabolism. 105(1). 65–77. 18 indexed citations

12.

Day, Richard L., Ashton Harper, Rachel Woods, Owen G. Davies, & Liam M. Heaney. (2019). Probiotics: Current Landscape and Future Horizons. Future Science OA. 5(4). FSO391–FSO391. 48 indexed citations

13.

Fainberg, Hernan P., Reham I. Alagal, Mark Pope, et al.. (2018). Transcriptional analysis of adipose tissue during development reveals depot-specific responsiveness to maternal dietary supplementation. Scientific Reports. 8(1). 9628–9628. 26 indexed citations

14.

Hulston, Carl J., Rachel Woods, Siôn Parry, et al.. (2018). Resistance exercise stimulates mixed muscle protein synthesis in lean and obese young adults. Physiological Reports. 6(14). e13799–e13799. 21 indexed citations

15.

Parry, Siôn, et al.. (2017). Short-term, high-fat overfeeding impairs glycaemic control but does not alter gut hormone responses to a mixed meal tolerance test in healthy, normal-weight individuals. British Journal Of Nutrition. 117(1). 48–55. 29 indexed citations

16.

Parry, Siôn, Rachel Woods, Leanne Hodson, & Carl J. Hulston. (2017). A Single Day of Excessive Dietary Fat Intake Reduces Whole-Body Insulin Sensitivity: The Metabolic Consequence of Binge Eating. Nutrients. 9(8). 818–818. 22 indexed citations

17.

Aldiss, Peter, Graeme Davies, Rachel Woods, et al.. (2016). ‘Browning’ the cardiac and peri-vascular adipose tissues to modulate cardiovascular risk. International Journal of Cardiology. 228. 265–274. 112 indexed citations

18.

Kropp, W. R., F. Reines, & Rachel Woods. (1968). Muon Decay Deep Underground. Physical Review Letters. 20(25). 1451–1452. 14 indexed citations

19.

Reines, F. & Rachel Woods. (1965). New Approach to the Detection of Solar Neutrinos Via inverse Beta Decay. Physical Review Letters. 14(1). 20–24. 17 indexed citations

20.

Cork, J. M., M. K. Brice, R.G. Helmer, & Rachel Woods. (1958). Additional Data on the Radioactive Decay ofHo166(27 hr),Nd147, andSm153. Physical Review. 110(2). 526–528. 33 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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