Sarah M. Knox

3.5k total citations
46 papers, 2.3k citations indexed

About

Sarah M. Knox is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Sarah M. Knox has authored 46 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 19 papers in Physiology and 13 papers in Cell Biology. Recurrent topics in Sarah M. Knox's work include Salivary Gland Disorders and Functions (19 papers), Proteoglycans and glycosaminoglycans research (11 papers) and Glycosylation and Glycoproteins Research (10 papers). Sarah M. Knox is often cited by papers focused on Salivary Gland Disorders and Functions (19 papers), Proteoglycans and glycosaminoglycans research (11 papers) and Glycosylation and Glycoproteins Research (10 papers). Sarah M. Knox collaborates with scholars based in United States, Australia and United Kingdom. Sarah M. Knox's co-authors include John M. Whitelock, Matthew P. Hoffman, James Melrose, Isabelle M.A. Lombaert, Elaine Emmerson, Lynn Vitale‐Cross, Xylena Reed, J. Silvio Gutkind, Candace L. Haddox and Noel Cruz‐Pacheco and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Sarah M. Knox

44 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah M. Knox United States	26	1.0k	730	694	324	298	46	2.3k
Elisabeth Raschperger Sweden	16	1.4k 1.4×	308 0.4×	236 0.3×	264 0.8×	274 0.9×	17	3.1k
Antje Bornemann Germany	28	1.5k 1.4×	405 0.6×	323 0.5×	336 1.0×	173 0.6×	88	3.3k
Andrew T. Dudley United States	22	2.9k 2.8×	345 0.5×	742 1.1×	425 1.3×	681 2.3×	44	4.3k
Isabelle M.A. Lombaert United States	20	631 0.6×	286 0.4×	999 1.4×	313 1.0×	104 0.3×	35	2.0k
Elias T. Zambidis United States	29	2.2k 2.2×	375 0.5×	314 0.5×	444 1.4×	213 0.7×	61	3.3k
Tea Soon Park United States	21	1.7k 1.6×	341 0.5×	301 0.4×	363 1.1×	113 0.4×	32	2.4k
Hidekatsu Yoshioka Japan	30	1000 1.0×	512 0.7×	241 0.3×	137 0.4×	425 1.4×	83	2.4k
Momoko Yoshimoto United States	32	2.2k 2.1×	1.0k 1.4×	252 0.4×	501 1.5×	301 1.0×	71	4.1k
Radhika P. Atit United States	25	1.3k 1.2×	472 0.6×	267 0.4×	152 0.5×	339 1.1×	44	2.5k

Countries citing papers authored by Sarah M. Knox

Since Specialization

Citations

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

Fields of papers citing papers by Sarah M. Knox

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah M. Knox. 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 Sarah M. Knox. The network helps show where Sarah M. Knox may publish in the future.

Co-authorship network of co-authors of Sarah M. Knox

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah M. Knox. A scholar is included among the top collaborators of Sarah M. Knox 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 Sarah M. Knox. Sarah M. Knox 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

Damrauer, Jeffrey S., Jennifer L. Modliszewski, Yi‐Hsuan Tsai, et al.. (2025). An FGFR-p53 developmental signaling axis drives salivary cancer progression. Oncogene. 44(32). 2876–2892.

Knox, Sarah M., et al.. (2022). Exocrine gland structure-function relationships. Development. 149(1). 19 indexed citations

Efraim, Yael, et al.. (2022). A synthetic tear protein resolves dry eye through promoting corneal nerve regeneration. Cell Reports. 40(9). 111307–111307. 14 indexed citations

Sudiwala, Sonia, Seayar Mohabbat, Eliza A. Gaylord, et al.. (2022). Long-term functional regeneration of radiation-damaged salivary glands through delivery of a neurogenic hydrogel. Science Advances. 8(51). eadc8753–eadc8753. 15 indexed citations

May, Alison J., Aaron Mattingly, Eliza A. Gaylord, et al.. (2022). Neuronal-epithelial cross-talk drives acinar specification via NRG1-ERBB3-mTORC2 signaling. Developmental Cell. 57(22). 2550–2565.e5. 9 indexed citations

Shen, Shichen, Jun Qu, Alison J. May, et al.. (2022). A mechanism of gene evolution generating mucin function. Science Advances. 8(34). eabm8757–eabm8757. 15 indexed citations

Pletcher, Steven D., José Gurrola, Andrew N. Goldberg, et al.. (2021). Septum submucosal glands exhibit aberrant morphology and reduced mucin production in chronic rhinosinusitis. International Forum of Allergy & Rhinology. 11(10). 1443–1451. 2 indexed citations

Efraim, Yael, et al.. (2020). Alterations in corneal biomechanics underlie early stages of autoimmune-mediated dry eye disease. Journal of Autoimmunity. 114. 102500–102500. 16 indexed citations

Sudiwala, Sonia & Sarah M. Knox. (2019). The emerging role of cranial nerves in shaping craniofacial development. genesis. 57(1). e23282–e23282. 15 indexed citations

10.

Emmerson, Elaine, Alison J. May, Noel Cruz‐Pacheco, et al.. (2018). Salivary glands regenerate after radiation injury through SOX2‐mediated secretory cell replacement. EMBO Molecular Medicine. 10(3). 94 indexed citations

11.

Emmerson, Elaine & Sarah M. Knox. (2018). Salivary gland stem cells: A review of development, regeneration and cancer. genesis. 56(5). e23211–e23211. 62 indexed citations

12.

Byrnes, Lauren, Daniel Wong, Meena Subramaniam, et al.. (2018). Lineage dynamics of murine pancreatic development at single-cell resolution. Nature Communications. 9(1). 3922–3922. 123 indexed citations

13.

Farmer, D’Juan T., Sara Nathan, Kevin Shengyang Yu, et al.. (2017). Defining epithelial cell dynamics and lineage relationships in the developing lacrimal gland. Development. 144(13). 2517–2528. 46 indexed citations

14.

Emmerson, Elaine, Alison J. May, Sara Nathan, et al.. (2017). SOX2 regulates acinar cell development in the salivary gland. eLife. 6. 71 indexed citations

15.

Farmer, D’Juan T., et al.. (2017). miR-205 is a critical regulator of lacrimal gland development. Developmental Biology. 427(1). 12–20. 7 indexed citations

16.

Stephens, Denise C., Shaokui Ge, Trinka Vijmasi, et al.. (2015). Lacritin’s active C-terminal peptide, ‘Lacripep’, as an efficient and innovative therapeutic for the treatment of aqueous-deficient dry eye.. Investigative Ophthalmology & Visual Science. 56(7). 300–300. 1 indexed citations

17.

Mattingly, Aaron, et al.. (2015). Salivary gland development and disease. Wiley Interdisciplinary Reviews Developmental Biology. 4(6). 573–590. 38 indexed citations

18.

Knosp, Wendy M., Sarah M. Knox, & Matthew P. Hoffman. (2011). Salivary gland organogenesis. Wiley Interdisciplinary Reviews Developmental Biology. 1(1). 69–82. 60 indexed citations

19.

Knox, Sarah M., et al.. (2011). Salivary gland progenitor cell biology provides a rationale for therapeutic salivary gland regeneration. Oral Diseases. 17(5). 445–449. 63 indexed citations

20.

Knox, Sarah M., Isabelle M.A. Lombaert, Xylena Reed, et al.. (2010). Parasympathetic Innervation Maintains Epithelial Progenitor Cells During Salivary Organogenesis. Science. 329(5999). 1645–1647. 248 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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