Sarah H. Gardner

768 total citations
16 papers, 616 citations indexed

About

Sarah H. Gardner is a scholar working on Molecular Biology, Biomedical Engineering and Pharmacology. According to data from OpenAlex, Sarah H. Gardner has authored 16 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Biomedical Engineering and 4 papers in Pharmacology. Recurrent topics in Sarah H. Gardner's work include Inflammatory mediators and NSAID effects (4 papers), Nanoplatforms for cancer theranostics (4 papers) and Photodynamic Therapy Research Studies (3 papers). Sarah H. Gardner is often cited by papers focused on Inflammatory mediators and NSAID effects (4 papers), Nanoplatforms for cancer theranostics (4 papers) and Photodynamic Therapy Research Studies (3 papers). Sarah H. Gardner collaborates with scholars based in United States, United Kingdom and China. Sarah H. Gardner's co-authors include Gillian Hawcroft, Mark A. Hull, Jefferson Chan, Christopher J. Reinhardt, Melissa Y. Lucero, Anuj K. Yadav, Shengzhang Su, Sharath Chandra Mallojjala, Jennifer S. Hirschi and Liviu M. Mirica and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Sarah H. Gardner

16 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah H. Gardner United States	13	244	231	151	94	72	16	616
Chenwen Shao China	10	142 0.6×	167 0.7×	102 0.7×	43 0.5×	83 1.2×	17	500
Fantian Zeng China	15	273 1.1×	288 1.2×	195 1.3×	87 0.9×	202 2.8×	25	778
Chi Meng China	16	161 0.7×	255 1.1×	92 0.6×	54 0.6×	85 1.2×	41	661
Nicole D. Barth United Kingdom	17	278 1.1×	461 2.0×	220 1.5×	39 0.4×	68 0.9×	28	1.1k
Xintian Shao China	16	231 0.9×	425 1.8×	189 1.3×	34 0.4×	43 0.6×	38	891
Song Wu China	18	87 0.4×	308 1.3×	131 0.9×	47 0.5×	48 0.7×	36	692
Myung Sun Ji South Korea	9	183 0.8×	168 0.7×	255 1.7×	28 0.3×	47 0.7×	12	558
Christopher J. Reinhardt United States	14	561 2.3×	307 1.3×	327 2.2×	55 0.6×	127 1.8×	16	956
Li Zhi Liu China	4	110 0.5×	250 1.1×	72 0.5×	31 0.3×	60 0.8×	8	736

Countries citing papers authored by Sarah H. Gardner

Since Specialization

Citations

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

Fields of papers citing papers by Sarah H. Gardner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah H. Gardner

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Yadav, Anuj K., et al.. (2023). Hydrolysis-Resistant Ester-Based Linkers for Development of Activity-Based NIR Bioluminescence Probes. Journal of the American Chemical Society. 145(2). 1460–1469. 24 indexed citations

2.

Yang, Bo, Kaimin Cai, Ying Wang, et al.. (2023). Leveraging intracellular ALDH1A1 activity for selective cancer stem-like cell labeling and targeted treatment via in vivo click reaction. Proceedings of the National Academy of Sciences. 120(36). e2302342120–e2302342120. 12 indexed citations

3.

Lee, Michael, et al.. (2023). Application of AlDeSense to Stratify Ovarian Cancer Cells Based on Aldehyde Dehydrogenase 1A1 Activity. Journal of Visualized Experiments. 2 indexed citations

4.

Li, Jin, Yan Dong, Guanyu Jiang, et al.. (2022). Stable, Bright, and Long-Fluorescence-Lifetime Dyes for Deep-Near-Infrared Bioimaging. Journal of the American Chemical Society. 144(31). 14351–14362. 114 indexed citations

5.

Lucero, Melissa Y., et al.. (2022). Activity‐based Photoacoustic Probes Reveal Elevated Intestinal MGL and FAAH Activity in a Murine Model of Obesity. Angewandte Chemie International Edition. 61(44). e202211774–e202211774. 19 indexed citations

6.

Gardner, Sarah H., Anuj K. Yadav, Sharath Chandra Mallojjala, et al.. (2021). A General Approach to Convert Hemicyanine Dyes into Highly Optimized Photoacoustic Scaffolds for Analyte Sensing**. Angewandte Chemie. 133(34). 19008–19014. 12 indexed citations

7.

Gardner, Sarah H., Anuj K. Yadav, Sharath Chandra Mallojjala, et al.. (2021). A General Approach to Convert Hemicyanine Dyes into Highly Optimized Photoacoustic Scaffolds for Analyte Sensing**. Angewandte Chemie International Edition. 60(34). 18860–18866. 98 indexed citations

8.

Gardner, Sarah H., Christopher J. Reinhardt, & Jefferson Chan. (2020). Fortschritte bei aktivitätsbasierten Sonden für die isoformselektive Bildgebung enzymatischer Aktivität. Angewandte Chemie. 133(10). 5052–5062. 11 indexed citations

9.

Gardner, Sarah H., Christopher J. Reinhardt, & Jefferson Chan. (2020). Advances in Activity‐Based Sensing Probes for Isoform‐Selective Imaging of Enzymatic Activity. Angewandte Chemie International Edition. 60(10). 5000–5009. 60 indexed citations

10.

Laird, Joseph G., et al.. (2019). Rescue of Rod Synapses by Induction of Ca_v Alpha 1F in the Mature Ca_v1.4 Knock-Out Mouse Retina. Investigative Ophthalmology & Visual Science. 60(8). 3150–3150. 10 indexed citations

11.

Hedhli, Jamila, Sarah H. Gardner, Hiroshi Inaba, et al.. (2018). Surveillance of Cancer Stem Cell Plasticity Using an Isoform-Selective Fluorescent Probe for Aldehyde Dehydrogenase 1A1. ACS Central Science. 4(8). 1045–1055. 47 indexed citations

12.

Kerov, Vasily, Joseph G. Laird, Mei-ling A. Joiner, et al.. (2018). α ₂ δ-4 Is Required for the Molecular and Structural Organization of Rod and Cone Photoreceptor Synapses. Journal of Neuroscience. 38(27). 6145–6160. 52 indexed citations

13.

Gardner, Sarah H., Gillian Hawcroft, & Mark A. Hull. (2004). Effect of nonsteroidal anti-inflammatory drugs on β-catenin protein levels and catenin-related transcription in human colorectal cancer cells. British Journal of Cancer. 91(1). 153–163. 46 indexed citations

14.

Hawcroft, Gillian, Sarah H. Gardner, & Mark A. Hull. (2004). Expression of prostaglandin D2 receptors DP1 and DP2 by human colorectal cancer cells. Cancer Letters. 210(1). 81–84. 14 indexed citations

15.

Hawcroft, Gillian, Sarah H. Gardner, & Mark A. Hull. (2003). Activation of Peroxisome Proliferator-Activated Receptor γ Does Not Explain the Antiproliferative Activity of the Nonsteroidal Anti-Inflammatory Drug Indomethacin on Human Colorectal Cancer Cells. Journal of Pharmacology and Experimental Therapeutics. 305(2). 632–637. 22 indexed citations

16.

Hull, Mark A., Sarah H. Gardner, & Gillian Hawcroft. (2003). Activity of the non-steroidal anti-inflammatory drug indomethacin against colorectal cancer. Cancer Treatment Reviews. 29(4). 309–320. 73 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.

Explore authors with similar magnitude of impact