Andrew D. Sligar

1.2k total citations · 1 hit paper
9 papers, 923 citations indexed

About

Andrew D. Sligar is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Andrew D. Sligar has authored 9 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Genetics. Recurrent topics in Andrew D. Sligar's work include Angiogenesis and VEGF in Cancer (4 papers), Diabetic Foot Ulcer Assessment and Management (2 papers) and Mesenchymal stem cell research (2 papers). Andrew D. Sligar is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), Diabetic Foot Ulcer Assessment and Management (2 papers) and Mesenchymal stem cell research (2 papers). Andrew D. Sligar collaborates with scholars based in United States and Spain. Andrew D. Sligar's co-authors include Aaron B. Baker, Kayla Henderson, Adrianne Spencer, Austin Veith, Victoria Le, Mei G. Lei, Daniel Chavarria, Emily Y. Yang, Jason Lee and Andrew K. Dunn and has published in prestigious journals such as Advanced Drug Delivery Reviews, Scientific Reports and Acta Biomaterialia.

In The Last Decade

Andrew D. Sligar

9 papers receiving 913 citations

Hit Papers

Therapeutic strategies for enhancing angiogenesis in woun... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew D. Sligar United States 6 504 268 239 153 125 9 923
Raquel A. Minasian United States 9 398 0.8× 197 0.7× 153 0.6× 131 0.9× 192 1.5× 19 920
Kayla Henderson United States 4 500 1.0× 273 1.0× 221 0.9× 158 1.0× 128 1.0× 5 851
Adrianne Spencer United States 7 507 1.0× 255 1.0× 220 0.9× 156 1.0× 107 0.9× 7 857
Austin Veith United States 4 498 1.0× 254 0.9× 203 0.8× 153 1.0× 112 0.9× 7 819
Yevgeniy Kim Kazakhstan 10 444 0.9× 331 1.2× 303 1.3× 185 1.2× 236 1.9× 17 1.2k
Zhicheng Hu China 21 612 1.2× 214 0.8× 396 1.7× 82 0.5× 170 1.4× 57 1.3k
Xuan Wu China 11 339 0.7× 228 0.9× 315 1.3× 184 1.2× 88 0.7× 35 1.2k
Jacqueline Larouche United States 10 333 0.7× 129 0.5× 322 1.3× 117 0.8× 149 1.2× 15 834
Jiezhi Jia China 15 280 0.6× 171 0.6× 198 0.8× 143 0.9× 48 0.4× 26 740
Jiahe Guo China 14 246 0.5× 171 0.6× 215 0.9× 174 1.1× 51 0.4× 30 639

Countries citing papers authored by Andrew D. Sligar

Since Specialization
Citations

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

Fields of papers citing papers by Andrew D. Sligar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew D. Sligar. 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 Andrew D. Sligar. The network helps show where Andrew D. Sligar may publish in the future.

Co-authorship network of co-authors of Andrew D. Sligar

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

All Works

9 of 9 papers shown
1.
Lei, Mei G., et al.. (2024). Transmembrane stem factor nanodiscs enhanced revascularization in a hind limb ischemia model in diabetic, hyperlipidemic rabbits. Scientific Reports. 14(1). 2352–2352. 3 indexed citations
2.
Sligar, Andrew D., Almudena Gómez‐Hernández, Austin Veith, et al.. (2023). Syndecan-4 proteoliposomes enhance revascularization in a rabbit hind limb ischemia model of peripheral ischemia. Acta Biomaterialia. 167. 425–435. 2 indexed citations
3.
Spencer, Adrianne, Andrew D. Sligar, Daniel Chavarria, et al.. (2021). Biomechanical regulation of breast cancer metastasis and progression. Scientific Reports. 11(1). 9838–9838. 13 indexed citations
4.
Sligar, Andrew D., et al.. (2019). Preclinical Model of Hind Limb Ischemia in Diabetic Rabbits. Journal of Visualized Experiments. 7 indexed citations
5.
Sligar, Andrew D., et al.. (2019). Preclinical Model of Hind Limb Ischemia in Diabetic Rabbits. Journal of Visualized Experiments. 1 indexed citations
6.
Veith, Austin, Kayla Henderson, Adrianne Spencer, Andrew D. Sligar, & Aaron B. Baker. (2018). Therapeutic strategies for enhancing angiogenesis in wound healing. Advanced Drug Delivery Reviews. 146. 97–125. 749 indexed citations breakdown →
7.
Le, Victoria, Andrew D. Sligar, Mei G. Lei, et al.. (2018). Algal Polysaccharides as Therapeutic Agents for Atherosclerosis. Frontiers in Cardiovascular Medicine. 5. 153–153. 92 indexed citations
8.
Sherman, Michael B., Kayla Henderson, Andrew D. Sligar, et al.. (2017). Glioblastoma Exosomes for Therapeutic Angiogenesis in Peripheral Ischemia. Tissue Engineering Part A. 23(21-22). 1251–1261. 27 indexed citations
9.
Henderson, Kayla, Andrew D. Sligar, Victoria Le, Jason Lee, & Aaron B. Baker. (2017). Biomechanical Regulation of Mesenchymal Stem Cells for Cardiovascular Tissue Engineering. Advanced Healthcare Materials. 6(22). 29 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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