Austin N. Southard-Smith

2.1k total citations
10 papers, 338 citations indexed

About

Austin N. Southard-Smith is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Austin N. Southard-Smith has authored 10 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Austin N. Southard-Smith's work include Single-cell and spatial transcriptomics (5 papers), Immune cells in cancer (2 papers) and Cancer Cells and Metastasis (2 papers). Austin N. Southard-Smith is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Immune cells in cancer (2 papers) and Cancer Cells and Metastasis (2 papers). Austin N. Southard-Smith collaborates with scholars based in United States and Canada. Austin N. Southard-Smith's co-authors include Ken S. Lau, Alan J. Simmons, Bob Chen, Elizabeth Scoville, Keith T. Wilson, M. Kay Washington, Hyeyon Kim, James R. White, Mary C. Macedonia and Amrita Banerjee and has published in prestigious journals such as Gastroenterology, Diabetes and Acta Biomaterialia.

In The Last Decade

Austin N. Southard-Smith

10 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Austin N. Southard-Smith United States 7 154 93 76 54 43 10 338
C.S. Awtrey United States 7 214 1.4× 75 0.8× 60 0.8× 25 0.5× 31 0.7× 11 392
Daniel Martín United States 10 283 1.8× 52 0.6× 25 0.3× 36 0.7× 22 0.5× 27 506
Tacettin Sogukoglu Austria 8 145 0.9× 114 1.2× 48 0.6× 77 1.4× 25 0.6× 15 368
John Bukowski United States 5 180 1.2× 113 1.2× 16 0.2× 56 1.0× 43 1.0× 6 405
Katharina Leucht Germany 10 225 1.5× 72 0.8× 95 1.3× 15 0.3× 78 1.8× 32 410
Xianze Wang China 11 80 0.5× 68 0.7× 25 0.3× 28 0.5× 16 0.4× 48 327
Naoko Tachibana Japan 8 229 1.5× 20 0.2× 97 1.3× 20 0.4× 54 1.3× 14 388
Charles A. Herring United States 9 289 1.9× 103 1.1× 96 1.3× 11 0.2× 59 1.4× 14 464
Péter Brázda Hungary 10 222 1.4× 32 0.3× 64 0.8× 14 0.3× 43 1.0× 17 420
Sevana Khaloian Germany 2 166 1.1× 38 0.4× 36 0.5× 9 0.2× 81 1.9× 3 285

Countries citing papers authored by Austin N. Southard-Smith

Since Specialization
Citations

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

Fields of papers citing papers by Austin N. Southard-Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Austin N. Southard-Smith. 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 Austin N. Southard-Smith. The network helps show where Austin N. Southard-Smith may publish in the future.

Co-authorship network of co-authors of Austin N. Southard-Smith

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

All Works

10 of 10 papers shown
1.
Chen, Zhengyi, Alan J. Simmons, Cody N. Heiser, et al.. (2023). A contamination focused approach for optimizing the single-cell RNA-seq experiment. iScience. 26(7). 107242–107242. 6 indexed citations
2.
Storrs, Erik, Daniel Cui Zhou, Michael C. Wendl, et al.. (2022). Pollock: fishing for cell states. Bioinformatics Advances. 2(1). vbac028–vbac028. 2 indexed citations
3.
Taufalele, Paul, Wenjun Wang, Alan J. Simmons, et al.. (2022). Matrix stiffness enhances cancer-macrophage interactions and M2-like macrophage accumulation in the breast tumor microenvironment. Acta Biomaterialia. 163. 365–377. 50 indexed citations
4.
Taufalele, Paul, Alan J. Simmons, Austin N. Southard-Smith, et al.. (2021). Matrix Stiffness Enhances Cancer-Macrophage Interactions and M2-Like Macrophage Accumulation in the Breast Tumor Microenvironment. SSRN Electronic Journal. 3 indexed citations
5.
Bao, Shunxing, Yucheng Tang, Cody N. Heiser, et al.. (2021). A cross-platform informatics system for the Gut Cell Atlas: integrating clinical, anatomical and histological data. PubMed. 11601. 5–5. 7 indexed citations
6.
Banerjee, Amrita, Charles A. Herring, Bob Chen, et al.. (2020). Succinate Produced by Intestinal Microbes Promotes Specification of Tuft Cells to Suppress Ileal Inflammation. Gastroenterology. 159(6). 2101–2115.e5. 147 indexed citations
7.
Brubaker, Douglas K., Manu P. Kumar, Evan L. Chiswick, et al.. (2020). An interspecies translation model implicates integrin signaling in infliximab-resistant inflammatory bowel disease. Science Signaling. 13(643). 27 indexed citations
8.
9.
Southard-Smith, Austin N., Alan J. Simmons, Bob Chen, et al.. (2020). Dual indexed library design enables compatibility of in-Drop single-cell RNA-sequencing with exAMP chemistry sequencing platforms. BMC Genomics. 21(1). 456–456. 17 indexed citations
10.
May‐Zhang, Aaron A., Eric Tycksen, Austin N. Southard-Smith, et al.. (2020). Combinatorial Transcriptional Profiling of Mouse and Human Enteric Neurons Identifies Shared and Disparate Subtypes In Situ. Gastroenterology. 160(3). 755–770.e26. 70 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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