Sam Wells

597 total citations
11 papers, 475 citations indexed

About

Sam Wells is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Sam Wells has authored 11 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Sam Wells's work include Immunotherapy and Immune Responses (3 papers), Chemokine receptors and signaling (3 papers) and HER2/EGFR in Cancer Research (2 papers). Sam Wells is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Chemokine receptors and signaling (3 papers) and HER2/EGFR in Cancer Research (2 papers). Sam Wells collaborates with scholars based in United States. Sam Wells's co-authors include Linda M. Bundy, Linda Sealy, Dana M. Brantley‐Sieders, Jin Chen, Jian Yu, David Vaught, Rebecca S. Muraoka-Cook, Carlos L. Arteaga, Lu Xie and Guanglei Zhuang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

Sam Wells

11 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam Wells United States 9 272 212 105 83 61 11 475
Luciana M. Laguinge United States 7 309 1.1× 122 0.6× 40 0.4× 74 0.9× 40 0.7× 9 471
Praveen Reddy United States 6 325 1.2× 102 0.5× 84 0.8× 38 0.5× 29 0.5× 16 452
Diana C. Alcobia United Kingdom 4 292 1.1× 72 0.3× 64 0.6× 43 0.5× 22 0.4× 4 464
Bin Yuan China 11 167 0.6× 137 0.6× 21 0.2× 102 1.2× 31 0.5× 19 410
Ann‐Kristin Arvidsson Sweden 11 408 1.5× 116 0.5× 60 0.6× 101 1.2× 143 2.3× 12 614
Claus J. Jensen Denmark 5 478 1.8× 106 0.5× 47 0.4× 31 0.4× 94 1.5× 5 550
Michelle Tickner United Kingdom 6 383 1.4× 157 0.7× 230 2.2× 33 0.4× 52 0.9× 7 476
Shuichi Takagahara Japan 8 338 1.2× 42 0.2× 46 0.4× 49 0.6× 29 0.5× 10 488
Malathi Narayan United States 11 226 0.8× 116 0.5× 68 0.6× 33 0.4× 53 0.9× 16 414
Erika M. Lisabeth United States 12 442 1.6× 129 0.6× 297 2.8× 50 0.6× 244 4.0× 17 712

Countries citing papers authored by Sam Wells

Since Specialization
Citations

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

Fields of papers citing papers by Sam Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Wells

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

All Works

11 of 11 papers shown
1.
Sobolik, Tammy, Yingjun Su, David K. Schaffer, et al.. (2016). Development of novel murine mammary imaging windows to examine wound healing effects on leukocyte trafficking in mammary tumors with intravital imaging. PubMed. 5(1). e1125562–e1125562. 9 indexed citations
2.
Sobolik, Tammy, Yingjun Su, Sam Wells, et al.. (2014). CXCR4 drives the metastatic phenotype in breast cancer through induction of CXCR2 and activation of MEK and PI3K pathways. Molecular Biology of the Cell. 25(5). 566–582. 74 indexed citations
3.
Schietinger, Andrea, Ainhoa Arina, Rebecca B. Liu, et al.. (2013). Longitudinal confocal microscopy imaging of solid tumor destruction following adoptive T cell transfer. OncoImmunology. 2(11). e26677–e26677. 39 indexed citations
4.
Sobolik, Tammy, Yingjun Su, Sam Wells, & Ann Richmond. (2013). Abstract A53: CXCR4 drives the metastatic phenotype in breast cancer through induction of CXCR2, transactivation of HER2/EGFR, and activation of MEK and PI3K pathways. Cancer Research. 73(3_Supplement). A53–A53. 1 indexed citations
5.
Zhuang, Guanglei, Dana M. Brantley‐Sieders, David Vaught, et al.. (2009). Elevation of Receptor Tyrosine Kinase EphA2 Mediates Resistance to Trastuzumab Therapy. Cancer Research. 70(1). 299–308. 170 indexed citations
6.
Martin, Michelle D., Barbara Fingleton, Conor C. Lynch, et al.. (2008). Establishment and quantitative imaging of a 3D lung organotypic model of mammary tumor outgrowth. Clinical & Experimental Metastasis. 25(8). 877–885. 14 indexed citations
7.
Jia, Haibo, Isabelle N. King, Haiyan Wan, et al.. (2007). Vertebrate heart growth is regulated by functional antagonism between Gridlock and Gata5. Proceedings of the National Academy of Sciences. 104(35). 14008–14013. 18 indexed citations
8.
Bundy, Linda M., Sam Wells, & Linda Sealy. (2005). C/EBPbeta-2 confers EGF-independent growth and disrupts the normal acinar architecture of human mammary epithelial cells. Molecular Cancer. 4(1). 43–43. 68 indexed citations
9.
Kanki, Hideaki, Sabina Kupershmidt, Tao Yang, Sam Wells, & Dan M. Roden. (2004). A Structural Requirement for Processing the Cardiac K+ Channel KCNQ1. Journal of Biological Chemistry. 279(32). 33976–33983. 64 indexed citations
11.
Wells, Sam. (1984). Embryonal rhabdomyosarcoma of the ear: A review of the literature and case history. The Journal of Laryngology & Otology. 98(12). 1261–1266. 8 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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