Aaron J. Schueneman

451 total citations
8 papers, 377 citations indexed

About

Aaron J. Schueneman is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Aaron J. Schueneman has authored 8 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Aaron J. Schueneman's work include Pancreatic and Hepatic Oncology Research (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). Aaron J. Schueneman is often cited by papers focused on Pancreatic and Hepatic Oncology Research (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). Aaron J. Schueneman collaborates with scholars based in United States. Aaron J. Schueneman's co-authors include Dennis E. Hallahan, Ling Geng, Eric Himmelfarb, Edwin F. Donnelly, Gerald McMahon, Dirk B. Mendel, Cassian Yee, Gregory Lizée, Michael J. Overman and Edward A. Kesicki and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and British Journal of Cancer.

In The Last Decade

Aaron J. Schueneman

8 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aaron J. Schueneman United States	7	183	158	109	89	58	8	377
Irini Karapanagiotou‐Schenkel Germany	10	98 0.5×	123 0.8×	167 1.5×	83 0.9×	61 1.1×	16	435
Clarence Eng United States	8	130 0.7×	131 0.8×	79 0.7×	158 1.8×	49 0.8×	16	342
Jan Sun United States	8	171 0.9×	317 2.0×	142 1.3×	83 0.9×	89 1.5×	12	620
Maria Alessandra Calegari Italy	10	220 1.2×	89 0.6×	109 1.0×	70 0.8×	56 1.0×	43	361
Eirini Thanopoulou United Kingdom	12	148 0.8×	121 0.8×	158 1.4×	113 1.3×	19 0.3×	26	401
Ryosuke Tajiri Japan	8	104 0.6×	127 0.8×	93 0.9×	65 0.7×	61 1.1×	27	311
Pamela Biondani Italy	12	341 1.9×	104 0.7×	162 1.5×	79 0.9×	105 1.8×	37	505
Bérengère Dadone France	11	120 0.7×	178 1.1×	172 1.6×	102 1.1×	39 0.7×	17	377
Manabu Yamamoto Japan	11	237 1.3×	160 1.0×	253 2.3×	97 1.1×	117 2.0×	26	556
Heejin Bang South Korea	10	142 0.8×	217 1.4×	95 0.9×	100 1.1×	59 1.0×	21	411

Countries citing papers authored by Aaron J. Schueneman

Since Specialization

Citations

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

Fields of papers citing papers by Aaron J. Schueneman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron J. Schueneman. 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 Aaron J. Schueneman. The network helps show where Aaron J. Schueneman may publish in the future.

Co-authorship network of co-authors of Aaron J. Schueneman

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

All Works

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8 of 8 papers shown

Overman, Michael J., Harris S. Soifer, Aaron J. Schueneman, et al.. (2016). Performance and prognostic utility of the 92-gene assay in the molecular subclassification of ampullary adenocarcinoma. BMC Cancer. 16(1). 668–668. 7 indexed citations

Yee, Cassian, Gregory Lizée, & Aaron J. Schueneman. (2015). Endogenous T-Cell Therapy. The Cancer Journal. 21(6). 492–500. 23 indexed citations

Schueneman, Aaron J., Joe Ensor, Burcu Saka, et al.. (2015). Validation of histomolecular classification utilizing histological subtype, MUC1, and CDX2 for prognostication of resected ampullary adenocarcinoma. British Journal of Cancer. 113(1). 64–68. 38 indexed citations

Schueneman, Aaron J., Huamin Wang, Harris S. Soifer, et al.. (2014). Molecular classification of ampullary adenocarcinoma: Comparative prognostic performance of the 92-gene assay versus histomolecular analysis.. Journal of Clinical Oncology. 32(15_suppl). 4141–4141. 2 indexed citations

Schueneman, Aaron J., Elizabeth A. Sugar, Jennifer N. Uram, et al.. (2013). Low Total Lymphocyte Count Is Associated with Poor Survival in Patients with Resected Pancreatic Adenocarcinoma Receiving a GM-CSF Secreting Pancreatic Tumor Vaccine. Annals of Surgical Oncology. 20(S3). 725–730. 31 indexed citations

Niermann, Kenneth J., Arthur C. Fleischer, Edwin F. Donnelly, et al.. (2005). Sonographic depiction of changes of tumor vascularity in response to various therapies.. PubMed. 21(2). 61–7; quiz 149, 153. 9 indexed citations

Geng, Ling, Jiahuai Tan, Eric Himmelfarb, et al.. (2004). A Specific Antagonist of the p110δ Catalytic Component of Phosphatidylinositol 3′-Kinase, IC486068, Enhances Radiation-Induced Tumor Vascular Destruction. Cancer Research. 64(14). 4893–4899. 40 indexed citations

Schueneman, Aaron J., Eric Himmelfarb, Ling Geng, et al.. (2003). SU11248 maintenance therapy prevents tumor regrowth after fractionated irradiation of murine tumor models.. PubMed. 63(14). 4009–16. 227 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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