Adam E. Frampton

6.1k total citations
134 papers, 3.0k citations indexed

About

Adam E. Frampton is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Adam E. Frampton has authored 134 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Oncology, 50 papers in Cancer Research and 49 papers in Molecular Biology. Recurrent topics in Adam E. Frampton's work include Pancreatic and Hepatic Oncology Research (52 papers), MicroRNA in disease regulation (33 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (16 papers). Adam E. Frampton is often cited by papers focused on Pancreatic and Hepatic Oncology Research (52 papers), MicroRNA in disease regulation (33 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (16 papers). Adam E. Frampton collaborates with scholars based in United Kingdom, Italy and Netherlands. Adam E. Frampton's co-authors include Jonathan Krell, Justin Stebbing, Long R. Jiao, Leandro Castellano, Elisa Giovannetti, Tamara Gall, Nagy Habib, Loredana Pellegrino, Jimmy Jacob and Mireia Mato Prado and has published in prestigious journals such as The Lancet, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Adam E. Frampton

129 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam E. Frampton United Kingdom 33 1.6k 1.4k 1.1k 546 358 134 3.0k
Darren R. Carpizo United States 27 1.5k 0.9× 715 0.5× 1.4k 1.2× 433 0.8× 325 0.9× 80 3.0k
E. Ramsay Camp United States 28 1.2k 0.8× 771 0.5× 1.6k 1.4× 415 0.8× 563 1.6× 65 2.8k
Midie Xu China 29 1.6k 1.0× 1.3k 0.9× 709 0.6× 244 0.4× 471 1.3× 111 2.6k
Xishan Wang China 29 1.1k 0.7× 903 0.6× 1.4k 1.2× 688 1.3× 548 1.5× 196 2.8k
Qifeng Wang China 31 1.7k 1.1× 1.5k 1.0× 687 0.6× 619 1.1× 646 1.8× 165 3.1k
Tomohiko Asano Japan 27 1.5k 1.0× 635 0.5× 1.0k 0.9× 763 1.4× 804 2.2× 180 3.6k
Raffaele Addeo Italy 31 1.1k 0.7× 660 0.5× 1.5k 1.3× 343 0.6× 669 1.9× 115 3.0k
Lin Xia China 28 1.5k 0.9× 1.1k 0.8× 615 0.5× 320 0.6× 398 1.1× 84 2.8k
Oronzo Brunetti Italy 35 1.1k 0.7× 783 0.6× 1.5k 1.4× 440 0.8× 525 1.5× 126 3.1k
Hirofumi Akita Japan 28 1.1k 0.7× 813 0.6× 1.5k 1.3× 1.1k 2.0× 710 2.0× 184 3.2k

Countries citing papers authored by Adam E. Frampton

Since Specialization
Citations

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

Fields of papers citing papers by Adam E. Frampton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam E. Frampton. 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 Adam E. Frampton. The network helps show where Adam E. Frampton may publish in the future.

Co-authorship network of co-authors of Adam E. Frampton

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

All Works

20 of 20 papers shown
1.
Hanyaloglu, Aylin C., Yue Ma, Adam E. Frampton, et al.. (2025). Propionate Induces Energy Expenditure via Browning in Mesenteric Adipose Tissue. The Journal of Clinical Endocrinology & Metabolism. 111(1). 256–267. 3 indexed citations
2.
Xu, Xi Peng, Zhiping Huang, Bruno M. G. Rosa, et al.. (2025). Control of Antibody Orientation on Graphene Using Porphyrin Linker Molecules for High-Performance Graphene-Based Immuno-Biosensors. Journal of the American Chemical Society. 147(51). 47638–47653. 1 indexed citations
4.
Comandatore, Annalisa, Laura Ginocchi, Laura L. Meijer, et al.. (2024). Plasma miR-379 can predict treatment response to FOLFIRINOX and gemcitabine-nab-paclitaxel in advanced pancreatic cancer. SHILAP Revista de lepidopterología. 5. 100152–100152. 2 indexed citations
5.
Ammendola, Michele, Laura Rizzo, Francesco Marchegiani, et al.. (2024). Metaverse and Telementoring: From Surgery to Workshop. Surgical Innovation. 31(2). 212–219. 5 indexed citations
6.
Liu, Daniel, Mireia Mato Prado, Elisa Giovannetti, et al.. (2023). MOY 2 MicroRNAs as Bile Based Biomarkers for Pancreaticobiliary Cancers (MIRABILE). British journal of surgery. 110(Supplement_6). 1 indexed citations
7.
Jainarayanan, Ashwin, Edward H. Arbe-Barnes, Rachael Bashford-Rogers, et al.. (2023). Pseudotime dynamics of T cells in pancreatic ductal adenocarcinoma inform distinct functional states within the regulatory and cytotoxic T cells. iScience. 26(4). 106324–106324. 5 indexed citations
9.
Merali, Nabeel, Daniel Liu, Tony Dhillon, et al.. (2023). Bile Microbiome Signatures Associated with Pancreatic Ductal Adenocarcinoma Compared to Benign Disease: A UK Pilot Study. International Journal of Molecular Sciences. 24(23). 16888–16888. 5 indexed citations
10.
Phillips, Mary, Rajesh Kumar, Rajiv Lahiri, et al.. (2023). Bedside naso-jejunal placement is more difficult, but successful in patients with COVID-19 in critical care: A retrospective service evaluation of a dietitian-led service. Journal of the Intensive Care Society. 24(4). 435–437. 1 indexed citations
11.
Spiers, Harry, Nicola de Liguori Carino, Sanjay Pandanaboyana, et al.. (2023). Irreversible Electroporation for Liver Metastases from Colorectal Cancer: A Systematic Review. Cancers. 15(9). 2428–2428. 6 indexed citations
12.
Halle‐Smith, James, Sarah Powell‐Brett, Nabeel Merali, et al.. (2023). Pancreatic Exocrine Insufficiency and the Gut Microbiome in Pancreatic Cancer: A Target for Future Diagnostic Tests and Therapies?. Cancers. 15(21). 5140–5140. 2 indexed citations
13.
Liu, Daniel, et al.. (2022). The Clinical Significance of Transfer RNAs Present in Extracellular Vesicles. International Journal of Molecular Sciences. 23(7). 3692–3692. 9 indexed citations
14.
Lythgoe, Mark P., Daniel Liu, Nicola Annels, Jonathan Krell, & Adam E. Frampton. (2021). Gene of the month: lymphocyte-activation gene 3 (LAG-3). Journal of Clinical Pathology. 74(9). 543–547. 31 indexed citations
15.
16.
Limb, Christopher, Daniel Liu, Morten T. Venø, et al.. (2020). The Role of Circular RNAs in Pancreatic Ductal Adenocarcinoma and Biliary-Tract Cancers. Cancers. 12(11). 3250–3250. 22 indexed citations
18.
Pinho, Filipa G., Adam E. Frampton, João Nunes, et al.. (2013). Downregulation of microRNA-515-5p by the Estrogen Receptor Modulates Sphingosine Kinase 1 and Breast Cancer Cell Proliferation. Cancer Research. 73(19). 5936–5948. 67 indexed citations
19.
Zabron, Abigail, et al.. (2013). OC-038 Specific Microrna Markers are Identified in Bile in Pancreatic Ductal Adenocarcinoma. Gut. 62(Suppl 1). A17.2–A18. 2 indexed citations
20.
Zhang, Yaojun, Adam E. Frampton, Patrizia Cohen, et al.. (2012). Tumor Infiltration in the Medial Resection Margin Predicts Survival After Pancreaticoduodenectomy for Pancreatic Ductal Adenocarcinoma. Journal of Gastrointestinal Surgery. 16(10). 1875–1882. 42 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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