Alison M. Weppler

61 total papers · 867 total citations
24 papers, 288 citations indexed

About

Alison M. Weppler is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Alison M. Weppler has authored 24 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 6 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Alison M. Weppler's work include Cancer Immunotherapy and Biomarkers (16 papers), CAR-T cell therapy research (6 papers) and Melanoma and MAPK Pathways (6 papers). Alison M. Weppler is often cited by papers focused on Cancer Immunotherapy and Biomarkers (16 papers), CAR-T cell therapy research (6 papers) and Melanoma and MAPK Pathways (6 papers). Alison M. Weppler collaborates with scholars based in Australia, United States and France. Alison M. Weppler's co-authors include Shahneen Sandhu, George Au‐Yeung, Georgina V. Long, Matteo S. Carlino, Peter K. H. Lau, Roslyn Wallace, Rodney J. Hicks, Alexander M. Menzies, Amir Iravani and James R. Patrinely and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Radiology.

In The Last Decade

Alison M. Weppler

21 papers receiving 286 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alison M. Weppler 230 63 61 61 56 24 288
David Pérez-Callejo 199 0.9× 127 2.0× 59 1.0× 34 0.6× 111 2.0× 22 322
Jakob Madsen 128 0.6× 53 0.8× 31 0.5× 27 0.4× 21 0.4× 19 297
Vesal Yaghoobi 190 0.8× 67 1.1× 86 1.4× 88 1.4× 57 1.0× 20 321
Alexandre Perrier 81 0.4× 38 0.6× 104 1.7× 24 0.4× 57 1.0× 17 212
Luisa Sánchez‐Lorenzo 189 0.8× 38 0.6× 91 1.5× 44 0.7× 30 0.5× 22 283
Camilla Delli Paoli 135 0.6× 112 1.8× 48 0.8× 16 0.3× 38 0.7× 22 285
Loïck Galland 179 0.8× 79 1.3× 60 1.0× 47 0.8× 40 0.7× 25 289
Armin Atzinger 115 0.5× 46 0.7× 24 0.4× 44 0.7× 39 0.7× 23 209
Deepak Bhamidipati 122 0.5× 101 1.6× 77 1.3× 17 0.3× 45 0.8× 23 294
Laetitia Da Meda 206 0.9× 47 0.7× 49 0.8× 43 0.7× 14 0.3× 24 253

Countries citing papers authored by Alison M. Weppler

Since Specialization
Citations

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

Fields of papers citing papers by Alison M. Weppler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison M. Weppler. 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 Alison M. Weppler. The network helps show where Alison M. Weppler may publish in the future.

Co-authorship network of co-authors of Alison M. Weppler

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

All Works

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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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