Alan Spatz

13.7k total citations
200 papers, 7.7k citations indexed

About

Alan Spatz is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Alan Spatz has authored 200 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Oncology, 66 papers in Molecular Biology and 38 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Alan Spatz's work include Cutaneous Melanoma Detection and Management (64 papers), Melanoma and MAPK Pathways (31 papers) and Immunotherapy and Immune Responses (30 papers). Alan Spatz is often cited by papers focused on Cutaneous Melanoma Detection and Management (64 papers), Melanoma and MAPK Pathways (31 papers) and Immunotherapy and Immune Responses (30 papers). Alan Spatz collaborates with scholars based in France, Canada and Netherlands. Alan Spatz's co-authors include Alexander M.M. Eggermont, Caroline Robert, Stefan Suciu, Janine Wechsler, Bernard Escudier, Raymond L. Barnhill, Alessandro Testori, Ulrich Keilholz, Wim H.J. Kruit and Dirk Schadendorf and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Nature reviews. Cancer.

In The Last Decade

Alan Spatz

192 papers receiving 7.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan Spatz France 45 4.7k 3.4k 1.8k 1.1k 863 200 7.7k
Mario Santinami Italy 42 5.0k 1.1× 3.2k 0.9× 2.5k 1.4× 1.2k 1.1× 978 1.1× 166 7.9k
Selma Ugurel Germany 49 4.9k 1.0× 3.6k 1.1× 2.5k 1.4× 721 0.7× 572 0.7× 236 8.3k
Alessandro Testori Italy 53 6.0k 1.3× 3.6k 1.0× 2.6k 1.4× 697 0.7× 1.5k 1.8× 213 9.4k
Hensin Tsao United States 50 5.5k 1.2× 5.1k 1.5× 1.7k 0.9× 1.1k 1.0× 1.1k 1.2× 191 9.6k
Mohammed Kashani–Sabet United States 47 4.5k 1.0× 3.9k 1.2× 1.3k 0.7× 935 0.9× 1.4k 1.6× 182 7.7k
Stanley P. L. Leong United States 43 4.4k 0.9× 2.4k 0.7× 1.1k 0.6× 1.4k 1.4× 1.1k 1.3× 221 6.9k
Mark B. Faries United States 42 5.9k 1.2× 2.6k 0.8× 2.2k 1.2× 689 0.7× 1.5k 1.7× 173 7.5k
Hong Wu United States 39 3.2k 0.7× 3.7k 1.1× 1.2k 0.7× 947 0.9× 561 0.7× 102 7.5k
Antônio C. Buzaid United States 39 8.0k 1.7× 4.2k 1.2× 2.6k 1.5× 906 0.9× 1.8k 2.1× 139 10.4k
Jacob Schachter Israel 47 6.5k 1.4× 3.0k 0.9× 3.0k 1.7× 748 0.7× 690 0.8× 189 8.4k

Countries citing papers authored by Alan Spatz

Since Specialization
Citations

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

Fields of papers citing papers by Alan Spatz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Spatz

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Spatz. A scholar is included among the top collaborators of Alan Spatz 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 Alan Spatz. Alan Spatz 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.
2.
Cohen, Victor, et al.. (2024). Sex-Related Differences in Immunotherapy Outcomes of Patients with Advanced Non-Small Cell Lung Cancer. Current Oncology. 31(11). 7379–7389. 2 indexed citations
3.
Rayes, Roni, Jonathan Cools‐Lartigue, Jonathan Spicer, et al.. (2023). OA20.06 Quantification of Pathologically Assessed Lymph Node Area in Lung Cancer Resection Using Deep Learning. Journal of Thoracic Oncology. 18(11). S92–S92. 5 indexed citations
4.
Steinberg, Christian, Nathalie Gaudreault, Andreas I. Papadakis, et al.. (2023). Leucocyte-derived micro-RNAs as candidate biomarkers in Brugada syndrome. EP Europace. 25(6). 5 indexed citations
5.
Camilleri‐Broët, Sophie, Caroline Huynh, Leora Witkowski, et al.. (2023). Next-generation sequencing of non-small cell lung cancer at a Quebec health care cancer centre. Cancer Treatment and Research Communications. 35. 100696–100696. 6 indexed citations
6.
Husereau, Don, Yvonne Bombard, Tracy Stockley, et al.. (2023). Future Role of Health Technology Assessment for Genomic Medicine in Oncology: A Canadian Laboratory Perspective. Current Oncology. 30(11). 9660–9669. 3 indexed citations
7.
Maleki, Farhad, Katie Ovens, Rajiv Gupta, et al.. (2022). Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls. Radiology Artificial Intelligence. 5(1). e220028–e220028. 67 indexed citations
8.
Liu, Xiaoyang, Farhad Maleki, Nikesh Muthukrishnan, et al.. (2021). Site-Specific Variation in Radiomic Features of Head and Neck Squamous Cell Carcinoma and Its Impact on Machine Learning Models. Cancers. 13(15). 3723–3723. 5 indexed citations
9.
Brukner, Ivan, Shaun Eintracht, Andreas I. Papadakis, et al.. (2020). Maximizing confidence in a negative result: Quantitative sample adequacy control. Journal of Infection and Public Health. 13(7). 991–993. 14 indexed citations
10.
Marques, Maud, Lise Tremblay, Nicole Bouchard, et al.. (2019). Analysis of the Genomic Landscape in ALK+ NSCLC Patients Identifies Novel Aberrations Associated with Clinical Outcomes. Molecular Cancer Therapeutics. 18(9). 1628–1636. 20 indexed citations
11.
Jamal, Rahima, Réjean Lapointe, Eftihia Cocolakis, et al.. (2017). Peripheral and local predictive immune signatures identified in a phase II trial of ipilimumab with carboplatin/paclitaxel in unresectable stage III or stage IV melanoma. Journal for ImmunoTherapy of Cancer. 5(1). 83–83. 38 indexed citations
12.
Eggermont, Alexander M.M., Stefan Suciu, Alessandro Testori, et al.. (2012). Long-Term Results of the Randomized Phase III Trial EORTC 18991 of Adjuvant Therapy With Pegylated Interferon Alfa-2b Versus Observation in Resected Stage III Melanoma. Journal of Clinical Oncology. 30(31). 3810–3818. 190 indexed citations
13.
Redpath, Margaret, Bin Xu, Léon C.L.T. van Kempen, & Alan Spatz. (2011). The dual role of the X‐linked FoxP3 gene in human cancers. Molecular Oncology. 5(2). 156–163. 20 indexed citations
14.
Louahed, Jamila, Brigitte Dréno, Swann Gaulis, et al.. (2008). Clinical response to the MAGE-A3 immunotherapeutic in metastatic melanoma patients is associated with a specific gene profile present prior to treatment. Annals of Oncology. 19. 27. 8 indexed citations
15.
16.
Kannengiesser, Caroline, Alan Spatz, Stefan Michiels, et al.. (2008). Gene expression signature associated with BRAF mutations in human primary cutaneous melanomas. Molecular Oncology. 1(4). 425–430. 36 indexed citations
17.
Fréchet, Mathilde, Odile Chevallier, Alan Spatz, et al.. (2008). Overexpression of matrix metalloproteinase 1 in dermal fibroblasts from DNA repair-deficient/cancer-prone xeroderma pigmentosum group C patients. Oncogene. 27(39). 5223–5232. 20 indexed citations
18.
Kolb, F., Alan Spatz, B Court, et al.. (2004). Mélanomes du pénis : 6 cas. Annales de Dermatologie et de Vénéréologie. 131(6-7). 541–544. 8 indexed citations
19.
Spatz, Alan, Giuseppina Giglia‐Mari, Simone Benhamou, & Alain Sarasin. (2001). Association between DNA repair-deficiency and high level of p53 mutations in melanoma of Xeroderma pigmentosum.. PubMed. 61(6). 2480–6. 59 indexed citations
20.
Sigal, R., A Margulis, Sandra Mercier, et al.. (2000). [Cerebral magnetic resonance imaging (MRI) in the diagnosis of leptomeningeal carcinomatosis in melanoma patients].. PubMed. 127(1). 29–32. 5 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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