Martin Skarzynski

625 total citations
11 papers, 344 citations indexed

About

Martin Skarzynski is a scholar working on Genetics, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Martin Skarzynski has authored 11 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 3 papers in Pathology and Forensic Medicine and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Martin Skarzynski's work include Chronic Lymphocytic Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Martin Skarzynski is often cited by papers focused on Chronic Lymphocytic Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Martin Skarzynski collaborates with scholars based in United States, France and United Kingdom. Martin Skarzynski's co-authors include Li C. Cheung, Rebecca Landy, Hilary A. Robbins, Hormuzd A. Katki, Adrian Wiestner, Sarah E. M. Herman, M. Patricia Rivera, Anil K. Chaturvedi, Christine D. Berg and Kieron Dunleavy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and JNCI Journal of the National Cancer Institute.

In The Last Decade

Martin Skarzynski

11 papers receiving 343 citations

Peers

Martin Skarzynski
Erlene Seymour United States
Jens Rueter United States
David Sermer United States
Terry Evans United States
William Larry Gluck United States
Tommy Li United States
Matthew J. Ahearne United Kingdom
C. Dewolf-Peeters Belgium
Manfred Ahlgrimm Germany
Nicolò Compagno Switzerland
Erlene Seymour United States
Martin Skarzynski
Citations per year, relative to Martin Skarzynski Martin Skarzynski (= 1×) peers Erlene Seymour

Countries citing papers authored by Martin Skarzynski

Since Specialization
Citations

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

Fields of papers citing papers by Martin Skarzynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Skarzynski

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Skarzynski. A scholar is included among the top collaborators of Martin Skarzynski 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 Martin Skarzynski. Martin Skarzynski 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.
Landy, Rebecca, David Baldwin, Paul F. Pinsky, et al.. (2023). Recalibration of a Deep Learning Model for Low-Dose Computed Tomographic Images to Inform Lung Cancer Screening Intervals. JAMA Network Open. 6(3). e233273–e233273. 9 indexed citations
2.
Skarzynski, Martin, Erin M. McAuley, Ezekiel J. Maier, et al.. (2022). SARS-CoV-2 Genome-Based Severity Predictions Correspond to Lower qPCR Values and Higher Viral Load. SHILAP Revista de lepidopterología. 2022. 1–6. 3 indexed citations
3.
Voss, Jameson D., Martin Skarzynski, Erin M. McAuley, et al.. (2021). Variants in SARS-CoV-2 associated with mild or severe outcome. Evolution Medicine and Public Health. 9(1). 267–275. 20 indexed citations
4.
Landy, Rebecca, Martin Skarzynski, Li C. Cheung, et al.. (2020). Using Prediction Models to Reduce Persistent Racial and Ethnic Disparities in the Draft 2020 USPSTF Lung Cancer Screening Guidelines. JNCI Journal of the National Cancer Institute. 113(11). 1590–1594. 88 indexed citations
5.
Cheuk, Adam, et al.. (2018). Abstract 5618: Anti-FGFR4 antibody drug conjugate for immune therapy of rhabdomyosarcoma and hepatocellular carcinoma. Cancer Research. 78(13_Supplement). 5618–5618. 4 indexed citations
6.
Skarzynski, Martin, S. Baskar, David O. Azorsa, et al.. (2017). Abstract 693: Antibody-based targeting of the cell surface receptor tyrosine kinase FGFR4 in rhabdomyosarcoma and other cancers. Cancer Research. 77(13_Supplement). 693–693. 3 indexed citations
7.
Saba, Nakhle S., Delong Liu, Sarah E. M. Herman, et al.. (2016). Pathogenic role of B-cell receptor signaling and canonical NF-κB activation in mantle cell lymphoma. Blood. 128(1). 82–92. 111 indexed citations
8.
Skarzynski, Martin, Carsten Utoft Niemann, Yuh Shan Lee, et al.. (2015). Interactions between Ibrutinib and Anti-CD20 Antibodies: Competing Effects on the Outcome of Combination Therapy. Clinical Cancer Research. 22(1). 86–95. 62 indexed citations
9.
Skarzynski, Martin, et al.. (2015). Health Disparities in the Immunoprevention of Human Papillomavirus Infection and Associated Malignancies. Frontiers in Public Health. 3. 256–256. 6 indexed citations
10.
Weldon, John E., et al.. (2015). Designing the Furin-Cleavable Linker in Recombinant Immunotoxins Based on Pseudomonas Exotoxin A. Bioconjugate Chemistry. 26(6). 1120–1128. 26 indexed citations
11.
Vire, Bérengère, Martin Skarzynski, Joshua D. Thomas, et al.. (2014). Harnessing the Fcμ Receptor for Potent and Selective Cytotoxic Therapy of Chronic Lymphocytic Leukemia. Cancer Research. 74(24). 7510–7520. 12 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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2026