Christopher McNair

4.5k total citations
29 papers, 753 citations indexed

About

Christopher McNair is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Christopher McNair has authored 29 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 10 papers in Pulmonary and Respiratory Medicine and 7 papers in Cancer Research. Recurrent topics in Christopher McNair's work include Cancer-related Molecular Pathways (7 papers), Advanced Breast Cancer Therapies (4 papers) and Ubiquitin and proteasome pathways (4 papers). Christopher McNair is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), Advanced Breast Cancer Therapies (4 papers) and Ubiquitin and proteasome pathways (4 papers). Christopher McNair collaborates with scholars based in United States, United Kingdom and Finland. Christopher McNair's co-authors include Jack London, Elnara Fazio‐Eynullayeva, Matvey B. Palchuk, Peter Sankey, Karen E. Knudsen, Matthew J. Schiewer, Amy C. Mandigo, Felix Y. Feng, Neermala Poudel Neupane and Ayesha A. Shafi and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Christopher McNair

22 papers receiving 744 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher McNair United States 14 416 265 240 140 60 29 753
Annamaria Molino Italy 17 516 1.2× 106 0.4× 193 0.8× 348 2.5× 95 1.6× 38 875
Elisa Dama Italy 17 232 0.6× 181 0.7× 306 1.3× 299 2.1× 10 0.2× 33 840
Fernando Franco Spain 14 305 0.7× 211 0.8× 215 0.9× 235 1.7× 7 0.1× 44 803
Christiana Davis United States 11 381 0.9× 357 1.3× 188 0.8× 115 0.8× 17 0.3× 20 715
Annette Juul Vangsted Denmark 21 598 1.4× 53 0.2× 622 2.6× 61 0.4× 20 0.3× 90 1.3k
C. Arnold Austria 12 162 0.4× 121 0.5× 172 0.7× 137 1.0× 7 0.1× 25 651
Maria Grazia Vizioli Italy 12 132 0.3× 56 0.2× 470 2.0× 127 0.9× 9 0.1× 16 779
Mark Conaway United States 15 265 0.6× 190 0.7× 255 1.1× 108 0.8× 4 0.1× 23 810
Tsewang Tashi United States 13 135 0.3× 64 0.2× 129 0.5× 84 0.6× 40 0.7× 47 555
Nille Behrendt Denmark 13 226 0.5× 199 0.8× 272 1.1× 91 0.7× 29 0.5× 27 723

Countries citing papers authored by Christopher McNair

Since Specialization
Citations

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

Fields of papers citing papers by Christopher McNair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher McNair

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher McNair. A scholar is included among the top collaborators of Christopher McNair 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 Christopher McNair. Christopher McNair 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.
Hull, Pamela C., et al.. (2024). Tracking community outreach and engagement activities among National Cancer Institute-designated cancer centers. JNCI Journal of the National Cancer Institute. 117(2). 335–337.
3.
DelNero, Peter, et al.. (2024). Interinstitutional Approach to Advancing Geospatial Technologies for US Cancer Centers. JCO Clinical Cancer Informatics. 8(8). e2400099–e2400099. 1 indexed citations
4.
Porcu, Pierluigi, et al.. (2024). Real-World Data Shows Increased Incidence of Autoimmune Disease in Survivors of Childhood Lymphoid Malignancies. Blood. 144(Supplement 1). 5094–5094.
5.
Rooney, Michael K., Krystle A. Lang Kuhs, W. Jay Christian, et al.. (2024). Travel-Time Disparities in Access to Proton Beam Therapy for Cancer Treatment. JAMA Network Open. 7(5). e2410670–e2410670. 8 indexed citations
6.
7.
Chen, Qian, Sofia Castelli, Christopher McNair, et al.. (2022). Subsets of cancer cells expressing CX3CR1 are endowed with metastasis-initiating properties and resistance to chemotherapy. Oncogene. 41(9). 1337–1351. 13 indexed citations
8.
McCann, Jennifer J., Irina A. Vasilevskaya, Christopher McNair, et al.. (2021). Mutant p53 elicits context-dependent pro-tumorigenic phenotypes. Oncogene. 41(3). 444–458. 21 indexed citations
9.
Stanek, Timothy J., Victoria Gennaro, Daniela Di Marcantonio, et al.. (2021). The SAGA complex regulates early steps in transcription via its deubiquitylase module subunit USP22. The EMBO Journal. 40(16). e102509–e102509. 14 indexed citations
10.
Shafi, Ayesha A., Christopher McNair, Jennifer J. McCann, et al.. (2021). The circadian cryptochrome, CRY1, is a pro-tumorigenic factor that rhythmically modulates DNA repair. Nature Communications. 12(1). 401–401. 79 indexed citations
11.
London, Jack, et al.. (2020). Abstract PO-040: The Effects of the COVID-19 pandemic on cancer patient encounters. Clinical Cancer Research. 26(18_Supplement). PO–40. 1 indexed citations
12.
Mandigo, Amy C., Christopher McNair, Angel Pang, et al.. (2020). Molecular underpinnings of RB status as a biomarker of poor outcome in advanced prostate cancer.. Journal of Clinical Oncology. 38(6_suppl). 189–189. 1 indexed citations
13.
McCann, Jennifer J., Irina A. Vasilevskaya, Neermala Poudel Neupane, et al.. (2019). USP22 Functions as an Oncogenic Driver in Prostate Cancer by Regulating Cell Proliferation and DNA Repair. Cancer Research. 80(3). 430–443. 46 indexed citations
14.
Leeuw, Renée de, Christopher McNair, Matthew J. Schiewer, et al.. (2018). MAPK Reliance via Acquired CDK4/6 Inhibitor Resistance in Cancer. Clinical Cancer Research. 24(17). 4201–4214. 77 indexed citations
15.
Rodrigues, Daniel Nava, Nicola Casiraghi, Alessandro Romanel, et al.. (2018). RB1 Heterogeneity in Advanced Metastatic Castration-Resistant Prostate Cancer. Clinical Cancer Research. 25(2). 687–697. 44 indexed citations
16.
Thangavel, Chellappagounder, Ettickan Boopathi, Yi Liu, et al.. (2018). Therapeutic Challenge with a CDK 4/6 Inhibitor Induces an RB-Dependent SMAC-Mediated Apoptotic Response in Non–Small Cell Lung Cancer. Clinical Cancer Research. 24(6). 1402–1414. 39 indexed citations
17.
McNair, Christopher, Kexin Xu, Amy C. Mandigo, et al.. (2017). Differential impact of RB status on E2F1 reprogramming in human cancer. Journal of Clinical Investigation. 128(1). 341–358. 70 indexed citations
18.
McNair, Christopher, Alfonso Urbanucci, Clay E.S. Comstock, et al.. (2016). Cell cycle-coupled expansion of AR activity promotes cancer progression. Oncogene. 36(12). 1655–1668. 29 indexed citations
19.
Augello, Michael A., Craig J. Burd, Ruth Birbe, et al.. (2012). Convergence of oncogenic and hormone receptor pathways promotes metastatic phenotypes. Journal of Clinical Investigation. 123(1). 493–508. 35 indexed citations
20.
McNair, Christopher, et al.. (2011). Effects of estrogen on the neuromuscular system in the embryonic zebrafish (Danio rerio). Brain Research. 1381. 106–116. 20 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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