Christine Tam

2.5k total citations
20 papers, 1.2k citations indexed

About

Christine Tam is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Christine Tam has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Immunology. Recurrent topics in Christine Tam's work include Ion channel regulation and function (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Signaling Pathways in Disease (2 papers). Christine Tam is often cited by papers focused on Ion channel regulation and function (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Signaling Pathways in Disease (2 papers). Christine Tam collaborates with scholars based in United States, France and Denmark. Christine Tam's co-authors include Yvonne Franke, Patrick J. Lupardus, Heidi J.A. Wallweber, Christopher M. Koth, Rami N. Hannoush, Andrea G. Cochran, Inna Zilberleyb, Mike Costa, Ji‐Young Hwang and Eric Bourhis and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Christine Tam

19 papers receiving 1.2k citations

Peers

Christine Tam

ONCOL

IMMUN

RNMI

Wang‐Qing Liu France

Rob Ruijtenbeek Netherlands

Laura Silvian United States

Cecilia Chiu United States

Paul Rose United States

Andreas P. Frei Switzerland

Steven M. Riddle United States

Martin Augustin Germany

E. Salah United Kingdom

Lionel Rougé France

Wang‐Qing Liu France

Christine Tam

805 ×0.9

283 ×0.8

ONCOL

124 ×0.6

IMMUN

194 ×1.7

116 ×1.1

RNMI

Citations per year, relative to Christine Tam Christine Tam (= 1×) peers Wang‐Qing Liu

Countries citing papers authored by Christine Tam

Since Specialization

Citations

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

Fields of papers citing papers by Christine Tam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Tam

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

All Works

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20 of 20 papers shown

Zilberleyb, Inna, et al.. (2023). End‐to‐End Semi‐automated Mid‐scale Protein Screening Platform for Drug Discovery Research. Current Protocols. 3(9). e872–e872.

Noland, Cameron L., Han Chow Chua, Marc Kschonsak, et al.. (2022). Structure-guided unlocking of NaX reveals a non-selective tetrodotoxin-sensitive cation channel. Nature Communications. 13(1). 1416–1416. 19 indexed citations

Kschonsak, Marc, Han Chow Chua, Cameron L. Noland, et al.. (2021). Structural architecture of the human NALCN channelosome. Nature. 603(7899). 180–186. 20 indexed citations

Darwish, Martine, Xinxin Gao, Whitney Shatz-Binder, et al.. (2021). Nanolipoprotein particles for co-delivery of cystine-knot peptides and Fab–based therapeutics. Nanoscale Advances. 3(13). 3929–3941. 1 indexed citations

Darwish, Martine, Sara Wichner, Christine Tam, et al.. (2021). High‐throughput identification of conditional MHCI ligands and scaled‐up production of conditional MHCI complexes. Protein Science. 30(6). 1169–1183. 5 indexed citations

Rougé, Lionel, Nancy Chiang, Micah Steffek, et al.. (2020). Structure of CD20 in complex with the therapeutic monoclonal antibody rituximab. Science. 367(6483). 1224–1230. 124 indexed citations

Darwish, Martine, Whitney Shatz-Binder, Brandon Leonard, et al.. (2020). Nanolipoprotein Particles as a Delivery Platform for Fab Based Therapeutics. Bioconjugate Chemistry. 31(8). 1995–2007. 12 indexed citations

Morris, Otto, Hansong Deng, Christine Tam, & Heinrich Jasper. (2020). Warburg-like Metabolic Reprogramming in Aging Intestinal Stem Cells Contributes to Tissue Hyperplasia. Cell Reports. 33(8). 108423–108423. 46 indexed citations

Mouchess, Maria L., Eric Suto, Bingbing Dai, et al.. (2019). A rationally engineered DNase1-Fc fusion protein ameliorates autoimmune glomerulonephritis. The Journal of Immunology. 202(1_Supplement). 132.4–132.4. 2 indexed citations

10.

Leyh‐Bannurah, Sami‐Ramzi, Dominique Trudel, Mathieu Latour, et al.. (2018). A Multi-Institutional Validation of Gleason Score Derived from Tissue Microarray Cores. Pathology & Oncology Research. 25(3). 979–986. 3 indexed citations

11.

Ferrao, Ryan, Heidi J.A. Wallweber, Hoangdung Ho, et al.. (2016). The Structural Basis for Class II Cytokine Receptor Recognition by JAK1. Structure. 24(6). 897–905. 57 indexed citations

12.

Ahuja, Shivani, Lionel Rougé, Danielle L. Swem, et al.. (2015). Structural Analysis of Bacterial ABC Transporter Inhibition by an Antibody Fragment. Structure. 23(4). 713–723. 29 indexed citations

13.

Wallweber, Heidi J.A., Christine Tam, Yvonne Franke, Melissa A. Starovasnik, & Patrick J. Lupardus. (2014). Structural basis of recognition of interferon-α receptor by tyrosine kinase 2. Nature Structural & Molecular Biology. 21(5). 443–448. 111 indexed citations

14.

Murray, Jeremy, Anthony M. Giannetti, Micah Steffek, et al.. (2013). Tailoring Small Molecules for an Allosteric Site on Procaspase‐6. ChemMedChem. 9(1). 73–77. 24 indexed citations

15.

Lauffer, Benjamin, Robert Mintzer, Rina Fong, et al.. (2013). Histone Deacetylase (HDAC) Inhibitor Kinetic Rate Constants Correlate with Cellular Histone Acetylation but Not Transcription and Cell Viability. Journal of Biological Chemistry. 288(37). 26926–26943. 338 indexed citations

16.

Phillips, Aaron H., Yingnan Zhang, Christian N. Cunningham, et al.. (2013). Conformational dynamics control ubiquitin-deubiquitinase interactions and influence in vivo signaling. Proceedings of the National Academy of Sciences. 110(28). 11379–11384. 45 indexed citations

17.

Stanger, Karen, Micah Steffek, Lijuan Zhou, et al.. (2012). Allosteric peptides bind a caspase zymogen and mediate caspase tetramerization. Nature Chemical Biology. 8(7). 655–660. 28 indexed citations

18.

Bourhis, Eric, Weiru Wang, Christine Tam, et al.. (2011). Wnt Antagonists Bind through a Short Peptide to the First β-Propeller Domain of LRP5/6. Structure. 19(10). 1433–1442. 135 indexed citations

19.

Bourhis, Eric, Christine Tam, Yvonne Franke, et al.. (2010). Reconstitution of a Frizzled8·Wnt3a·LRP6 Signaling Complex Reveals Multiple Wnt and Dkk1 Binding Sites on LRP6. Journal of Biological Chemistry. 285(12). 9172–9179. 173 indexed citations

20.

Tam, Christine, et al.. (2007). Requirement for protein kinase R in interleukin-1α-stimulated effects in cartilage. Biochemical Pharmacology. 74(11). 1636–1641. 14 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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