Christopher Schmidt

4.9k total citations
88 papers, 3.3k citations indexed

About

Christopher Schmidt is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Christopher Schmidt has authored 88 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Immunology, 40 papers in Oncology and 29 papers in Molecular Biology. Recurrent topics in Christopher Schmidt's work include Immunotherapy and Immune Responses (33 papers), Immune Cell Function and Interaction (20 papers) and T-cell and B-cell Immunology (20 papers). Christopher Schmidt is often cited by papers focused on Immunotherapy and Immune Responses (33 papers), Immune Cell Function and Interaction (20 papers) and T-cell and B-cell Immunology (20 papers). Christopher Schmidt collaborates with scholars based in Australia, United States and Germany. Christopher Schmidt's co-authors include I S Misko, J. Alejandro López, Denis J. Moss, Scott R. Burrows, T B Sculley, Nicholas K. Hayward, Andreas Suhrbier, K.A.O. Ellem, Michelle A. Neller and Sharon L. Silins and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Christopher Schmidt

86 papers receiving 3.2k citations

Author Peers

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

Author Last Decade Papers Cites
Christopher Schmidt 1.9k 1.5k 1.3k 467 402 88 3.3k
David Berd 2.2k 1.2× 2.2k 1.4× 1.6k 1.3× 269 0.6× 386 1.0× 118 4.4k
Nicole Meyer-Morse 711 0.4× 1.1k 0.7× 1.9k 1.5× 310 0.7× 970 2.4× 11 3.5k
Carol Beadling 927 0.5× 1.3k 0.8× 1.1k 0.8× 221 0.5× 641 1.6× 65 3.0k
Doriana Fruci 1.8k 0.9× 1.3k 0.8× 1.3k 1.0× 300 0.6× 483 1.2× 82 3.3k
Gregory Lizée 2.2k 1.2× 1.8k 1.2× 1.2k 1.0× 125 0.3× 157 0.4× 86 3.4k
Danielle Líénard 5.3k 2.8× 3.3k 2.1× 2.4k 1.9× 396 0.8× 291 0.7× 89 7.1k
Michael L. Salgaller 3.0k 1.6× 1.6k 1.1× 1.9k 1.5× 236 0.5× 157 0.4× 53 4.0k
Lee D. Cranmer 822 0.4× 1.9k 1.2× 1.1k 0.8× 457 1.0× 333 0.8× 127 3.3k
William C. Manning 451 0.2× 606 0.4× 1.3k 1.0× 575 1.2× 283 0.7× 27 3.0k
George Blanck 1.5k 0.8× 1.1k 0.7× 1.0k 0.8× 193 0.4× 287 0.7× 157 2.7k

Countries citing papers authored by Christopher Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Schmidt. A scholar is included among the top collaborators of Christopher Schmidt 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 Schmidt. Christopher Schmidt 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.
Sheng, Yonghua, Karen Lawler, Christopher Schmidt, et al.. (2021). IgM and IgA augmented autoantibody signatures improve early‐stage detection of colorectal cancer prior to nodal and distant spread. Clinical & Translational Immunology. 10(9). e1330–e1330. 13 indexed citations
2.
Pritchard, Antonia L., Julie G. Burel, Michelle A. Neller, et al.. (2015). Exome Sequencing to Predict Neoantigens in Melanoma. Cancer Immunology Research. 3(9). 992–998. 45 indexed citations
3.
Stark, Mitchell, Vanessa Bonazzi, Glen M. Boyle, et al.. (2015). miR-514a regulates the tumour suppressor NF1 and modulates BRAFi sensitivity in melanoma. QUT ePrints (Queensland University of Technology). 1 indexed citations
4.
5.
Dutton‐Regester, Ken, Hojabr Kakavand, Lauren G. Aoude, et al.. (2013). Melanomas of unknown primary have a mutation profile consistent with cutaneous sun‐exposed melanoma. Pigment Cell & Melanoma Research. 26(6). 852–860. 41 indexed citations
6.
Dutton‐Regester, Ken, Darryl Irwin, Lauren G. Aoude, et al.. (2012). A High-Throughput Panel for Identifying Clinically Relevant Mutation Profiles in Melanoma. Molecular Cancer Therapeutics. 11(4). 888–897. 1 indexed citations
7.
Bonazzi, Vanessa, Derek J. Nancarrow, Mitchell Stark, et al.. (2011). Cross-Platform Array Screening Identifies COL1A2, THBS1, TNFRSF10D and UCHL1 as Genes Frequently Silenced by Methylation in Melanoma. PLoS ONE. 6(10). e26121–e26121. 72 indexed citations
8.
Demotte, Nathalie, Grégoire Wieërs, Patrick Van Deŕ Smissen, et al.. (2010). A Galectin-3 Ligand Corrects the Impaired Function of Human CD4 and CD8 Tumor-Infiltrating Lymphocytes and Favors Tumor Rejection in Mice. Cancer Research. 70(19). 7476–7488. 132 indexed citations
9.
Hamilton, Michael, et al.. (2006). An extraordinarily high level of IL-15 expression by a cell line transduced with a modified BMGneo vector displays hypoxic upregulation. Molecular Biotechnology. 33(1). 49–56. 4 indexed citations
10.
Pinzón‐Charry, Alberto, R. Laherty, Tammy Maxwell, et al.. (2005). Population of HLA-DR+ Immature Cells Accumulate in the Blood Dendritic Cell Compartment of Patients with Different Types of Cancer. Queensland's institutional digital repository (The University of Queensland). 66(5). 484–484.
11.
Pavey, Sandra, Peter A. Johansson, Leisl Packer, et al.. (2004). Microarray expression profiling in melanoma reveals a BRAF mutation signature. Oncogene. 23(23). 4060–4067. 136 indexed citations
12.
Ladhams, Andrew, Christopher Schmidt, Garwin Sing, et al.. (2002). Treatment of non‐resectable hepatocellular carcinoma with autologous tumor‐pulsed dendritic cells. Journal of Gastroenterology and Hepatology. 17(8). 889–896. 57 indexed citations
13.
Schmidt, Christopher. (2001). Charting the map of life.. Environmental Health Perspectives. 109(1). A24–9. 1 indexed citations
14.
Sherritt, Martina A., Joy Gardner, Suzanne Elliott, et al.. (2000). Effect of pre-existing cytotoxic T lymphocytes on therapeutic vaccines. European Journal of Immunology. 30(2). 671–677. 20 indexed citations
15.
Schmidt, Christopher. (1999). Poisoning young minds.. Environmental Health Perspectives. 107(6). A302–7. 16 indexed citations
16.
Silins, Sharon L., Simone Cross, Kenia G. Krauer, et al.. (1998). A functional link for major TCR expansions in healthy adults caused by persistent Epstein-Barr virus infection.. Journal of Clinical Investigation. 102(8). 1551–1558. 57 indexed citations
17.
Ellem, K.A.O., Christopher Schmidt, I S Misko, et al.. (1998). The Labyrinthine Ways of Cancer Immunotherapy–T Cell, Tumor Cell Encounter: “How Do I Lose Thee? Let Me Count the Ways”. Advances in cancer research. 75. 203–249. 26 indexed citations
18.
White, Catherine A., Simone Cross, Michael G. Kurilla, et al.. (1996). Recruitment during Infectious Mononucleosis of CD3+CD4+CD8+Virus-Specific Cytotoxic T Cells Which Recognise Epstein–Barr Virus Lytic Antigen BHRF1. Virology. 219(2). 489–492. 32 indexed citations
19.
20.
Burrows, Scott R., T B Sculley, I S Misko, Christopher Schmidt, & Denis J. Moss. (1990). An Epstein-Barr virus-specific cytotoxic T cell epitope in EBV nuclear antigen 3 (EBNA 3).. The Journal of Experimental Medicine. 171(1). 345–349. 155 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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