Christine Mantis

607 total citations
12 papers, 360 citations indexed

About

Christine Mantis is a scholar working on Molecular Biology, Hematology and Organic Chemistry. According to data from OpenAlex, Christine Mantis has authored 12 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Hematology and 1 paper in Organic Chemistry. Recurrent topics in Christine Mantis's work include Multiple Myeloma Research and Treatments (3 papers), RNA Interference and Gene Delivery (2 papers) and Protein Degradation and Inhibitors (2 papers). Christine Mantis is often cited by papers focused on Multiple Myeloma Research and Treatments (3 papers), RNA Interference and Gene Delivery (2 papers) and Protein Degradation and Inhibitors (2 papers). Christine Mantis collaborates with scholars based in United States, Australia and Denmark. Christine Mantis's co-authors include Irawati Kandela, Fraser Aird, Robert Wild, Prafulla C. Gokhale, Andrew P. Crew, Shripad V. Bhagwat, Lee D. Arnold, Yan Yao, Peter J. Houghton and Jonathan A. Pachter and has published in prestigious journals such as Blood, Cancer Research and Clinical Cancer Research.

In The Last Decade

Christine Mantis

12 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christine Mantis United States 6 257 64 46 46 38 12 360
Lavona Casson United States 11 581 2.3× 60 0.9× 55 1.2× 60 1.3× 28 0.7× 14 690
Péter Lázár Hungary 7 185 0.7× 146 2.3× 122 2.7× 55 1.2× 20 0.5× 9 426
Timothy A. Yap United Kingdom 8 289 1.1× 200 3.1× 44 1.0× 44 1.0× 72 1.9× 10 568
Antonio Piñeiro Spain 14 248 1.0× 76 1.2× 18 0.4× 46 1.0× 9 0.2× 43 647
Toshiyuki Sekine Japan 10 340 1.3× 100 1.6× 126 2.7× 82 1.8× 30 0.8× 14 528
Lindsey T. Brinton United States 10 338 1.3× 56 0.9× 28 0.6× 46 1.0× 18 0.5× 18 458
Christian Schmithals Germany 12 313 1.2× 61 1.0× 90 2.0× 68 1.5× 18 0.5× 18 478
Zhaoliang Liu China 11 226 0.9× 97 1.5× 22 0.5× 55 1.2× 20 0.5× 17 420
Ryan Robb United States 7 144 0.6× 105 1.6× 48 1.0× 27 0.6× 15 0.4× 18 282
Alison Howarth United Kingdom 10 158 0.6× 40 0.6× 11 0.2× 34 0.7× 16 0.4× 16 285

Countries citing papers authored by Christine Mantis

Since Specialization
Citations

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

Fields of papers citing papers by Christine Mantis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Mantis

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

All Works

12 of 12 papers shown
1.
Sharon, David, Claudie Hecquet, Cormac Cosgrove, et al.. (2023). Bivalent BCMA Binding and Low Affinity CD3 T-Cell Engagement By Abbv-383 Drives Sustained Activation with Reduced T-Cell Exhaustion in Preclinical Models of Multiple Myeloma. Blood. 142(Supplement 1). 4666–4666. 4 indexed citations
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Aird, Fraser, et al.. (2017). Replication Study: BET bromodomain inhibition as a therapeutic strategy to target c-Myc. eLife. 6. 25 indexed citations
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Dam, Duncan Hieu M., Kayla S. B. Culver, Irawati Kandela, et al.. (2014). Biodistribution and in vivo toxicity of aptamer-loaded gold nanostars. Nanomedicine Nanotechnology Biology and Medicine. 11(3). 671–679. 73 indexed citations
7.
Williams, Stephen J., Irawati Kandela, Fraser Aird, et al.. (2013). Study 19: Replication of Delmore et al., 2011 (Cell). OSF Preprints (OSF Preprints). 1 indexed citations
8.
Mantis, Christine, Fraser Aird, Nicole Perfito, et al.. (2013). Study 15: Replication of Sugahara et al., 2010 (Science). OSF Preprints (OSF Preprints). 1 indexed citations
9.
Bhagwat, Shripad V., Prafulla C. Gokhale, Andrew P. Crew, et al.. (2011). Preclinical Characterization of OSI-027, a Potent and Selective Inhibitor of mTORC1 and mTORC2: Distinct from Rapamycin. Molecular Cancer Therapeutics. 10(8). 1394–1406. 159 indexed citations
10.
McKinley, Eliot T., Joseph E. Bugaj, Ping Zhao, et al.. (2011). 18FDG-PET Predicts Pharmacodynamic Response to OSI-906, a Dual IGF-1R/IR Inhibitor, in Preclinical Mouse Models of Lung Cancer. Clinical Cancer Research. 17(10). 3332–3340. 41 indexed citations
11.
O’Connor, Matthew, Amrita Mohan, Suzanne C. Brady, et al.. (2011). Abstract 4463: OSI-027, a dual mTORC1/mTORC2 inhibitor, induces autophagy in cancer cells. Cancer Research. 71(8_Supplement). 4463–4463. 1 indexed citations
12.
Gokhale, Prafulla C., Shripad V. Bhagwat, Anne Cooke, et al.. (2008). 250 ORAL OXA-01, a novel potent mTORC1/TORC2 kinase inhibitor, demonstrates broad spectrum antitumor activity in preclinical models of human cancer. European Journal of Cancer Supplements. 6(12). 82–82. 1 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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