Erika M. Cook

558 total citations
18 papers, 433 citations indexed

About

Erika M. Cook is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Genetics. According to data from OpenAlex, Erika M. Cook has authored 18 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Immunology and 8 papers in Genetics. Recurrent topics in Erika M. Cook's work include Monoclonal and Polyclonal Antibodies Research (10 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Complement system in diseases (7 papers). Erika M. Cook is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Complement system in diseases (7 papers). Erika M. Cook collaborates with scholars based in United States, Netherlands and United Kingdom. Erika M. Cook's co-authors include Margaret A. Lindorfer, Ronald P. Taylor, Adrian Wiestner, Paul W.H.I. Parren, Frank J. Beurskens, Junpeng Qi, Eman L. Dadashian, Christoph Rader, Richard Burack and Clive S. Zent and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

Erika M. Cook

17 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erika M. Cook United States 9 224 172 150 111 106 18 433
Christophe Arnoult France 10 199 0.9× 158 0.9× 139 0.9× 43 0.4× 72 0.7× 15 420
J.M. MacSween Canada 14 210 0.9× 128 0.7× 144 1.0× 71 0.6× 91 0.9× 43 472
Ganesh M. Shankar United States 6 236 1.1× 166 1.0× 115 0.8× 28 0.3× 72 0.7× 8 369
Kaitlyn Rogers United States 6 153 0.7× 336 2.0× 161 1.1× 43 0.4× 138 1.3× 11 482
Xing-Mei Cao China 11 188 0.8× 43 0.3× 191 1.3× 34 0.3× 218 2.1× 33 509
S. Goldberg United States 11 288 1.3× 63 0.4× 124 0.8× 32 0.3× 182 1.7× 15 439
Azam Roohi Iran 11 116 0.5× 44 0.3× 168 1.1× 57 0.5× 66 0.6× 23 355
Kei Haniuda Japan 11 449 2.0× 51 0.3× 147 1.0× 20 0.2× 70 0.7× 22 607
Olga Ignatovich United Kingdom 7 175 0.8× 219 1.3× 187 1.2× 41 0.4× 43 0.4× 12 366
Christine W. Bruggeman Netherlands 9 234 1.0× 168 1.0× 152 1.0× 35 0.3× 62 0.6× 14 415

Countries citing papers authored by Erika M. Cook

Since Specialization
Citations

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

Fields of papers citing papers by Erika M. Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erika M. Cook. 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 Erika M. Cook. The network helps show where Erika M. Cook may publish in the future.

Co-authorship network of co-authors of Erika M. Cook

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

All Works

18 of 18 papers shown
1.
Banerjee, Gargi, Feng Mu, Ming‐Yuan Cheng, et al.. (2023). EE699 Economic Burden of Propionic Acidemia by Age Stratum in the United States. Value in Health. 26(12). S188–S189.
2.
Oostindie, Simone C., Hilma J. van der Horst, Margaret A. Lindorfer, et al.. (2019). CD20 and CD37 antibodies synergize to activate complement by Fc-mediated clustering. Haematologica. 104(9). 1841–1852. 40 indexed citations
3.
Qi, Junpeng, Xiuling Li, Haiyong Peng, et al.. (2018). Potent and selective antitumor activity of a T cell-engaging bispecific antibody targeting a membrane-proximal epitope of ROR1. Proceedings of the National Academy of Sciences. 115(24). E5467–E5476. 62 indexed citations
4.
Baptista, Maria João, Sarah E.M. Herman, Erika M. Cook, et al.. (2018). Ibrutinib Increases the Clonality of TCR Repertoire in Patients with Chronic Lymphocytic Leukemia. Blood. 132(Supplement 1). 238–238. 4 indexed citations
5.
Robinson, Hannah R., Junpeng Qi, Erika M. Cook, et al.. (2018). A CD19/CD3 bispecific antibody for effective immunotherapy of chronic lymphocytic leukemia in the ibrutinib era. Blood. 132(5). 521–532. 89 indexed citations
7.
Ahn, Inhye E., Xin Tian, Maher Albitar, et al.. (2018). Validation of Clinical Prognostic Models and Integration of Genetic Biomarkers of Drug Resistance in CLL Patients Treated with Ibrutinib. Blood. 132(Supplement 1). 186–186. 7 indexed citations
8.
Taylor, Ronald P., Margaret A. Lindorfer, Simone C. Oostindie, et al.. (2018). Hexamerization-enhanced CD37 and CD20 antibodies synergize in CDC to kill patient-derived CLL cells with unprecedented potency. Molecular Immunology. 102. 218–218. 1 indexed citations
9.
Sun, Clare, Camilia Soof, Sarah E. M. Herman, et al.. (2017). Serum B-Cell Maturation Antigen As a Biomarker for Chronic Lymphocytic Leukemia Treated with Ibrutinib. Blood. 130. 4031–4031. 2 indexed citations
10.
Taylor, Ronald P., Margaret A. Lindorfer, Erika M. Cook, et al.. (2017). Hexamerization-enhanced CD20 antibody mediates complement-dependent cytotoxicity in serum genetically deficient in C9. Clinical Immunology. 181. 24–28. 11 indexed citations
11.
Robinson, Hannah R., Junpeng Qi, Sivasubramanian Baskar, et al.. (2017). Activity of CD19/CD3 Bispecific Antibodies in Chronic Lymphocytic Leukemia. Blood. 130(Suppl_1). 799–799. 2 indexed citations
12.
Denk, Stephanie, Ronald P. Taylor, Rebecca Wiegner, et al.. (2017). Complement C5a‐Induced Changes in Neutrophil Morphology During Inflammation. Scandinavian Journal of Immunology. 86(3). 143–155. 64 indexed citations
13.
Cook, Erika M., Margaret A. Lindorfer, Simone C. Oostindie, et al.. (2016). Antibodies That Efficiently Form Hexamers upon Antigen Binding Can Induce Complement-Dependent Cytotoxicity under Complement-Limiting Conditions. The Journal of Immunology. 197(5). 1762–1775. 48 indexed citations
14.
Lindorfer, Margaret A., Erika M. Cook, Edimara S. Reis, et al.. (2016). Compstatin Cp40 blocks hematin-mediated deposition of C3b fragments on erythrocytes: Implications for treatment of malarial anemia. Clinical Immunology. 171. 32–35. 19 indexed citations
15.
Taylor, Ronald P., Margaret A. Lindorfer, Erika M. Cook, et al.. (2016). Antibodies that efficiently form hexamers upon antigen binding can induce complement-dependent cytotoxicity under complement-limiting conditions. Immunobiology. 221(10). 1132–1132. 1 indexed citations
16.
Lindorfer, Margaret A., Erika M. Cook, Clive S. Zent, et al.. (2015). Real-time analysis of the detailed sequence of cellular events in mAb-mediated complement-dependent cytotoxicity of B-cell lines and of chronic lymphocytic leukemia B-cells. Molecular Immunology. 70. 13–23. 23 indexed citations
17.
Beurskens, Frank J., Marleen Voorhorst, Patrick Engelberts, et al.. (2015). Human IgG is produced in a pro-form that requires clipping of C-terminal lysines for maximal complement activation. mAbs. 7(4). 672–680. 51 indexed citations
18.
Asher, Wesley B., et al.. (2007). Two Model System of the α1A-Adrenoceptor Docked with Selected Ligands. Journal of Chemical Information and Modeling. 47(5). 1906–1912. 5 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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