Cassandra Love

3.8k total citations
23 papers, 684 citations indexed

About

Cassandra Love is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Cassandra Love has authored 23 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pathology and Forensic Medicine, 10 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Cassandra Love's work include Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Immune Cell Function and Interaction (6 papers). Cassandra Love is often cited by papers focused on Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Immune Cell Function and Interaction (6 papers). Cassandra Love collaborates with scholars based in United States, Denmark and United Kingdom. Cassandra Love's co-authors include Sandeep S. Davé, Neelanjan Mukherjee, Uwe Ohler, Bryan R. Cullen, Rebecca L. Skalsky, David L. Corcoran, Eva Gottwein, Jeffrey D. Nusbaum, Markus Hafner and Thomas Tuschl and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Cassandra Love

21 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cassandra Love United States 11 342 250 221 179 163 23 684
Walter Hanel United States 12 418 1.2× 436 1.7× 225 1.0× 165 0.9× 287 1.8× 39 910
Jamie P. Nourse Australia 16 274 0.8× 479 1.9× 172 0.8× 334 1.9× 286 1.8× 36 959
Ulrik Ralfkiær Denmark 18 423 1.2× 145 0.6× 198 0.9× 214 1.2× 248 1.5× 25 899
Katerina Vrzalikova United Kingdom 12 254 0.7× 392 1.6× 91 0.4× 229 1.3× 177 1.1× 21 671
Kyung Ju Ryu South Korea 16 306 0.9× 242 1.0× 157 0.7× 240 1.3× 160 1.0× 29 644
Loraine Karran United Kingdom 7 237 0.7× 329 1.3× 268 1.2× 438 2.4× 295 1.8× 7 882
Rocío Salgado Spain 11 169 0.5× 176 0.7× 92 0.4× 110 0.6× 91 0.6× 32 520
Tomohiro Aoki Japan 16 177 0.5× 304 1.2× 98 0.4× 257 1.4× 184 1.1× 45 686
Makiko Takizawa Japan 13 352 1.0× 119 0.5× 82 0.4× 79 0.4× 316 1.9× 45 768
Martina Prochazkova‐Carlotti France 16 198 0.6× 263 1.1× 106 0.5× 334 1.9× 142 0.9× 31 778

Countries citing papers authored by Cassandra Love

Since Specialization
Citations

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

Fields of papers citing papers by Cassandra Love

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cassandra Love

This figure shows the co-authorship network connecting the top 25 collaborators of Cassandra Love. A scholar is included among the top collaborators of Cassandra Love 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 Cassandra Love. Cassandra Love 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.
Zhou, Jianli, Cassandra Love, Lanie E. Happ, et al.. (2022). Development of a Potent DNA Damaging Agent LP-284 for Treatment of Mantle Cell Lymphoma. Blood. 140(Supplement 1). 4940–4941. 2 indexed citations
2.
Wang, Jie, Tushar Dave, Nicholas S. Davis, et al.. (2020). Non-Hodgkin Lymphomas: Malignancies Arising from Mature B Cells. Cold Spring Harbor Perspectives in Medicine. 11(3). a034843–a034843. 10 indexed citations
3.
Pedersen, Mette Ølgod, Anupama Reddy, Cassandra Love, et al.. (2019). PD‐L1 expression is low in large B‐cell lymphoma with MYC or double‐hit translocation. Hematological Oncology. 37(4). 375–382. 7 indexed citations
4.
Mater, David Van, Eric S. Xu, Anupama Reddy, et al.. (2018). Injury promotes sarcoma development in a genetically and temporally restricted manner. JCI Insight. 3(20). 10 indexed citations
5.
Moore, Amanda J., Cassandra Love, Anupama Reddy, et al.. (2018). Id Proteins Suppress E2A-Driven Invariant Natural Killer T Cell Development prior to TCR Selection. Frontiers in Immunology. 9. 42–42. 11 indexed citations
6.
Davis, Nicholas S., Matthew McKinney, Anupama Reddy, et al.. (2018). Novel Mechanisms for Resistance to Targeted Therapy Identified through Machine Learning Approaches in 1167 RNA-Seq Drug Exposure Profiles in Lymphoma. Blood. 132(Supplement 1). 1370–1370. 3 indexed citations
7.
Pedersen, Mette Ølgod, Anupama Reddy, Cassandra Love, et al.. (2018). PD-L1 Expression Is Low in Large B-Cell Lymphoma with MYC or Double-Hit Translocation. Blood. 132(Supplement 1). 4113–4113. 2 indexed citations
8.
Bouchlaka, Myriam N., Andrea B. Moffitt, Jaehyup Kim, et al.. (2017). Human Mesenchymal Stem Cell–Educated Macrophages Are a Distinct High IL-6–Producing Subset that Confer Protection in Graft-versus-Host-Disease and Radiation Injury Models. Biology of Blood and Marrow Transplantation. 23(6). 897–905. 52 indexed citations
10.
Healy, Jane, Adrienne Nugent, Rachel E. Rempel, et al.. (2016). GNA13 loss in germinal center B cells leads to impaired apoptosis and promotes lymphoma in vivo. Blood. 127(22). 2723–2731. 46 indexed citations
11.
Love, Cassandra, et al.. (2015). ID3 Loss In Vivo Synergizes with MYC-Driven Oncogenesis in Burkitt Lymphoma. Blood. 126(23). 3906–3906.
13.
Ondrejka, Sarah L., Eric Tse, Eric D. Hsi, et al.. (2015). Whole Exome Sequencing of Type 1 and Type 2 Enteropathy-Associated T Cell Lymphoma Reveals Genetic Basis of Eatl Oncogenesis. Blood. 126(23). 575–575. 3 indexed citations
14.
Zhang, Jenny, Dereje D. Jima, Andrea B. Moffitt, et al.. (2014). The genomic landscape of mantle cell lymphoma is related to the epigenetically determined chromatin state of normal B cells. Blood. 123(19). 2988–2996. 159 indexed citations
15.
McKinney, Matthew, Anne Beaven, Andrea B. Moffitt, et al.. (2014). Chemical Genomics Reveals JAK STAT Activation As a Mechanism of Resistance to HDAC Inhibitors in B Cell Lymphomas. Blood. 124(21). 271–271. 1 indexed citations
16.
Walsh, Katherine, Matthew McKinney, Cassandra Love, et al.. (2013). PAK1 Mediates Resistance to PI3K Inhibition in Lymphomas. Clinical Cancer Research. 19(5). 1106–1115. 45 indexed citations
17.
Love, Cassandra & Sandeep S. Davé. (2013). MicroRNA Expression Profiling Using Microarrays. Methods in molecular biology. 999. 285–296. 14 indexed citations
18.
Lugar, Patricia, Cassandra Love, Amrie C. Grammer, Sandeep S. Davé, & Peter E. Lipsky. (2012). Molecular Characterization of Circulating Plasma Cells in Patients with Active Systemic Lupus Erythematosus. PLoS ONE. 7(9). e44362–e44362. 45 indexed citations
19.
Gottwein, Eva, David L. Corcoran, Neelanjan Mukherjee, et al.. (2011). Viral MicroRNA Targetome of KSHV-Infected Primary Effusion Lymphoma Cell Lines. Cell Host & Microbe. 10(5). 515–526. 254 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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