Chelsea Hope

615 total citations
18 papers, 475 citations indexed

About

Chelsea Hope is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Chelsea Hope has authored 18 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Hematology and 7 papers in Immunology. Recurrent topics in Chelsea Hope's work include Multiple Myeloma Research and Treatments (8 papers), Immunotherapy and Immune Responses (5 papers) and Immune cells in cancer (4 papers). Chelsea Hope is often cited by papers focused on Multiple Myeloma Research and Treatments (8 papers), Immunotherapy and Immune Responses (5 papers) and Immune cells in cancer (4 papers). Chelsea Hope collaborates with scholars based in United States and Greece. Chelsea Hope's co-authors include Fotis Asimakopoulos, Natalie S. Callander, Peiman Hematti, Shigeki Miyamoto, Jeffrey L. Jensen, Ιωάννα Μαρουλάκου, Catherine P. Leith, Adam Pagenkopf, Michael G. Johnson and Jaehyup Kim and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Chelsea Hope

17 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chelsea Hope United States 10 205 193 169 130 107 18 475
Shenghao Jin United States 11 176 0.9× 494 2.6× 90 0.5× 78 0.6× 134 1.3× 21 722
Érika Cosset Switzerland 12 122 0.6× 289 1.5× 111 0.7× 25 0.2× 128 1.2× 24 526
Susan Sutton United States 9 211 1.0× 344 1.8× 303 1.8× 164 1.3× 84 0.8× 10 742
Ettore Meccia Italy 12 152 0.7× 616 3.2× 132 0.8× 104 0.8× 133 1.2× 18 837
Katerina Gkirtzimanaki Greece 9 96 0.5× 242 1.3× 195 1.2× 36 0.3× 71 0.7× 11 481
Susanna Teppo Finland 11 118 0.6× 237 1.2× 43 0.3× 69 0.5× 139 1.3× 16 419
Simon J. Foulcer United States 5 78 0.4× 167 0.9× 65 0.4× 35 0.3× 129 1.2× 7 389
Shannon M. Buckley United States 13 165 0.8× 598 3.1× 70 0.4× 141 1.1× 71 0.7× 19 770
Tsuneyoshi Hamada Japan 4 204 1.0× 182 0.9× 183 1.1× 216 1.7× 23 0.2× 5 535
W Keeble United States 8 142 0.7× 245 1.3× 137 0.8× 105 0.8× 40 0.4× 8 481

Countries citing papers authored by Chelsea Hope

Since Specialization
Citations

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

Fields of papers citing papers by Chelsea Hope

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chelsea Hope

This figure shows the co-authorship network connecting the top 25 collaborators of Chelsea Hope. A scholar is included among the top collaborators of Chelsea Hope 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 Chelsea Hope. Chelsea Hope 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
2.
Kaur, Raghbir, Kathleen Hopkins, Yinxiang Wu, et al.. (2023). A feasibility and acceptability study of screening the parents/guardians of pediatric dental patients for the social determinants of health. Pilot and Feasibility Studies. 9(1). 36–36. 3 indexed citations
3.
Papadas, Athanasios, Gauri Deb, Adam Officer, et al.. (2022). Stromal remodeling regulates dendritic cell abundance and activity in the tumor microenvironment. Cell Reports. 40(7). 111201–111201. 21 indexed citations
4.
Gordon, Michael S., Richard D. Carvajal, Alexander I. Spira, et al.. (2021). Phase 1b/2a study of PLX2853, a small molecule BET inhibitor, in subjects with advanced solid tumors and lymphoma.. Journal of Clinical Oncology. 39(15_suppl). 3018–3018. 4 indexed citations
5.
Mims, Alice S., Melhem Solh, Jennifer N. Saultz, et al.. (2021). Final Results of a Phase 1b Study of BET Inhibitor PLX2853 in Patients with Relapsed or Refractory Acute Myeloid Leukemia or High Risk Myelodysplastic Syndrome. Blood. 138(Supplement 1). 3420–3420. 2 indexed citations
6.
Papadas, Athanasios, Zachary Morrow, Adam Pagenkopf, et al.. (2019). Versican Proteolytic Fragments (Matrikines) Regulate the Intratumoral Dendritic Cell Milieu In Vivo: Implications for in Situ Tumor Vaccination. Blood. 134(Supplement_1). 1210–1210. 2 indexed citations
7.
Pagenkopf, Adam, Binod Dhakal, Chelsea Hope, et al.. (2017). Versican (VCAN) Proteolysis Predicts T-Cell Infiltration in Myeloma Bone Marrow Post- Autologous Stem Cell Transplant (ASCT). Blood. 130. 1756–1756. 1 indexed citations
8.
Markovina, Stephanie, Natalie S. Callander, Shelly M. Wuerzberger‐Davis, et al.. (2017). Hyaluronan and proteoglycan link protein 1 (HAPLN1) activates bortezomib-resistant NF-κB activity and increases drug resistance in multiple myeloma. Journal of Biological Chemistry. 293(7). 2452–2465. 35 indexed citations
9.
Hope, Chelsea, Philip B. Emmerich, Athanasios Papadas, et al.. (2017). Versican-Derived Matrikines Regulate Batf3–Dendritic Cell Differentiation and Promote T Cell Infiltration in Colorectal Cancer. The Journal of Immunology. 199(5). 1933–1941. 89 indexed citations
10.
Asimakopoulos, Fotis, et al.. (2017). Extracellular matrix and the myeloid-in-myeloma compartment: balancing tolerogenic and immunogenic inflammation in the myeloma niche. Journal of Leukocyte Biology. 102(2). 265–275. 32 indexed citations
11.
Hope, Chelsea, Simon J. Foulcer, Justin C. Jagodinsky, et al.. (2016). Immunoregulatory roles of versican proteolysis in the myeloma microenvironment. Blood. 128(5). 680–685. 115 indexed citations
12.
Jensen, Jeffrey L., Alexander L. Rakhmilevich, Erika Héninger, et al.. (2015). Tumoricidal Effects of Macrophage-Activating Immunotherapy in a Murine Model of Relapsed/Refractory Multiple Myeloma. Cancer Immunology Research. 3(8). 881–890. 22 indexed citations
13.
Jensen, Jeffrey L., Chelsea Hope, & Fotis Asimakopoulos. (2015). Deploying myeloid cells against myeloma. OncoImmunology. 5(3). e1090076–e1090076. 2 indexed citations
14.
Hope, Chelsea, Erika Héninger, Jeffrey L. Jensen, et al.. (2014). TPL2 kinase regulates the inflammatory milieu of the myeloma niche. Blood. 123(21). 3305–3315. 75 indexed citations
15.
Asimakopoulos, Fotis, Jaehyup Kim, Ryan A. Denu, et al.. (2013). Macrophages in multiple myeloma: emerging concepts and therapeutic implications. Leukemia & lymphoma. 54(10). 2112–2121. 37 indexed citations
16.
Hope, Chelsea, Jaehyup Kim, Jeffrey L. Jensen, et al.. (2012). MAP3K8 kinase regulates myeloma growth by cell‐autonomous and non‐autonomous mechanisms involving myeloma‐associated monocytes/macrophages. British Journal of Haematology. 160(6). 779–784. 11 indexed citations
17.
Hope, Chelsea, Jaehyup Kim, Jeffrey L. Jensen, et al.. (2012). Molecular Pathways That Determine the Activation State of Macrophages within the Myeloma Niche. Blood. 120(21). 443–443. 1 indexed citations
18.
Woods, Daniel P., Chelsea Hope, & Simon T. Malcomber. (2011). Phylogenomic Analyses of the BARREN STALK1/LAX PANICLE1 (BA1/LAX1) Genes and Evidence for Their Roles During Axillary Meristem Development. Molecular Biology and Evolution. 28(7). 2147–2159. 23 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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