Jessica M. Salmon

2.0k total citations
18 papers, 556 citations indexed

About

Jessica M. Salmon is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Jessica M. Salmon has authored 18 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hematology, 10 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Jessica M. Salmon's work include Acute Myeloid Leukemia Research (10 papers), Histone Deacetylase Inhibitors Research (6 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Jessica M. Salmon is often cited by papers focused on Acute Myeloid Leukemia Research (10 papers), Histone Deacetylase Inhibitors Research (6 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Jessica M. Salmon collaborates with scholars based in Australia, United States and France. Jessica M. Salmon's co-authors include David J. Curtis, Margaret A. Goodell, George P. Souroullas, Fred Sablitzky, Ricky W. Johnstone, Benjamin P. Martin, Stephen M. Jane, Nicholas J. Slater, Mark A. Hall and Matthew P. McCormack and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Jessica M. Salmon

18 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jessica M. Salmon Australia 11 367 313 88 85 78 18 556
Stephen J. Loughran Australia 10 315 0.9× 268 0.9× 95 1.1× 110 1.3× 61 0.8× 14 536
Seishi Ogawa Japan 5 285 0.8× 347 1.1× 118 1.3× 95 1.1× 86 1.1× 11 508
Keegan Rowe Canada 4 327 0.9× 264 0.8× 199 2.3× 66 0.8× 76 1.0× 6 554
Marie Sigurd Hasemann Denmark 12 418 1.1× 266 0.8× 135 1.5× 51 0.6× 38 0.5× 16 582
Katie L. Kathrein United States 8 382 1.0× 149 0.5× 132 1.5× 31 0.4× 102 1.3× 16 563
Miao-Chia Lo United States 15 560 1.5× 164 0.5× 54 0.6× 40 0.5× 74 0.9× 19 693
Maryanne Trevisan Canada 9 175 0.5× 218 0.7× 254 2.9× 83 1.0× 58 0.7× 9 494
Masuzu Ueda Japan 8 191 0.5× 227 0.7× 68 0.8× 128 1.5× 25 0.3× 19 410
PD Aplan United States 7 386 1.1× 236 0.8× 104 1.2× 59 0.7× 45 0.6× 8 603
Darin P. O’Brien United States 7 331 0.9× 299 1.0× 91 1.0× 70 0.8× 19 0.2× 14 503

Countries citing papers authored by Jessica M. Salmon

Since Specialization
Citations

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

Fields of papers citing papers by Jessica M. Salmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica M. Salmon

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica M. Salmon. A scholar is included among the top collaborators of Jessica M. Salmon 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 Jessica M. Salmon. Jessica M. Salmon 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.
Salmon, Jessica M., et al.. (2025). KLF feedback loops in innate immunity. Frontiers in Immunology. 16. 1606277–1606277. 1 indexed citations
2.
Tremblay, Cédric S., Hannah McCalmont, Véronique Litalien, et al.. (2020). Small molecule inhibition of Dynamin-dependent endocytosis targets multiple niche signals and impairs leukemia stem cells. Nature Communications. 11(1). 6211–6211. 23 indexed citations
3.
Chua, Chong Chyn, Andrew W. Roberts, John Reynolds, et al.. (2020). Chemotherapy and Venetoclax in Elderly Acute Myeloid Leukemia Trial (CAVEAT): A Phase Ib Dose-Escalation Study of Venetoclax Combined With Modified Intensive Chemotherapy. Journal of Clinical Oncology. 38(30). 3506–3517. 117 indexed citations
4.
Salmon, Jessica M., et al.. (2020). KLF3 Represses the Inflammatory Response in Macrophages. Blood. 136(Supplement 1). 36–36. 1 indexed citations
5.
Chua, Chong Chyn, John Reynolds, Jessica M. Salmon, et al.. (2019). Anti-Leukemic Activity of Single Agent Venetoclax in Newly Diagnosed Acute Myeloid Leukemia: A Sub-Set Analysis of the Caveat Study. Blood. 134(Supplement_1). 462–462. 6 indexed citations
6.
Salmon, Jessica M., Giovanna Pomilio, Donia M. Moujalled, et al.. (2018). Combined BCL-2 and HDAC Targeting Has Potent and TP53 Independent Activity In AML. Experimental Hematology. 64. S99–S100. 2 indexed citations
7.
Salmon, Jessica M., Giovanna Pomilio, Donia M. Moujalled, et al.. (2018). Combined BCL-2 and HDAC Targeting Has Potent and TP53 Independent Activity in AML. Blood. 132(Supplement 1). 1426–1426. 3 indexed citations
8.
Wei, Andrew H., Chong Chyn Chua, Ing Soo Tiong, et al.. (2018). Molecular Patterns of Response and Outcome in the Chemotherapy and Venetoclax in Elderly AML Trial (CAVEAT study). Blood. 132(Supplement 1). 333–333. 15 indexed citations
9.
Salmon, Jessica M., Michael Bots, Eva Vidacs, et al.. (2015). Combining the differentiating effect of panobinostat with the apoptotic effect of arsenic trioxide leads to significant survival benefit in a model of t(8;21) acute myeloid leukemia. Clinical Epigenetics. 7(1). 178–178. 16 indexed citations
10.
Bots, Michael, Inge Verbrugge, Benjamin P. Martin, et al.. (2014). Differentiation therapy for the treatment of t(8;21) acute myeloid leukemia using histone deacetylase inhibitors. Blood. 123(9). 1341–1352. 99 indexed citations
11.
Newbold, Andrea, Jessica M. Salmon, Benjamin P. Martin, Kim Stanley, & Ricky W. Johnstone. (2013). The role of p21waf1/cip1 and p27Kip1 in HDACi-mediated tumor cell death and cell cycle arrest in the Eμ-myc model of B-cell lymphoma. Oncogene. 33(47). 5415–5423. 45 indexed citations
13.
Souroullas, George P., Jessica M. Salmon, Fred Sablitzky, David J. Curtis, & Margaret A. Goodell. (2009). Adult Hematopoietic Stem and Progenitor Cells Require Either Lyl1 or Scl for Survival. Cell stem cell. 4(2). 180–186. 101 indexed citations
14.
Souroullas, George P., Jessica M. Salmon, David J. Curtis, & Margaret A. Goodell. (2008). Lyl1 and Scl Dosage Is Critical for Adult Hematopoietic Stem Cell Function and Survival. Blood. 112(11). 281–281. 4 indexed citations
15.
Salmon, Jessica M., Nicholas J. Slater, Mark A. Hall, et al.. (2007). Aberrant mast-cell differentiation in mice lacking the stem-cell leukemia gene. Blood. 110(10). 3573–3581. 24 indexed citations
16.
McCormack, Matthew P., Mark A. Hall, Simone M. Schoenwaelder, et al.. (2006). A critical role for the transcription factor Scl in platelet production during stress thrombopoiesis. Blood. 108(7). 2248–2256. 35 indexed citations
17.
Hall, Mark A., Nicholas J. Slater, C. Glenn Begley, et al.. (2005). Functional but Abnormal Adult Erythropoiesis in the Absence of the Stem Cell Leukemia Gene. Molecular and Cellular Biology. 25(15). 6355–6362. 42 indexed citations
18.
Curtis, David J., et al.. (2005). The Stem Cell Leukemia Gene Regulates Erythroid and Megakaryocyte Progenitor Growth by Distinct Mechanisms.. Blood. 106(11). 831–831. 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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