Jenny L. Smith

2.3k total citations · 1 hit paper
44 papers, 882 citations indexed

About

Jenny L. Smith is a scholar working on Hematology, Molecular Biology and Cancer Research. According to data from OpenAlex, Jenny L. Smith has authored 44 papers receiving a total of 882 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Hematology, 23 papers in Molecular Biology and 10 papers in Cancer Research. Recurrent topics in Jenny L. Smith's work include Acute Myeloid Leukemia Research (28 papers), Protein Degradation and Inhibitors (14 papers) and Cancer Genomics and Diagnostics (6 papers). Jenny L. Smith is often cited by papers focused on Acute Myeloid Leukemia Research (28 papers), Protein Degradation and Inhibitors (14 papers) and Cancer Genomics and Diagnostics (6 papers). Jenny L. Smith collaborates with scholars based in United States, Canada and South Africa. Jenny L. Smith's co-authors include Niels Olson, Lily H. Peng, Arash Mohtashamian, Martin C. Stumpe, Jason Hipp, Yun Liu, Mohammad Norouzi, George E. Dahl, Timo Kohlberger and Soheil Meshinchi and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Jenny L. Smith

42 papers receiving 861 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

2019 302 citations Kunal Nagpal, Davis Foote et al. npj Digital Medicine profile →

Peers

Jenny L. Smith

RNMI

HEMAT

PRM

Hui Zeng China

Eva Krieghoff‐Henning Germany

Ronald Chan Hong Kong

Mingming Xiao China

Seiya Momosaki Japan

Jin Roh South Korea

Yaron Kinar Israel

Juan Zhou China

Shohreh Dickinson United States

Dyke Ferber Germany

Hui Zeng China

Jenny L. Smith

123 ×0.3

157 ×0.5

RNMI

397 ×2.1

109 ×0.7

HEMAT

168 ×1.3

PRM

Citations per year, relative to Jenny L. Smith Jenny L. Smith (= 1×) peers Hui Zeng

Countries citing papers authored by Jenny L. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Jenny L. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenny L. Smith. 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 Jenny L. Smith. The network helps show where Jenny L. Smith may publish in the future.

Co-authorship network of co-authors of Jenny L. Smith

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

All Works

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20 of 20 papers shown

Stratton, Kelly G., Jenny L. Smith, Michael C. Jensen, et al.. (2025). Low Peripheral Blood Counts and Elevated Proinflammatory Cytokines Signal a Poor CD19 Chimeric Antigen Receptor T-cell Response in Acute Lymphoblastic Leukemia. Transplantation and Cellular Therapy. 31(8). 551–564. 1 indexed citations

Tarlock, Katherine, Robert B. Gerbing, Rhonda E. Ries, et al.. (2024). Prognostic impact of cooccurring mutations in FLT3-ITD pediatric acute myeloid leukemia. Blood Advances. 8(9). 2094–2103. 4 indexed citations

Farrar, Jason E., Jenny L. Smith, Megan Othus, et al.. (2023). Long Noncoding RNA Expression Independently Predicts Outcome in Pediatric Acute Myeloid Leukemia. Journal of Clinical Oncology. 41(16). 2949–2962. 13 indexed citations

Pogosova‐Agadjanyan, Era L., Xing Hua, Megan Othus, et al.. (2023). Verification of prognostic expression biomarkers is improved by examining enriched leukemic blasts rather than mononuclear cells from acute myeloid leukemia patients. Biomarker Research. 11(1). 31–31.

Lamble, Adam J., Kohei Hagiwara, Robert B. Gerbing, et al.. (2023). CREBBP Alterations are Associated with A Poor Prognosis in de novo AML. Blood. 141(17). 2156–2159. 6 indexed citations

Bolouri, Hamid, Rhonda E. Ries, Alice Wiedeman, et al.. (2022). Inflammatory bone marrow signaling in pediatric acute myeloid leukemia distinguishes patients with poor outcomes. Nature Communications. 13(1). 7186–7186. 3 indexed citations

Khalid, Syed, et al.. (2022). The impact of smoking and smoking cessation interventions on outcomes following single-level anterior cervical discectomy and fusion procedures. Clinical Neurology and Neurosurgery. 219. 107319–107319. 3 indexed citations

Choudhury, Samrat Roy, Jordan T. Bird, Stephanie D. Byrum, et al.. (2021). Epigenetically Enhanced MED12L in ETO2-GLIS2 Positive Pediatric Acute Megakaryoblastic Leukemia Is Associated with Resistance to the CDK8 Inhibitors. Blood. 138(Supplement 1). 2208–2208. 2 indexed citations

Srivastava, Shivani, Jenny L. Smith, Amanda R. Leonti, et al.. (2021). Therapeutic Targeting of Mesothelin with Chimeric Antigen Receptor T Cells in Acute Myeloid Leukemia. Clinical Cancer Research. 27(20). 5718–5730. 17 indexed citations

10.

Bolouri, Hamid, Rhonda E. Ries, Laura Pardo, et al.. (2021). A B-cell developmental gene regulatory network is activated in infant AML. PLoS ONE. 16(11). e0259197–e0259197. 7 indexed citations

11.

Tarlock, Katherine, Rhonda E. Ries, Yi‐Cheng Wang, et al.. (2021). KMT2A Partial Tandem Duplications (KMT2A-PTD) Is a Rare, but Recurrent Genomic Event in Childhood AML and Associated with High Rate of Co-Occurring FLT3 Mutations. Blood. 138(Supplement 1). 609–609. 1 indexed citations

12.

Smith, Jenny L., Benjamin J. Huang, Rhonda E. Ries, et al.. (2021). Targeting FOLR1 in High-Risk CBF2AT3-GLIS2 AML with Stro-002 FOLR1-Directed Antibody-Drug Conjugate. Blood. 138(Supplement 1). 209–209. 1 indexed citations

13.

Smith, Jenny L., Rhonda E. Ries, Amanda R. Leonti, et al.. (2021). EZH2-Mediated MHC Class II Silencing Drives Immune Evasion in AML with t(16;21) (FUS-ERG). Blood. 138(Supplement 1). 374–374. 2 indexed citations

14.

Wei, Lisa L., Diane L. Trinh, Rhonda E. Ries, et al.. (2020). Integrative Analysis of Single-Cell RNA-Seq and ATAC-Seq Data across Treatment Time Points in Pediatric AML. Blood. 136(Supplement 1). 29–29. 2 indexed citations

15.

Huang, Benjamin J., Jenny L. Smith, Rhonda E. Ries, et al.. (2020). Integrated Stem Cell Signature and Cytomolecular Risk Determination in Pediatric Acute Myeloid Leukemia. Blood. 136(Supplement 1). 28–29. 3 indexed citations

16.

Kaya, Hilal Betül, Deniz Akdemir, Roberto Lozano, et al.. (2019). Genome wide association study of 5 agronomic traits in olive (Olea europaea L.). Scientific Reports. 9(1). 18764–18764. 27 indexed citations

17.

Nagpal, Kunal, Davis Foote, Yun Liu, et al.. (2019). Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. npj Digital Medicine. 2(1). 48–48. 302 indexed citations breakdown →

18.

Liu, Yun, Timo Kohlberger, Mohammad Norouzi, et al.. (2018). Artificial Intelligence–Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists. Archives of Pathology & Laboratory Medicine. 143(7). 859–868. 246 indexed citations

19.

Fan, Yu, Ying Hu, Cu Nguyen, et al.. (2017). Altered Transcriptome Uniquely Associated with AML Vs. Normal Hematopoiesis. Blood. 130. 3792–3792. 1 indexed citations

20.

Smith, Jenny L., Rhonda E. Ries, Todd A. Alonzo, et al.. (2017). The LSC17 Leukemic Stem Cell Signature Predicts Outcome in Pediatric Acute Myeloid Leukemia. Blood. 130. 24–24. 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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