Daniel Ackerman

2.8k total citations
19 papers, 1.6k citations indexed

About

Daniel Ackerman is a scholar working on Cancer Research, Aging and Molecular Biology. According to data from OpenAlex, Daniel Ackerman has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cancer Research, 6 papers in Aging and 4 papers in Molecular Biology. Recurrent topics in Daniel Ackerman's work include Cancer, Hypoxia, and Metabolism (8 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Circadian rhythm and melatonin (4 papers). Daniel Ackerman is often cited by papers focused on Cancer, Hypoxia, and Metabolism (8 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Circadian rhythm and melatonin (4 papers). Daniel Ackerman collaborates with scholars based in United States, United Kingdom and Russia. Daniel Ackerman's co-authors include M. Celeste Simon, David Gems, Bo Qiu, Ekaterina Bobrovnikova-Marjon, J. Alan Diehl, Brian Keith, Bo Li, Joshua D. Ochocki, Danielle J. Sanchez and Hong Xie and has published in prestigious journals such as Genes & Development, SHILAP Revista de lepidopterología and Hepatology.

In The Last Decade

Daniel Ackerman

19 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Ackerman United States 13 891 793 253 239 205 19 1.6k
Sharon M. Louie United States 18 1.1k 1.2× 397 0.5× 377 1.5× 41 0.2× 122 0.6× 23 2.0k
Aaron M. Hosios United States 16 2.2k 2.5× 1.5k 1.9× 311 1.2× 29 0.1× 169 0.8× 26 2.9k
Charles Betz Switzerland 10 1.5k 1.6× 281 0.4× 76 0.3× 62 0.3× 64 0.3× 11 1.9k
Laura Hulea Canada 14 1.6k 1.8× 403 0.5× 64 0.3× 34 0.1× 79 0.4× 21 2.0k
Tenzin Kunchok United States 11 929 1.0× 412 0.5× 126 0.5× 20 0.1× 78 0.4× 14 1.4k
Alison E. Ringel United States 17 1.2k 1.4× 473 0.6× 66 0.3× 24 0.1× 162 0.8× 27 1.8k
Maria Antonietta Calvaruso Italy 10 978 1.1× 380 0.5× 63 0.2× 40 0.2× 44 0.2× 13 1.2k
S. Wallis United Kingdom 21 913 1.0× 364 0.5× 83 0.3× 37 0.2× 62 0.3× 32 2.0k
Sushma Nagaraja Grellscheid United Kingdom 17 976 1.1× 193 0.2× 39 0.2× 127 0.5× 45 0.2× 28 1.6k
Mariola Kulawiec United States 19 1.3k 1.5× 541 0.7× 37 0.1× 28 0.1× 98 0.5× 26 1.7k

Countries citing papers authored by Daniel Ackerman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Ackerman

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

All Works

19 of 19 papers shown
1.
Preziosi, Morgan, Dali Yin, Ágnes Holczbauer, et al.. (2022). In Vivo Screen Identifies Liver X Receptor Alpha Agonism Potentiates Sorafenib Killing of Hepatocellular Carcinoma. SHILAP Revista de lepidopterología. 1(5). 905–908. 6 indexed citations
2.
Sussman, Robyn T., Daniel Ackerman, Priya Velu, et al.. (2021). Interpretative differences of combined cytogenetic and molecular profiling highlights differences between MRC and ELN classifications of AML. Cancer Genetics. 256-257. 68–76. 2 indexed citations
3.
Johnson, Omar, et al.. (2020). Functional Genetic Screening Enables Theranostic Molecular Imaging in Cancer. Clinical Cancer Research. 26(17). 4581–4589. 4 indexed citations
4.
Tischfield, David J., Daniel Ackerman, Michael Noji, et al.. (2019). Establishment of hepatocellular carcinoma patient-derived xenografts from image-guided percutaneous biopsies. Scientific Reports. 9(1). 10546–10546. 7 indexed citations
5.
Kiefer, Ryan M., Michael Noji, M. Pourfathi, et al.. (2019). Hyperpolarized Metabolic Imaging Detects Latent Hepatocellular Carcinoma Domains Surviving Locoregional Therapy. Hepatology. 72(1). 140–154. 16 indexed citations
6.
Ochocki, Joshua D., Sanika Khare, Markus Heß, et al.. (2018). Arginase 2 Suppresses Renal Carcinoma Progression via Biosynthetic Cofactor Pyridoxal Phosphate Depletion and Increased Polyamine Toxicity. Cell Metabolism. 27(6). 1263–1280.e6. 86 indexed citations
7.
Wildenberg, Joseph C., Kamiel S. Saleh, Daniel Ackerman, et al.. (2018). Electrolytic ablation enables cancer cell targeting through pH modulation. Communications Biology. 1(1). 48–48. 22 indexed citations
8.
Pantel, Austin R., Daniel Ackerman, Seung‐Cheol Lee, David A. Mankoff, & T. Gade. (2018). Imaging Cancer Metabolism: Underlying Biology and Emerging Strategies. Journal of Nuclear Medicine. 59(9). 1340–1349. 53 indexed citations
9.
Ackerman, Daniel, Sergey Tumanov, Bo Qiu, et al.. (2018). Triglycerides Promote Lipid Homeostasis during Hypoxic Stress by Balancing Fatty Acid Saturation. Cell Reports. 24(10). 2596–2605.e5. 225 indexed citations
10.
Qiu, Bo, Daniel Ackerman, Danielle J. Sanchez, et al.. (2016). Abstract PR04: HIF-2α dependent lipid storage promotes endoplasmic reticulum homeostasis in clear cell renal cell carcinoma. Molecular Cancer Research. 14(1_Supplement). PR04–PR04. 1 indexed citations
11.
Qiu, Bo, Daniel Ackerman, Danielle J. Sanchez, et al.. (2015). HIF2α-Dependent Lipid Storage Promotes Endoplasmic Reticulum Homeostasis in Clear-Cell Renal Cell Carcinoma. Cancer Discovery. 5(6). 652–667. 298 indexed citations
12.
Ackerman, Daniel & M. Celeste Simon. (2014). Hypoxia, lipids, and cancer: surviving the harsh tumor microenvironment. Trends in Cell Biology. 24(8). 472–478. 375 indexed citations
13.
Young, Regina M., Daniel Ackerman, Zachary L. Quinn, et al.. (2013). Dysregulated mTORC1 renders cells critically dependent on desaturated lipids for survival under tumor-like stress. Genes & Development. 27(10). 1115–1131. 175 indexed citations
14.
Ackerman, Daniel & David Gems. (2012). The mystery of C. elegans aging: An emerging role for fat. BioEssays. 34(6). 466–471. 52 indexed citations
15.
Ackerman, Daniel & David Gems. (2012). Insulin/IGF-1 and Hypoxia Signaling Act in Concert to Regulate Iron Homeostasis in Caenorhabditis elegans. PLoS Genetics. 8(3). e1002498–e1002498. 49 indexed citations
16.
Valentini, Sara, Filipe Cabreiro, Daniel Ackerman, et al.. (2012). Manipulation of in vivo iron levels can alter resistance to oxidative stress without affecting ageing in the nematode C. elegans. Mechanisms of Ageing and Development. 133(5). 282–290. 43 indexed citations
17.
Ackerman, Daniel & David Gems. (2012). Prospects & Overviews The mystery of C. elegans aging: An emerging role for fat Distant parallels between C. elegans aging and metabolic syndrome?. 1 indexed citations
18.
Cabreiro, Filipe, Daniel Ackerman, Ryan Doonan, et al.. (2011). Increased life span from overexpression of superoxide dismutase in Caenorhabditis elegans is not caused by decreased oxidative damage. Free Radical Biology and Medicine. 51(8). 1575–1582. 108 indexed citations
19.
Patel, Dhaval S, Acely Garza-Garcı́a, Manoj Nanji, et al.. (2008). Clustering of Genetically Defined Allele Classes in the Caenorhabditis elegans DAF-2 Insulin/IGF-1 Receptor. Genetics. 178(2). 931–946. 66 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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