Nika N. Danial

13.7k total citations · 4 hit papers
56 papers, 10.4k citations indexed

About

Nika N. Danial is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Nika N. Danial has authored 56 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 11 papers in Surgery and 11 papers in Oncology. Recurrent topics in Nika N. Danial's work include Mitochondrial Function and Pathology (14 papers), Cell death mechanisms and regulation (11 papers) and Pancreatic function and diabetes (10 papers). Nika N. Danial is often cited by papers focused on Mitochondrial Function and Pathology (14 papers), Cell death mechanisms and regulation (11 papers) and Pancreatic function and diabetes (10 papers). Nika N. Danial collaborates with scholars based in United States, Italy and Canada. Nika N. Danial's co-authors include Stanley J. Korsmeyer, Paul B. Rothman, Luca Scorrano, Olga Martins de Brito, Christian Frezza, Davide Bartoli, Massimo Micaroni, Galina V. Beznoussenko, Bart De Strooper and Sara Cipolat and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Nika N. Danial

55 papers receiving 10.3k citations

Hit Papers

Cell Death 2003 2026 2010 2018 2004 2006 2005 2003 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nika N. Danial United States 35 7.2k 1.5k 1.5k 1.3k 1.2k 56 10.4k
Jerry E. Chipuk United States 45 9.1k 1.3× 1.8k 1.2× 2.6k 1.7× 1.6k 1.3× 1.5k 1.2× 89 12.4k
Tomomi Kuwana United States 28 7.9k 1.1× 1.2k 0.8× 1.6k 1.1× 1.2k 0.9× 869 0.7× 46 10.0k
Anne N. Murphy United States 60 8.3k 1.1× 1.1k 0.7× 1.0k 0.7× 1.8k 1.3× 1.9k 1.6× 130 13.2k
Vladimir Gogvadze Sweden 47 6.1k 0.9× 818 0.5× 768 0.5× 1.0k 0.8× 1.3k 1.0× 121 10.1k
Wei‐Xing Zong United States 43 8.4k 1.2× 2.0k 1.3× 2.1k 1.3× 2.1k 1.6× 2.2k 1.8× 79 12.0k
Nathanaël Larochette France 36 8.7k 1.2× 3.0k 2.0× 2.3k 1.5× 2.8k 2.1× 1.1k 0.9× 48 13.9k
Ella Bossy‐Wetzel United States 47 11.9k 1.6× 1.4k 0.9× 1.5k 1.0× 1.8k 1.4× 1.2k 1.0× 69 16.1k
Atsushi Enomoto Japan 54 4.1k 0.6× 942 0.6× 2.6k 1.7× 691 0.5× 827 0.7× 195 9.9k
Yun Soo Bae South Korea 44 6.2k 0.9× 3.2k 2.1× 874 0.6× 703 0.5× 935 0.8× 120 11.6k

Countries citing papers authored by Nika N. Danial

Since Specialization
Citations

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

Fields of papers citing papers by Nika N. Danial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nika N. Danial. 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 Nika N. Danial. The network helps show where Nika N. Danial may publish in the future.

Co-authorship network of co-authors of Nika N. Danial

This figure shows the co-authorship network connecting the top 25 collaborators of Nika N. Danial. A scholar is included among the top collaborators of Nika N. Danial 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 Nika N. Danial. Nika N. Danial 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.
Kirschenman, Raven, Namrata Patel, Joy Wang, et al.. (2025). Multiple anti-tumor programs are activated by blocking BAD phosphorylation. Oncogene. 44(29). 2530–2546.
2.
Prew, Michelle S., Utsarga Adhikary, Dong Wook Choi, et al.. (2022). MCL-1 is a master regulator of cancer dependency on fatty acid oxidation. Cell Reports. 41(1). 111445–111445. 15 indexed citations
3.
Kirschenman, Raven, Namrata Patel, Vrajesh Pandya, et al.. (2021). BAD regulates mammary gland morphogenesis by 4E-BP1-mediated control of localized translation in mouse and human models. Nature Communications. 12(1). 2939–2939. 7 indexed citations
4.
Fu, Accalia, Daina Avizonis, Tatsuya Kin, et al.. (2021). Glucose metabolism and pyruvate carboxylase enhance glutathione synthesis and restrict oxidative stress in pancreatic islets. Cell Reports. 37(8). 110037–110037. 34 indexed citations
5.
Mills, Evanna L., Cathal Harmon, Mark P. Jedrychowski, et al.. (2021). UCP1 governs liver extracellular succinate and inflammatory pathogenesis. Nature Metabolism. 3(5). 604–617. 114 indexed citations
6.
Wang, Chih‐Hao, Morten Lundh, Accalia Fu, et al.. (2020). CRISPR-engineered human brown-like adipocytes prevent diet-induced obesity and ameliorate metabolic syndrome in mice. Science Translational Medicine. 12(558). 103 indexed citations
7.
Mejhert, Niklas, Leena Kuruvilla, Katlyn R. Gabriel, et al.. (2020). Partitioning of MLX-Family Transcription Factors to Lipid Droplets Regulates Metabolic Gene Expression. Molecular Cell. 77(6). 1251–1264.e9. 84 indexed citations
8.
Bird, Gregory H., Accalia Fu, Silvia Escudero, et al.. (2020). Hydrocarbon-Stitched Peptide Agonists of Glucagon-Like Peptide-1 Receptor. ACS Chemical Biology. 15(6). 1340–1348. 16 indexed citations
9.
Brown, Flavian D., Debattama R. Sen, Martin W. LaFleur, et al.. (2019). Fibroblastic reticular cells enhance T cell metabolism and survival via epigenetic remodeling. Nature Immunology. 20(12). 1668–1680. 55 indexed citations
10.
Martínez‐François, Juan Ramón, et al.. (2018). BAD and KATP channels regulate neuron excitability and epileptiform activity. eLife. 7. 30 indexed citations
11.
Norberg, Erik, Ana Lako, Pei-Hsuan Chen, et al.. (2016). Differential contribution of the mitochondrial translation pathway to the survival of diffuse large B-cell lymphoma subsets. Cell Death and Differentiation. 24(2). 251–262. 61 indexed citations
12.
Schoumacher, Marie, Kristen E. Hurov, Joseph Lehár, et al.. (2014). Inhibiting Tankyrases Sensitizes KRAS-Mutant Cancer Cells to MEK Inhibitors via FGFR2 Feedback Signaling. Cancer Research. 74(12). 3294–3305. 28 indexed citations
13.
Braun, Craig R., Sanda Ljubicic, Gregory H. Bird, et al.. (2013). A phospho-BAD BH3 helix activates glucokinase by a mechanism distinct from that of allosteric activators. Nature Structural & Molecular Biology. 21(1). 36–42. 43 indexed citations
14.
Caro, Pilar, Amar U. Kishan, Erik Norberg, et al.. (2012). Metabolic Signatures Uncover Distinct Targets in Molecular Subsets of Diffuse Large B Cell Lymphoma. Cancer Cell. 22(4). 547–560. 379 indexed citations
15.
Giménez-Cassina, Alfredo, Juan Ramón Martínez‐François, Jill K. Fisher, et al.. (2012). BAD-Dependent Regulation of Fuel Metabolism and KATP Channel Activity Confers Resistance to Epileptic Seizures. Neuron. 74(4). 719–730. 128 indexed citations
16.
Tinoco, Arthur D., Yun‐Gon Kim, Debarati M. Tagore, et al.. (2011). A Peptidomics Strategy To Elucidate the Proteolytic Pathways That Inactivate Peptide Hormones. Biochemistry. 50(12). 2213–2222. 13 indexed citations
17.
Simarro, Marı́a, Alfredo Giménez-Cassina, Nancy Kedersha, et al.. (2010). Fast kinase domain-containing protein 3 is a mitochondrial protein essential for cellular respiration. Biochemical and Biophysical Research Communications. 401(3). 440–446. 55 indexed citations
18.
Danial, Nika N. & Stanley J. Korsmeyer. (2004). Cell Death. Cell. 116(2). 205–219. 3822 indexed citations breakdown →
19.
Ranger, Ann, Jiping Zha, Hisashi Harada, et al.. (2003). Bad -deficient mice develop diffuse large B cell lymphoma. Proceedings of the National Academy of Sciences. 100(16). 9324–9329. 224 indexed citations
20.
Danial, Nika N., Julie A. Losman, Natalie Yip, et al.. (1998). Direct Interaction of Jak1 and v-Abl Is Required for v-Abl-Induced Activation of STATs and Proliferation. Molecular and Cellular Biology. 18(11). 6795–6804. 58 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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