Gene E. Ananiev

1.6k total citations
20 papers, 766 citations indexed

About

Gene E. Ananiev is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Gene E. Ananiev has authored 20 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Pharmacology. Recurrent topics in Gene E. Ananiev's work include Microbial Natural Products and Biosynthesis (4 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Machine Learning in Materials Science (3 papers). Gene E. Ananiev is often cited by papers focused on Microbial Natural Products and Biosynthesis (4 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Machine Learning in Materials Science (3 papers). Gene E. Ananiev collaborates with scholars based in United States, Russia and Singapore. Gene E. Ananiev's co-authors include Hongda Li, Qiang Chang, David C. Schwartz, Jill Herschleb, F. Michael Hoffmann, Scott A. Wildman, Ahmed F. Mohamed, Rachel E. Cherney, Eric Nguyen and Ronghui Li and has published in prestigious journals such as Blood, PLoS ONE and Biochemistry.

In The Last Decade

Gene E. Ananiev

20 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gene E. Ananiev United States 11 523 204 146 116 75 20 766
Francesca Macchi Italy 18 252 0.5× 91 0.4× 66 0.5× 75 0.6× 192 2.6× 29 782
Simone Haupt Germany 16 807 1.5× 148 0.7× 238 1.6× 21 0.2× 144 1.9× 25 1.1k
Junichi Eguchi Japan 18 389 0.7× 88 0.4× 47 0.3× 33 0.3× 212 2.8× 53 1.3k
Dharmeshkumar Patel United States 10 317 0.6× 23 0.1× 84 0.6× 41 0.4× 31 0.4× 29 549
Bjørn Holst Denmark 20 991 1.9× 186 0.9× 160 1.1× 11 0.1× 195 2.6× 67 1.4k
Hassan Pezeshgi Modarres Canada 13 242 0.5× 52 0.3× 213 1.5× 18 0.2× 44 0.6× 15 568
Junho Kim South Korea 14 576 1.1× 408 2.0× 37 0.3× 12 0.1× 79 1.1× 30 1.0k
Zhuyun Li China 13 1.4k 2.7× 265 1.3× 140 1.0× 24 0.2× 51 0.7× 22 1.7k
Maxim M. Bespalov Finland 15 474 0.9× 73 0.4× 22 0.2× 37 0.3× 391 5.2× 21 1.0k
Lili Hu China 15 336 0.6× 95 0.5× 78 0.5× 19 0.2× 49 0.7× 41 770

Countries citing papers authored by Gene E. Ananiev

Since Specialization
Citations

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

Fields of papers citing papers by Gene E. Ananiev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gene E. Ananiev. 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 Gene E. Ananiev. The network helps show where Gene E. Ananiev may publish in the future.

Co-authorship network of co-authors of Gene E. Ananiev

This figure shows the co-authorship network connecting the top 25 collaborators of Gene E. Ananiev. A scholar is included among the top collaborators of Gene E. Ananiev 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 Gene E. Ananiev. Gene E. Ananiev 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.
Zhang, Fan, Christopher D. Roberts, Tae Hyun Lee, et al.. (2025). Actinomycetoquinones A–E, Anthraquinone-γ-Pyrones Discovered from Marine-Derived Actinomycetospora sp. Bacterium. Journal of Natural Products. 88(10). 2325–2332. 1 indexed citations
2.
Zhang, Fan, Wenhui Wang, Gene E. Ananiev, et al.. (2025). Isolation, Structure Elucidation and Biological Evaluation of Lomaiviticins F–H, Dimeric Benzofluorene Glycosides from Marine-Derived Micromonospora sp. Bacterium. Marine Drugs. 23(2). 65–65. 1 indexed citations
3.
4.
Montgomery, Kathleen, Gene E. Ananiev, Alexander Fedorov, et al.. (2024). Exploring Inflammation and Stress as Biological Correlates of Symptoms in Children With Advanced Cancer: A Longitudinal Feasibility Study. PubMed. 41(3). 157–171. 1 indexed citations
5.
Liu, Shengchao, Spencer S. Ericksen, Gene E. Ananiev, et al.. (2023). Evaluating Scalable Supervised Learning for Synthesize-on-Demand Chemical Libraries. Journal of Chemical Information and Modeling. 63(17). 5513–5528. 7 indexed citations
6.
Parashar, Deepak, Liang Zhang, Terrie Kitchner, et al.. (2023). Inhibiting FOXM1 Sensitizes Myeloma Cells to BCL2 Inhibitor Venetoclax By Repressing MYC Pathway. Blood. 142(Supplement 1). 1950–1950. 1 indexed citations
7.
Yan, Jia‐Xuan, Qihao Wu, Eric J. N. Helfrich, et al.. (2022). Bacillimidazoles A−F, Imidazolium-Containing Compounds Isolated from a Marine Bacillus. Marine Drugs. 20(1). 43–43. 8 indexed citations
8.
Liu, Wallace H., et al.. (2022). Discovery and Mechanism of Small Molecule Inhibitors Selective for the Chromatin-Binding Domains of Oncogenic UHRF1. Biochemistry. 61(5). 354–366. 12 indexed citations
9.
Hunt, Jack F.V., Meng Li, Ryan D. Risgaard, et al.. (2021). High Throughput Small Molecule Screen for Reactivation of FMR1 in Fragile X Syndrome Human Neural Cells. Cells. 11(1). 69–69. 4 indexed citations
10.
Zhang, Huikun, Spencer S. Ericksen, Ching-pei Lee, et al.. (2019). Predicting kinase inhibitors using bioactivity matrix derived informer sets. PLoS Computational Biology. 15(8). e1006813–e1006813. 7 indexed citations
11.
Zhang, Fan, Doug R. Braun, Gene E. Ananiev, et al.. (2018). Biemamides A–E, Inhibitors of the TGF-β Pathway That Block the Epithelial to Mesenchymal Transition. Organic Letters. 20(18). 5529–5532. 13 indexed citations
12.
Liu, Shengchao, Spencer S. Ericksen, Andrew F. Voter, et al.. (2018). Practical Model Selection for Prospective Virtual Screening. Journal of Chemical Information and Modeling. 59(1). 282–293. 48 indexed citations
13.
Nguyen, Eric, William T. Daly, Mitra Farnoodian, et al.. (2017). Versatile synthetic alternatives to Matrigel for vascular toxicity screening and stem cell expansion. Nature Biomedical Engineering. 1(7). 115 indexed citations
14.
Voter, Andrew F., et al.. (2017). A High-Throughput Screening Strategy to Identify Inhibitors of SSB Protein–Protein Interactions in an Academic Screening Facility. SLAS DISCOVERY. 23(1). 94–101. 22 indexed citations
15.
Li, Meng, Huashan Zhao, Gene E. Ananiev, et al.. (2016). Establishment of Reporter Lines for Detecting Fragile X Mental Retardation (FMR1) Gene Reactivation in Human Neural Cells. Stem Cells. 35(1). 158–169. 46 indexed citations
16.
Goel, Shakti A., Lian‐Wang Guo, Bowen Wang, et al.. (2014). High-Throughput Screening Identifies Idarubicin as a Preferential Inhibitor of Smooth Muscle versus Endothelial Cell Proliferation. PLoS ONE. 9(2). e89349–e89349. 13 indexed citations
17.
Zhong, Xiaofen, Ahmed F. Mohamed, Ronghui Li, et al.. (2014). Mutant astrocytes differentiated from Rett syndrome patients-specific iPSCs have adverse effects on wild-type neurons. Human Molecular Genetics. 23(11). 2968–2980. 157 indexed citations
18.
Ananiev, Gene E., et al.. (2011). Isogenic Pairs of Wild Type and Mutant Induced Pluripotent Stem Cell (iPSC) Lines from Rett Syndrome Patients as In Vitro Disease Model. PLoS ONE. 6(9). e25255–e25255. 162 indexed citations
19.
Ananiev, Gene E., Steve Goldstein, Rod Runnheim, et al.. (2008). Optical mapping discerns genome wide DNA methylation profiles. BMC Molecular Biology. 9(1). 68–68. 31 indexed citations
20.
Herschleb, Jill, Gene E. Ananiev, & David C. Schwartz. (2007). Pulsed-field gel electrophoresis. Nature Protocols. 2(3). 677–684. 108 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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