Dimiter Avtanski

1.4k total citations
51 papers, 1.1k citations indexed

About

Dimiter Avtanski is a scholar working on Molecular Biology, Physiology and Molecular Medicine. According to data from OpenAlex, Dimiter Avtanski has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Physiology and 10 papers in Molecular Medicine. Recurrent topics in Dimiter Avtanski's work include Adipose Tissue and Metabolism (11 papers), Curcumin's Biomedical Applications (10 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). Dimiter Avtanski is often cited by papers focused on Adipose Tissue and Metabolism (11 papers), Curcumin's Biomedical Applications (10 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). Dimiter Avtanski collaborates with scholars based in United States, North Macedonia and Russia. Dimiter Avtanski's co-authors include Leonid Poretsky, Dipali Sharma, Neeraj K. Saxena, Dan Yan, Arumugam Nagalingam, Jack L. Arbiser, Michael Y. Bonner, Donna Seto‐Young, Kevin J. Tracey and Valentin A. Pavlov and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Dimiter Avtanski

48 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dimiter Avtanski United States 17 453 205 192 167 162 51 1.1k
Ding Yuan China 22 665 1.5× 110 0.5× 118 0.6× 180 1.1× 191 1.2× 83 1.3k
Xiaolei Wang China 18 525 1.2× 100 0.5× 201 1.0× 85 0.5× 234 1.4× 44 1.2k
Francesco Potì Italy 21 577 1.3× 92 0.4× 131 0.7× 118 0.7× 79 0.5× 52 1.2k
Jie Hao China 22 544 1.2× 122 0.6× 118 0.6× 143 0.9× 134 0.8× 58 1.2k
Afshan Siddiq Pakistan 17 475 1.0× 111 0.5× 204 1.1× 142 0.9× 227 1.4× 47 1.1k
Ghodratollah Panahi Iran 17 492 1.1× 92 0.4× 223 1.2× 275 1.6× 273 1.7× 56 1.1k
Sherine M. Rizk Egypt 20 399 0.9× 99 0.5× 81 0.4× 240 1.4× 69 0.4× 42 1.0k
Hongguang Sheng China 16 314 0.7× 122 0.6× 139 0.7× 61 0.4× 92 0.6× 28 1.0k
Óscar Escribano Spain 19 454 1.0× 53 0.3× 281 1.5× 168 1.0× 265 1.6× 43 1.1k
Almudena Gómez‐Hernández Spain 21 531 1.2× 88 0.4× 342 1.8× 264 1.6× 323 2.0× 45 1.5k

Countries citing papers authored by Dimiter Avtanski

Since Specialization
Citations

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

Fields of papers citing papers by Dimiter Avtanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimiter Avtanski

This figure shows the co-authorship network connecting the top 25 collaborators of Dimiter Avtanski. A scholar is included among the top collaborators of Dimiter Avtanski 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 Dimiter Avtanski. Dimiter Avtanski 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.
Mishra, Awdhesh Kumar, et al.. (2025). Lipid Metabolism–Signaling Crosstalk in Metabolic Disease and Aging: Mechanisms and Therapeutic Targets. Nutrients. 17(23). 3699–3699. 1 indexed citations
2.
Hadzi‐Petrushev, Nikola, Hristo Gagov, Rossitza Konakchieva, et al.. (2025). Curcumin and Tetrahydrocurcumin as Multi-Organ Modulators of the Adipose Tissue–Gut–Liver Axis: Mechanistic Insights, Therapeutic Potential, and Translational Challenges. Pharmaceuticals. 18(12). 1791–1791.
3.
Hadzi‐Petrushev, Nikola, Mitko Mladenov, Jitendra Kumar Sinha, et al.. (2025). Translational Advances in Oncogene and Tumor-Suppressor Gene Research. Cancers. 17(6). 1008–1008. 5 indexed citations
4.
Jin, Wang, Kai Jing, Vadim Mitrokhin, et al.. (2025). Crosstalk between MST1-Hippo and Wnt/β-Catenin, Notch, and PI3K/Akt pathways in cardiac physiology and pathology. Journal of Physiology and Biochemistry. 81(3). 557–571. 1 indexed citations
5.
Bhaskar, Rakesh, Shampa Ghosh, Krishna Kumar Singh, et al.. (2025). Exploring the Genetic Orchestra of Cancer: The Interplay Between Oncogenes and Tumor-Suppressor Genes. Cancers. 17(7). 1082–1082. 3 indexed citations
7.
Hadzi‐Petrushev, Nikola, et al.. (2024). GLUT5-overexpression-related tumorigenic implications. Molecular Medicine. 30(1). 114–114. 6 indexed citations
9.
Hadzi‐Petrushev, Nikola, et al.. (2023). Positive Tetrahydrocurcumin-Associated Brain-Related Metabolomic Implications. Molecules. 28(9). 3734–3734. 7 indexed citations
10.
Hadzi‐Petrushev, Nikola, et al.. (2023). THU557 Effects Of Two Experimental Monocarbonyl Analogs Of Curcumin (MACs) On Breast Cancer Growth, Migration, And Epithelial-To-Mesenchymal Transition (EMT). Journal of the Endocrine Society. 7(Supplement_1). 1 indexed citations
11.
Mladenov, Mitko, Lubomir T. Lubomirov, Olaf Grisk, et al.. (2023). Oxidative Stress, Reductive Stress and Antioxidants in Vascular Pathogenesis and Aging. Antioxidants. 12(5). 1126–1126. 39 indexed citations
12.
Avtanski, Dimiter, et al.. (2023). The Microbiome in the Obesity-Breast Cancer Axis: Diagnostic and Therapeutic Potential. Pathogens. 12(12). 1402–1402. 7 indexed citations
13.
Poretsky, Leonid, et al.. (2022). In vitro treatment of human granulosa cells with irisin and leptin: Quantitative RT-PCR array data (female infertility panel). Data in Brief. 40. 107781–107781. 1 indexed citations
14.
Mladenov, Mitko, et al.. (2022). Efficacy of the monocarbonyl curcumin analog C66 in the reduction of diabetes-associated cardiovascular and kidney complications. Molecular Medicine. 28(1). 129–129. 16 indexed citations
15.
Nagalingam, Arumugam, Sumit Siddharth, Sheetal Parida, et al.. (2021). Hyperleptinemia in obese state renders luminal breast cancers refractory to tamoxifen by coordinating a crosstalk between Med1, miR205 and ErbB. npj Breast Cancer. 7(1). 105–105. 18 indexed citations
16.
Basman, Craig, Sarah L. Fishman, Dimiter Avtanski, et al.. (2020). Glycosylated hemoglobin, but not advanced glycation end products, predicts severity of coronary artery disease in patients with or without diabetes. SHILAP Revista de lepidopterología. 7. 100050–100050. 5 indexed citations
17.
Avtanski, Dimiter, et al.. (2019). In vitro effects of resistin on epithelial to mesenchymal transition (EMT) in MCF-7 and MDA-MB-231 breast cancer cells – qRT-PCR and Westen blot analyses data. SHILAP Revista de lepidopterología. 25. 104118–104118. 9 indexed citations
19.
Avtanski, Dimiter, Arumugam Nagalingam, Joseph E. Tomaszewski, et al.. (2016). Indolo‐pyrido‐isoquinolin based alkaloid inhibits growth, invasion and migration of breast cancer cells via activation of p53‐miR34a axis. Molecular Oncology. 10(7). 1118–1132. 20 indexed citations
20.
Yan, Dan, Dimiter Avtanski, Neeraj K. Saxena, & Dipali Sharma. (2012). Leptin-induced Epithelial-Mesenchymal Transition in Breast Cancer Cells Requires β-Catenin Activation via Akt/GSK3- and MTA1/Wnt1 Protein-dependent Pathways. Journal of Biological Chemistry. 287(11). 8598–8612. 159 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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