Tanya Tarnovscki

1.0k total citations
17 papers, 832 citations indexed

About

Tanya Tarnovscki is a scholar working on Epidemiology, Physiology and Molecular Biology. According to data from OpenAlex, Tanya Tarnovscki has authored 17 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 8 papers in Physiology and 5 papers in Molecular Biology. Recurrent topics in Tanya Tarnovscki's work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (8 papers) and Autophagy in Disease and Therapy (7 papers). Tanya Tarnovscki is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (8 papers) and Autophagy in Disease and Therapy (7 papers). Tanya Tarnovscki collaborates with scholars based in Israel, Germany and Switzerland. Tanya Tarnovscki's co-authors include Assaf Rudich, Nava Bashan, Ilana Harman‐Boehm, Matthias Blüher, Julia Kovsan, Iris Shai, Nora Klöting, Boris Kirshtein, Yulia Haim and Andrew S. Greenberg and has published in prestigious journals such as PLoS ONE, Endocrine Reviews and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Tanya Tarnovscki

16 papers receiving 827 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanya Tarnovscki Israel 12 533 419 265 103 75 17 832
Montserrat Cairó Spain 14 320 0.6× 496 1.2× 215 0.8× 110 1.1× 64 0.9× 18 764
Maria Kaaman Sweden 11 364 0.7× 544 1.3× 412 1.6× 107 1.0× 61 0.8× 11 917
Ivet Elias Spain 12 352 0.7× 492 1.2× 312 1.2× 162 1.6× 44 0.6× 16 854
Kyung Cheul Shin South Korea 10 336 0.6× 297 0.7× 268 1.0× 82 0.8× 113 1.5× 15 734
Tenagne D. Challa Switzerland 15 276 0.5× 278 0.7× 293 1.1× 69 0.7× 47 0.6× 18 743
Meritxell Rosell Spain 8 410 0.8× 705 1.7× 392 1.5× 156 1.5× 32 0.4× 9 1.0k
S Kralisch Germany 18 234 0.4× 259 0.6× 296 1.1× 172 1.7× 61 0.8× 28 767
Laura Zemany United States 7 289 0.5× 398 0.9× 461 1.7× 94 0.9× 54 0.7× 8 982
Mackenzie Pearson United States 12 313 0.6× 316 0.8× 381 1.4× 91 0.9× 39 0.5× 14 809
Joseph G. Yu United States 7 645 1.2× 707 1.7× 491 1.9× 154 1.5× 72 1.0× 8 1.3k

Countries citing papers authored by Tanya Tarnovscki

Since Specialization
Citations

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

Fields of papers citing papers by Tanya Tarnovscki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanya Tarnovscki

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

All Works

17 of 17 papers shown
1.
Haim, Yulia, Tanya Tarnovscki, Idit F. Liberty, et al.. (2023). Circulating miRNAs Detect High vs Low Visceral Adipose Tissue Inflammation in Patients Living With Obesity. The Journal of Clinical Endocrinology & Metabolism. 109(3). 858–867. 3 indexed citations
2.
Haim, Yulia, et al.. (2019). Autophagy differentially regulates macrophage lipid handling depending on the lipid substrate (oleic acid vs. acetylated-LDL) and inflammatory activation state. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1864(12). 158527–158527. 8 indexed citations
3.
Nachmias, Dikla, Natalie Elia, Yulia Haim, et al.. (2017). Adipose tissue conditioned media support macrophage lipid-droplet biogenesis by interfering with autophagic flux. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1862(9). 1001–1012. 19 indexed citations
4.
Haim, Yulia, Matthias Blüher, Daniel Konrad, et al.. (2017). ASK1 (MAP3K5) is transcriptionally upregulated by E2F1 in adipose tissue in obesity, molecularly defining a human dys-metabolic obese phenotype. Molecular Metabolism. 6(7). 725–736. 28 indexed citations
5.
Haim, Yulia, Tal Pecht, Tanya Tarnovscki, et al.. (2017). Adipose tissue supports normalization of macrophage and liver lipid handling in obesity reversal. Journal of Endocrinology. 233(3). 293–305. 17 indexed citations
6.
Haim, Yulia, Matthias Blüher, Nir Goldstein, et al.. (2015). Elevated autophagy gene expression in adipose tissue of obese humans: A potential non-cell-cycle-dependent function of E2F1. Autophagy. 11(11). 2074–2088. 85 indexed citations
7.
Yehuda‐Shnaidman, Einav, et al.. (2013). Secreted Human Adipose Leptin Decreases Mitochondrial Respiration in HCT116 Colon Cancer Cells. PLoS ONE. 8(9). e74843–e74843. 22 indexed citations
8.
Wolak, Talya, Victor Novack, Gabriel Szendro, et al.. (2013). N-Terminal Rather Than Full-Length Osteopontin or Its C-Terminal Fragment Is Associated With Carotid-Plaque Inflammation in Hypertensive Patients. American Journal of Hypertension. 26(3). 326–333. 30 indexed citations
9.
Haim, Yulia, et al.. (2013). A chromatin immunoprecipitation (ChIP) protocol for use in whole human adipose tissue. American Journal of Physiology-Endocrinology and Metabolism. 305(9). E1172–E1177. 18 indexed citations
10.
Nov, Ori, Hagit Shapiro, Tanya Tarnovscki, et al.. (2013). Interleukin-1β Regulates Fat-Liver Crosstalk in Obesity by Auto-Paracrine Modulation of Adipose Tissue Inflammation and Expandability. PLoS ONE. 8(1). e53626–e53626. 129 indexed citations
11.
Kovsan, Julia, Matthias Blüher, Tanya Tarnovscki, et al.. (2010). Altered Autophagy in Human Adipose Tissues in Obesity. Endocrine Reviews. 31(6). 947–947.
12.
Kovsan, Julia, Matthias Blüher, Tanya Tarnovscki, et al.. (2010). Altered Autophagy in Human Adipose Tissues in Obesity. Endocrine Reviews. 31(6). 945–946. 2 indexed citations
13.
Kovsan, Julia, Matthias Blüher, Tanya Tarnovscki, et al.. (2010). Altered Autophagy in Human Adipose Tissues in Obesity. Molecular Endocrinology. 24(12). 2406–2406. 3 indexed citations
14.
Kovsan, Julia, Matthias Blüher, Tanya Tarnovscki, et al.. (2010). Altered Autophagy in Human Adipose Tissues in Obesity. The Journal of Clinical Endocrinology & Metabolism. 96(2). E268–E277. 254 indexed citations
15.
Blüher, Matthias, Nava Bashan, Iris Shai, et al.. (2009). Activated Ask1-MKK4-p38MAPK/JNK Stress Signaling Pathway in Human Omental Fat Tissue May Link Macrophage Infiltration to Whole-Body Insulin Sensitivity. The Journal of Clinical Endocrinology & Metabolism. 94(7). 2507–2515. 86 indexed citations
16.
Kovsan, Julia, Tanya Tarnovscki, Shira Ovadia, et al.. (2008). Depot-specific adipocyte cell lines reveal differential drug-induced responses of white adipocytes—relevance for partial lipodystrophy. American Journal of Physiology-Endocrinology and Metabolism. 296(2). E315–E322. 35 indexed citations
17.
Bashan, Nava, Tanya Tarnovscki, Ilana Harman‐Boehm, et al.. (2007). Mitogen-Activated Protein Kinases, Inhibitory-κB Kinase, and Insulin Signaling in Human Omental Versus Subcutaneous Adipose Tissue in Obesity. Endocrinology. 148(6). 2955–2962. 93 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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