Yulia Haim

1.2k total citations
32 papers, 898 citations indexed

About

Yulia Haim is a scholar working on Epidemiology, Physiology and Molecular Biology. According to data from OpenAlex, Yulia Haim has authored 32 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 21 papers in Physiology and 10 papers in Molecular Biology. Recurrent topics in Yulia Haim's work include Adipose Tissue and Metabolism (21 papers), Adipokines, Inflammation, and Metabolic Diseases (17 papers) and Autophagy in Disease and Therapy (8 papers). Yulia Haim is often cited by papers focused on Adipose Tissue and Metabolism (21 papers), Adipokines, Inflammation, and Metabolic Diseases (17 papers) and Autophagy in Disease and Therapy (8 papers). Yulia Haim collaborates with scholars based in Israel, Germany and United States. Yulia Haim's co-authors include Assaf Rudich, Nava Bashan, Matthias Blüher, Tanya Tarnovscki, Nir Goldstein, Martin Gericke, Julia Kovsan, Nora Klöting, Boris Kirshtein and Ori Nov and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Yulia Haim

32 papers receiving 886 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yulia Haim Israel 17 524 423 267 123 90 32 898
Esther Guiu‐Jurado Spain 19 588 1.1× 368 0.9× 308 1.2× 157 1.3× 67 0.7× 31 1.1k
Ursula White United States 16 495 0.9× 622 1.5× 377 1.4× 239 1.9× 94 1.0× 31 1.2k
Po‐Shiuan Hsieh Taiwan 19 318 0.6× 369 0.9× 298 1.1× 102 0.8× 88 1.0× 58 1.1k
Tomoya Sakamoto Japan 14 382 0.7× 564 1.3× 360 1.3× 168 1.4× 56 0.6× 22 943
Rocío Vila‐Bedmar Spain 19 424 0.8× 485 1.1× 537 2.0× 213 1.7× 62 0.7× 32 1.2k
Shi‐Young Park South Korea 11 254 0.5× 282 0.7× 312 1.2× 90 0.7× 102 1.1× 16 911
María Calderón‐Domínguez Spain 18 271 0.5× 443 1.0× 346 1.3× 148 1.2× 103 1.1× 30 976
Pauline Morigny Germany 7 249 0.5× 401 0.9× 276 1.0× 101 0.8× 35 0.4× 8 793
Stephan Francke United States 12 380 0.7× 492 1.2× 387 1.4× 118 1.0× 52 0.6× 20 1.3k
Caroline Fernandes‐Santos Brazil 16 320 0.6× 461 1.1× 296 1.1× 153 1.2× 31 0.3× 40 1.1k

Countries citing papers authored by Yulia Haim

Since Specialization
Citations

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

Fields of papers citing papers by Yulia Haim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulia Haim

This figure shows the co-authorship network connecting the top 25 collaborators of Yulia Haim. A scholar is included among the top collaborators of Yulia Haim 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 Yulia Haim. Yulia Haim 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.
Haim, Yulia, Nikhil S. Bhandarkar, Aryeh Shaleṿ, et al.. (2024). Circulating isomiRs May Be Superior Biomarkers Compared to Their Corresponding miRNAs: A Pilot Biomarker Study of Using isomiR-Ome to Detect Coronary Calcium-Based Cardiovascular Risk in Patients with NAFLD. International Journal of Molecular Sciences. 25(2). 890–890. 2 indexed citations
2.
Haim, Yulia, Vered Chalifa‐Caspi, Tobias Hagemann, et al.. (2024). sNucConv: A bulk RNA-seq deconvolution method trained on single-nucleus RNA-seq data to estimate cell-type composition of human adipose tissues. iScience. 27(7). 110368–110368. 1 indexed citations
3.
4.
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
5.
Haim, Yulia, et al.. (2022). Assessing Obesity-Related Adipose Tissue Disease (OrAD) to Improve Precision Medicine for Patients Living With Obesity. Frontiers in Endocrinology. 13. 860799–860799. 12 indexed citations
6.
Haim, Yulia, Matthias Blüher, Vered Chalifa‐Caspi, et al.. (2022). Visceral Adipose Tissue E2F1-miRNA206/210 Pathway Associates with Type 2 Diabetes in Humans with Extreme Obesity. Cells. 11(19). 3046–3046. 5 indexed citations
7.
Saidemberg, Daniel M., Natalya M. Kogan, Nir Goldstein, et al.. (2020). Distinct infrastructure of lipid networks in visceral and subcutaneous adipose tissues in overweight humans. American Journal of Clinical Nutrition. 112(4). 979–990. 11 indexed citations
8.
Lucchini, Fabrizio C., Stephan Wueest, Tenagne D. Challa, et al.. (2020). ASK1 inhibits browning of white adipose tissue in obesity. Nature Communications. 11(1). 1642–1642. 36 indexed citations
9.
Pecht, Tal, Yulia Haim, Vered Chalifa‐Caspi, et al.. (2020). A TRAIL-TL1A Paracrine Network Involving Adipocytes, Macrophages, and Lymphocytes Induces Adipose Tissue Dysfunction Downstream of E2F1 in Human Obesity. Diabetes. 69(11). 2310–2323. 19 indexed citations
10.
Pardo, Michal, Yael Kuperman, Liron Levin, et al.. (2018). Exposure to air pollution interacts with obesogenic nutrition to induce tissue-specific response patterns. Environmental Pollution. 239. 532–543. 18 indexed citations
11.
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
12.
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
13.
Haim, Yulia, Nir Goldstein, Boris Kirshtein, et al.. (2016). Decreased adiponectin links elevated adipose tissue autophagy with adipocyte endocrine dysfunction in obesity. International Journal of Obesity. 40(6). 912–920. 28 indexed citations
14.
Pecht, Tal, Yulia Haim, Nava Bashan, et al.. (2016). Circulating Blood Monocyte Subclasses and Lipid-Laden Adipose Tissue Macrophages in Human Obesity. PLoS ONE. 11(7). e0159350–e0159350. 30 indexed citations
15.
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
16.
Kosacka, Joanna, Matthias Kern, Nora Klöting, et al.. (2015). Autophagy in adipose tissue of patients with obesity and type 2 diabetes. Molecular and Cellular Endocrinology. 409. 21–32. 129 indexed citations
17.
Stienstra, Rinke, Yulia Haim, Yael Riahi, et al.. (2014). Autophagy in adipose tissue and the beta cell: implications for obesity and diabetes. Diabetologia. 57(8). 1505–1516. 79 indexed citations
18.
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
19.
20.
Haim, Yulia, Ori Nov, Orna Almog, et al.. (2011). Increased Adipocyte S-Nitrosylation Targets Anti-lipolytic Action of Insulin. Journal of Biological Chemistry. 286(35). 30433–30443. 41 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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