Tal Pecht

2.9k total citations
18 papers, 543 citations indexed

About

Tal Pecht is a scholar working on Epidemiology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tal Pecht has authored 18 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Physiology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tal Pecht's work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (7 papers) and Cardiovascular Disease and Adiposity (3 papers). Tal Pecht is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (7 papers) and Cardiovascular Disease and Adiposity (3 papers). Tal Pecht collaborates with scholars based in Germany, Israel and Netherlands. Tal Pecht's co-authors include Assaf Rudich, Nava Bashan, Boris Kirshtein, Hagit Shapiro, Yulia Haim, Ilana Harman‐Boehm, Iris Shai, Matthias Blüher, Ruthy Shaco‐Levy and Karine Clément and has published in prestigious journals such as Nature Immunology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Tal Pecht

18 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tal Pecht Germany 12 214 210 117 111 96 18 543
Emily K. Anderson‐Baucum United States 13 223 1.0× 244 1.2× 159 1.4× 148 1.3× 256 2.7× 22 842
Jefferson P. Lomenick United States 14 114 0.5× 134 0.6× 91 0.8× 123 1.1× 97 1.0× 20 579
Marek Paradowski Poland 13 206 1.0× 152 0.7× 71 0.6× 87 0.8× 104 1.1× 37 602
H-G. Kopp Germany 6 211 1.0× 187 0.9× 142 1.2× 65 0.6× 40 0.4× 18 556
Nicolai Worm Germany 7 152 0.7× 143 0.7× 78 0.7× 56 0.5× 145 1.5× 20 554
David Gable United Kingdom 11 219 1.0× 218 1.0× 79 0.7× 50 0.5× 151 1.6× 18 686
Renata Saucedo Mexico 16 157 0.7× 98 0.5× 63 0.5× 132 1.2× 156 1.6× 77 836
F Rassoul Germany 15 118 0.6× 155 0.7× 136 1.2× 80 0.7× 117 1.2× 36 667
Antje Koerner Germany 7 246 1.1× 197 0.9× 45 0.4× 47 0.4× 83 0.9× 11 583
Tuyet Thi Nguyen South Korea 13 119 0.6× 185 0.9× 87 0.7× 44 0.4× 283 2.9× 22 730

Countries citing papers authored by Tal Pecht

Since Specialization
Citations

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

Fields of papers citing papers by Tal Pecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tal Pecht

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

All Works

18 of 18 papers shown
1.
Koch, Sandra, et al.. (2024). Impact of Physiological Fluctuations of Sex Hormones During the Menstrual Cycle on Glucose Metabolism and the Gut Microbiota. Experimental and Clinical Endocrinology & Diabetes. 132(5). 267–278. 7 indexed citations
2.
Temba, Godfrey S., Vesla Kullaya, Tal Pecht, et al.. (2023). Differences in the inflammatory proteome of East African and Western European adults and associations with environmental and dietary factors. eLife. 12. 3 indexed citations
3.
Kullaya, Vesla, Godfrey S. Temba, Collins K. Boahen, et al.. (2023). Genetic and nongenetic drivers of platelet reactivity in healthy Tanzanian individuals. Journal of Thrombosis and Haemostasis. 22(3). 805–817. 1 indexed citations
4.
Paola, Monica Di, Elena Banci, S Diallo, et al.. (2022). Changing Dietary Habits: The Impact of Urbanization and Rising Socio-Economic Status in Families from Burkina Faso in Sub-Saharan Africa. Nutrients. 14(9). 1782–1782. 60 indexed citations
5.
Kretschmer, Lorenz, et al.. (2022). Community perspective: The importance of in‐person meetings for young immunologists. European Journal of Immunology. 52(12). 1876–1879. 1 indexed citations
6.
Temba, Godfrey S., Vesla Kullaya, Tal Pecht, et al.. (2021). Urban living in healthy Tanzanians is associated with an inflammatory status driven by dietary and metabolic changes. Nature Immunology. 22(3). 287–300. 44 indexed citations
7.
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
8.
Goldstein, Nir, Yftach Gepner, Yulia Haim, et al.. (2020). Higher Mast Cell Accumulation in Human Adipose Tissues Defines Clinically Favorable Obesity Sub-Phenotypes. Cells. 9(6). 1508–1508. 13 indexed citations
9.
Pecht, Tal, Anna C. Aschenbrenner, Thomas Ulas, & A. Succurro. (2019). Modeling population heterogeneity from microbial communities to immune response in cells. Cellular and Molecular Life Sciences. 77(3). 415–432. 6 indexed citations
10.
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
11.
Pecht, Tal, Nir Goldstein, Yulia Haim, et al.. (2019). The effects of ambient particulate matter on human adipose tissue. Journal of Toxicology and Environmental Health. 82(9). 564–576. 11 indexed citations
12.
Boura‐Halfon, Sigalit, Tal Pecht, Steffen Jung, & Assaf Rudich. (2018). Obesity and dysregulated central and peripheral macrophage–neuron cross‐talk. European Journal of Immunology. 49(1). 19–29. 20 indexed citations
13.
Aron‐Wisnewsky, Judith, Nataliya Sokolovska, Yuejun Liu, et al.. (2017). The advanced-DiaRem score improves prediction of diabetes remission 1 year post-Roux-en-Y gastric bypass. Diabetologia. 60(10). 1892–1902. 97 indexed citations
14.
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
15.
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
16.
Pecht, Tal, et al.. (2016). Transcriptional Dysregulation of Adipose Tissue Autophagy in Obesity. Physiology. 31(4). 270–282. 31 indexed citations
17.
Pecht, Tal, et al.. (2013). Peripheral blood leucocyte subclasses as potential biomarkers of adipose tissue inflammation and obesity subphenotypes in humans. Obesity Reviews. 15(4). 322–337. 76 indexed citations
18.
Shapiro, Hagit, Tal Pecht, Ruthy Shaco‐Levy, et al.. (2013). Adipose Tissue Foam Cells Are Present in Human Obesity. The Journal of Clinical Endocrinology & Metabolism. 98(3). 1173–1181. 99 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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