Lea Dib

1.7k total citations
19 papers, 807 citations indexed

About

Lea Dib is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Lea Dib has authored 19 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 6 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Lea Dib's work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Single-cell and spatial transcriptomics (4 papers). Lea Dib is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Single-cell and spatial transcriptomics (4 papers). Lea Dib collaborates with scholars based in United States, United Kingdom and Lebanon. Lea Dib's co-authors include Ghada El‐Hajj Fuleihan, Mohamad A. Mikati, Raja Sawaya, Bassem Yamout, Tonatiuh Melgarejo, Claudia Monaco, Sheila Collins, Anne Bugge, Amal C. Rahi and Annika Linde and has published in prestigious journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and Neurology.

In The Last Decade

Lea Dib

18 papers receiving 784 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lea Dib United States	14	228	201	173	170	140	19	807
Jean Tkaczuk France	18	170 0.7×	264 1.3×	39 0.2×	175 1.0×	205 1.5×	48	941
B Ogunkolade United Kingdom	14	214 0.9×	111 0.6×	83 0.5×	112 0.7×	157 1.1×	22	959
Kenji Hosoda Japan	16	219 1.0×	65 0.3×	21 0.1×	263 1.5×	133 0.9×	40	855
Sotaro Mushiake Japan	21	558 2.4×	66 0.3×	144 0.8×	129 0.8×	262 1.9×	61	1.5k
Yongli Yao China	11	496 2.2×	554 2.8×	72 0.4×	73 0.4×	110 0.8×	17	1.4k
David Laperrière Canada	11	462 2.0×	162 0.8×	34 0.2×	94 0.6×	129 0.9×	13	1.2k
Chung‐Hsing Wang Taiwan	16	341 1.5×	142 0.7×	98 0.6×	89 0.5×	49 0.3×	56	837
Ronit Gavrieli Israel	19	141 0.6×	466 2.3×	31 0.2×	128 0.8×	120 0.9×	36	903
Letícia S. Alves Brazil	10	656 2.9×	270 1.3×	199 1.2×	203 1.2×	186 1.3×	10	1.3k
C.S. Reddy Meka United States	10	249 1.1×	240 1.2×	26 0.2×	265 1.6×	360 2.6×	11	884

Countries citing papers authored by Lea Dib

Since Specialization

Citations

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

Fields of papers citing papers by Lea Dib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lea Dib

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Pan, Mengyu, W. Wang, Lea Dib, et al.. (2025). Spatial transcriptomics reveals a key role of fibroblast-like vascular smooth muscle cells in human atherosclerotic cell crosstalk and stability. European Heart Journal.

Monaco, Claudia & Lea Dib. (2024). Atheroimmunology: keeping the immune system in atherosclerosis in check. Nature Reviews Cardiology. 21(11). 737–738. 6 indexed citations

Dib, Lea, Lada A. Koneva, Andreas Edsfeldt, et al.. (2023). Lipid-associated macrophages transition to an inflammatory state in human atherosclerosis, increasing the risk of cerebrovascular complications. Nature Cardiovascular Research. 2(7). 656–672. 61 indexed citations

Winther, Menno P.J. de, Magnus Bäck, Paul C. Evans, et al.. (2022). Translational opportunities of single-cell biology in atherosclerosis. European Heart Journal. 44(14). 1216–1230. 50 indexed citations

Recio, Carlota, Gareth S. D. Purvis, Poppy Iveson, et al.. (2018). Activation of the Immune-Metabolic Receptor GPR84 Enhances Inflammation and Phagocytosis in Macrophages. Frontiers in Immunology. 9. 1419–1419. 105 indexed citations

Schilperoort, Maaike, Andrea D. van Dam, Geerte Hoeke, et al.. (2018). The GPR 120 agonist TUG ‐891 promotes metabolic health by stimulating mitochondrial respiration in brown fat. EMBO Molecular Medicine. 10(3). 78 indexed citations

Chimen, Myriam, Clara M. Yates, Helen M. McGettrick, et al.. (2017). Monocyte Subsets Coregulate Inflammatory Responses by Integrated Signaling through TNF and IL-6 at the Endothelial Cell Interface. The Journal of Immunology. 198(7). 2834–2843. 76 indexed citations

Dib, Lea, M. Teresa Ortega, Tonatiuh Melgarejo, & Stephen K. Chapes. (2015). Establishment and characterization of DB-1: a leptin receptor-deficient murine macrophage cell line. Cytotechnology. 68(4). 921–933. 7 indexed citations

Bugge, Anne, Lea Dib, & Sheila Collins. (2014). Measuring Respiratory Activity of Adipocytes and Adipose Tissues in Real Time. Methods in enzymology on CD-ROM/Methods in enzymology. 538. 233–247. 26 indexed citations

10.

Sellayah, Dyan, Lea Dib, Frederick W. Anthony, et al.. (2014). Effect of maternal protein restriction during pregnancy and postweaning high-fat feeding on diet-induced thermogenesis in adult mouse offspring. European Journal of Nutrition. 53(7). 1523–1531. 16 indexed citations

11.

Dib, Lea, Anne Bugge, & Sheila Collins. (2013). LXRα fuels fatty acid-stimulated oxygen consumption in white adipocytes. Journal of Lipid Research. 55(2). 247–257. 23 indexed citations

12.

Dib, Lea, M. Teresa Ortega, Sherry D. Fleming, Stephen K. Chapes, & Tonatiuh Melgarejo. (2013). Bone Marrow Leptin Signaling Mediates Obesity-Associated Adipose Tissue Inflammation in Male Mice. Endocrinology. 155(1). 40–46. 45 indexed citations

13.

Carbone, Alessandra & Lea Dib. (2010). Co-evolution and information signals in biological sequences. Theoretical Computer Science. 412(23). 2486–2495. 6 indexed citations

14.

Linde, Annika, Bettina Wachter, Oliver P. Höner, et al.. (2009). Natural History of Innate Host Defense Peptides. Probiotics and Antimicrobial Proteins. 1(2). 97–112. 7 indexed citations

15.

Linde, Annika, C. R. Ross, Elizabeth G. Davis, et al.. (2008). Innate Immunity and Host Defense Peptides in Veterinary Medicine. Journal of Veterinary Internal Medicine. 22(2). 247–265. 72 indexed citations

16.

Fuleihan, Ghada El‐Hajj, Lea Dib, Bassem Yamout, Raja Sawaya, & Mohamad A. Mikati. (2008). Predictors of bone density in ambulatory patients on antiepileptic drugs. Bone. 43(1). 149–155. 86 indexed citations

17.

Mikati, Mohamad A., Lea Dib, Bassem Yamout, et al.. (2006). Two randomized vitamin D trials in ambulatory patients on anticonvulsants. Neurology. 67(11). 2005–2014. 91 indexed citations

18.

Hwalla, Nahla, et al.. (2005). High Plasma Leptin Is Not Associated with Higher Bone Mineral Density in Insulin-Resistant Premenopausal Obese Women. The Journal of Clinical Endocrinology & Metabolism. 90(5). 2588–2594. 17 indexed citations

19.

Dib, Lea, Asma Arabi, Joyce Maalouf, Mona Nabulsi, & Ghada El‐Hajj Fuleihan. (2005). Impact of anthropometric, lifestyle, and body composition variables on ultrasound measurements in school children. Bone. 36(4). 736–742. 35 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.

Explore authors with similar magnitude of impact