Mehdi Layeghifard

2.4k total citations · 1 hit paper
17 papers, 977 citations indexed

About

Mehdi Layeghifard is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Mehdi Layeghifard has authored 17 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Oncology. Recurrent topics in Mehdi Layeghifard's work include Neuroblastoma Research and Treatments (3 papers), Complex Network Analysis Techniques (2 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). Mehdi Layeghifard is often cited by papers focused on Neuroblastoma Research and Treatments (3 papers), Complex Network Analysis Techniques (2 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). Mehdi Layeghifard collaborates with scholars based in Canada, United States and Czechia. Mehdi Layeghifard's co-authors include David S. Guttman, David Hwang, Pauline W. Wang, Lijie Yuan, Julia K. Copeland, Kwok‐wing Chau, Chuntian Cheng, Pedro R. Peres‐Neto, Vladimir Makarenkov and Yvonne Yau and has published in prestigious journals such as SHILAP Revista de lepidopterología, JNCI Journal of the National Cancer Institute and Journal of Hydrology.

In The Last Decade

Mehdi Layeghifard

15 papers receiving 966 citations

Hit Papers

Disentangling Interactions in the Microbiome: A Network P... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mehdi Layeghifard Canada 8 399 315 307 91 88 17 977
Alfonso Esposito Italy 17 399 1.0× 205 0.7× 380 1.2× 79 0.9× 51 0.6× 49 1.0k
Xiaoxuan Guo China 9 534 1.3× 400 1.3× 361 1.2× 51 0.6× 94 1.1× 10 1.2k
Yuan Qin China 9 560 1.4× 620 2.0× 366 1.2× 81 0.9× 104 1.2× 13 1.4k
Xianping Li China 25 515 1.3× 294 0.9× 425 1.4× 239 2.6× 193 2.2× 96 1.8k
G. Srinivas India 10 411 1.0× 899 2.9× 195 0.6× 61 0.7× 38 0.4× 14 1.3k
Stephan Gantner Germany 9 475 1.2× 482 1.5× 328 1.1× 37 0.4× 53 0.6× 10 1.0k
Hélène Niculita‐Hirzel Switzerland 19 225 0.6× 492 1.6× 291 0.9× 186 2.0× 132 1.5× 50 1.2k
Nico Weber Germany 7 706 1.8× 204 0.6× 566 1.8× 74 0.8× 53 0.6× 10 1.4k
Zachary Foster United States 6 318 0.8× 259 0.8× 203 0.7× 115 1.3× 29 0.3× 19 762
Migun Shakya United States 12 688 1.7× 322 1.0× 530 1.7× 34 0.4× 36 0.4× 21 1.3k

Countries citing papers authored by Mehdi Layeghifard

Since Specialization
Citations

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

Fields of papers citing papers by Mehdi Layeghifard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehdi Layeghifard

This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Layeghifard. A scholar is included among the top collaborators of Mehdi Layeghifard 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 Mehdi Layeghifard. Mehdi Layeghifard 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.
Hayes, Madeline N., Sarah Cohen‐Gogo, A. H. Weiss, et al.. (2025). DNA damage response deficiency enhances neuroblastoma progression and sensitivity to combination PARP and ATR inhibition. Cell Reports. 44(4). 115537–115537.
2.
Randall, Michael P., Zalman Vaksman, Minu Samanta, et al.. (2023). BARD1germline variants induce haploinsufficiency and DNA repair defects in neuroblastoma. JNCI Journal of the National Cancer Institute. 116(1). 138–148. 10 indexed citations
3.
Ohh, Michael, et al.. (2023). SHP2 Inhibition with TNO155 Increases Efficacy and Overcomes Resistance of ALK Inhibitors in Neuroblastoma. Cancer Research Communications. 3(12). 2608–2622. 3 indexed citations
4.
Lively, Starlee, Pratibha Potla, Osvaldo Espin‐Garcia, et al.. (2022). Association of presurgical circulating MicroRNAs with 1-year postsurgical pain reduction in spine facet osteoarthritis patients with lumbar spinal stenosis. SHILAP Revista de lepidopterología. 4(3). 100283–100283. 3 indexed citations
5.
Rockel, Jason S., Mehdi Layeghifard, Y. Raja Rampersaud, et al.. (2022). Identification of a differential metabolite-based signature in patients with late-stage knee osteoarthritis. SHILAP Revista de lepidopterología. 4(3). 100258–100258. 7 indexed citations
6.
Lively, Starlee, Pratibha Potla, Osvaldo Espin‐Garcia, et al.. (2022). ASSOCIATION OF PRESURGICAL CIRCULATING MICRORNAS WITH 1-YEAR POSTSURGICAL PAIN REDUCTION IN SPINE FACET OSTEOARTHRITIS PATIENTS WITH LUMBAR SPINAL STENOSIS. Osteoarthritis and Cartilage. 30. S361–S362. 1 indexed citations
7.
Layeghifard, Mehdi, Pauline W. Wang, Sylva L. Donaldson, et al.. (2019). Microbiome networks and change-point analysis reveal key community changes associated with cystic fibrosis pulmonary exacerbations. npj Biofilms and Microbiomes. 5(1). 4–4. 56 indexed citations
8.
Layeghifard, Mehdi, David Hwang, & David S. Guttman. (2018). Constructing and Analyzing Microbiome Networks in R. Methods in molecular biology. 1849. 243–266. 36 indexed citations
9.
Layeghifard, Mehdi, Michelle Klingel, Sanja Stanojevic, et al.. (2018). Epidemiology of Clonal Pseudomonas Aeruginosa Infection in a Canadian Cystic Fibrosis Population. Annals of the American Thoracic Society. 15(7). 827–836. 12 indexed citations
10.
Layeghifard, Mehdi, David Hwang, & David S. Guttman. (2016). Disentangling Interactions in the Microbiome: A Network Perspective. Trends in Microbiology. 25(3). 217–228. 578 indexed citations breakdown →
11.
Layeghifard, Mehdi, Vladimir Makarenkov, & Pedro R. Peres‐Neto. (2015). Spatial and species compositional networks for inferring connectivity patterns in ecological communities. Global Ecology and Biogeography. 24(6). 718–727. 14 indexed citations
12.
Copeland, Julia K., Lijie Yuan, Mehdi Layeghifard, Pauline W. Wang, & David S. Guttman. (2015). Seasonal Community Succession of the Phyllosphere Microbiome. Molecular Plant-Microbe Interactions. 28(3). 274–285. 210 indexed citations
13.
Layeghifard, Mehdi. (2014). Network frameworks for tackling ecological and evolutionary problems. Archipelago (Université du Québec à Montréal).
14.
Layeghifard, Mehdi, Pedro R. Peres‐Neto, & Vladimir Makarenkov. (2013). Inferring explicit weighted consensus networks to represent alternative evolutionary histories. BMC Evolutionary Biology. 13(1). 274–274. 3 indexed citations
15.
Layeghifard, Mehdi, Pedro R. Peres‐Neto, & Vladimir Makarenkov. (2012). Using directed phylogenetic networks to retrace species dispersal history. Molecular Phylogenetics and Evolution. 64(1). 190–197. 5 indexed citations
16.
17.
Cheng, Chuntian, et al.. (2008). A new indirect multi-step-ahead prediction model for a long-term hydrologic prediction. Journal of Hydrology. 361(1-2). 118–130. 37 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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