Pedrum Mohammadi‐Shemirani

1.4k total citations · 1 hit paper
17 papers, 709 citations indexed

About

Pedrum Mohammadi‐Shemirani is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Pedrum Mohammadi‐Shemirani has authored 17 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Pedrum Mohammadi‐Shemirani's work include Genetic Associations and Epidemiology (10 papers), Lipoproteins and Cardiovascular Health (3 papers) and Mitochondrial Function and Pathology (2 papers). Pedrum Mohammadi‐Shemirani is often cited by papers focused on Genetic Associations and Epidemiology (10 papers), Lipoproteins and Cardiovascular Health (3 papers) and Mitochondrial Function and Pathology (2 papers). Pedrum Mohammadi‐Shemirani collaborates with scholars based in Canada, Germany and Ireland. Pedrum Mohammadi‐Shemirani's co-authors include Guillaume Paré, Michael Chong, Marie Pigeyre, Hertzel C. Gerstein, Ricky Lali, Sukrit Narula, Robert W. Morton, Sibylle Hess, Jennifer Sjaarda and Brennan K. Smith and has published in prestigious journals such as Circulation, Nature Communications and Journal of the American College of Cardiology.

In The Last Decade

Pedrum Mohammadi‐Shemirani

17 papers receiving 706 citations

Hit Papers

Surrogate Adiposity Markers and Mortality 2023 2026 2024 2025 2023 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Surrogate Adiposity Markers and Mortality
    2023 74 citations Michael Chong, Pedrum Mohammadi‐Shemirani et al. JAMA Network Open profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedrum Mohammadi‐Shemirani Canada 11 247 196 146 141 114 17 709
Jennifer Sjaarda Canada 12 168 0.7× 117 0.6× 108 0.7× 137 1.0× 73 0.6× 18 490
Sandra Romero‐Hidalgo Mexico 16 223 0.9× 182 0.9× 61 0.4× 181 1.3× 171 1.5× 36 813
Uyenlinh L. Mirshahi United States 12 208 0.8× 189 1.0× 107 0.7× 235 1.7× 224 2.0× 26 844
Katrine Laura Rasmussen Denmark 16 178 0.7× 335 1.7× 53 0.4× 89 0.6× 141 1.2× 31 798
Hanbin Cui China 12 268 1.1× 153 0.8× 50 0.3× 68 0.5× 89 0.8× 62 682
Arianna Maiorana Italy 17 226 0.9× 159 0.8× 89 0.6× 108 0.8× 123 1.1× 52 839
Sam Lockhart United Kingdom 16 190 0.8× 185 0.9× 122 0.8× 46 0.3× 169 1.5× 28 786
Natalia Wawrusiewicz‐Kurylonek Poland 20 194 0.8× 146 0.7× 50 0.3× 243 1.7× 148 1.3× 73 991
John Cardinal Australia 16 256 1.0× 132 0.7× 41 0.3× 168 1.2× 145 1.3× 35 828
Elisabetta Pasquini Italy 23 589 2.4× 232 1.2× 366 2.5× 158 1.1× 80 0.7× 59 1.4k

Countries citing papers authored by Pedrum Mohammadi‐Shemirani

Since Specialization
Citations

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

Fields of papers citing papers by Pedrum Mohammadi‐Shemirani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedrum Mohammadi‐Shemirani. 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 Pedrum Mohammadi‐Shemirani. The network helps show where Pedrum Mohammadi‐Shemirani may publish in the future.

Co-authorship network of co-authors of Pedrum Mohammadi‐Shemirani

This figure shows the co-authorship network connecting the top 25 collaborators of Pedrum Mohammadi‐Shemirani. A scholar is included among the top collaborators of Pedrum Mohammadi‐Shemirani 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 Pedrum Mohammadi‐Shemirani. Pedrum Mohammadi‐Shemirani 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.
Chong, Michael, Pedrum Mohammadi‐Shemirani, Robert W. Morton, et al.. (2023). Surrogate Adiposity Markers and Mortality. JAMA Network Open. 6(9). e2334836–e2334836. 74 indexed citations breakdown →
2.
Mohammadi‐Shemirani, Pedrum, et al.. (2023). From ‘Omics to Multi-omics Technologies: the Discovery of Novel Causal Mediators. Current Atherosclerosis Reports. 25(2). 55–65. 37 indexed citations
3.
4.
Perrot, Nicolas, Michael Chong, Pedrum Mohammadi‐Shemirani, et al.. (2023). Biomarkers Associated With Severe COVID-19 Among Populations With High Cardiometabolic Risk. JAMA Network Open. 6(7). e2325914–e2325914. 7 indexed citations
5.
Lali, Ricky, Robert W. Morton, Pedrum Mohammadi‐Shemirani, et al.. (2023). 221-LB: Identification of PAM as Novel Monogenic Diabetes Gene. Diabetes. 72(Supplement_1). 1 indexed citations
6.
Chong, Michael, Pedrum Mohammadi‐Shemirani, Nicolas Perrot, et al.. (2022). GWAS and ExWAS of blood mitochondrial DNA copy number identifies 71 loci and highlights a potential causal role in dementia. eLife. 11. 71 indexed citations
7.
Mohammadi‐Shemirani, Pedrum, Michael Chong, Sukrit Narula, et al.. (2022). Elevated Lipoprotein(a) and Risk of Atrial Fibrillation. Journal of the American College of Cardiology. 79(16). 1579–1590. 63 indexed citations
8.
Mohammadi‐Shemirani, Pedrum, Michael Chong, Nicolas Perrot, et al.. (2022). ACLY and CKD: A Mendelian Randomization Analysis. Kidney International Reports. 7(7). 1673–1681. 5 indexed citations
9.
Lali, Ricky, et al.. (2021). Calibrated rare variant genetic risk scores for complex disease prediction using large exome sequence repositories. Nature Communications. 12(1). 5852–5852. 23 indexed citations
10.
Chong, Michael, Sukrit Narula, Robert W. Morton, et al.. (2021). Mitochondrial DNA Copy Number as a Marker and Mediator of Stroke Prognosis. Neurology. 98(5). e470–e482. 19 indexed citations
11.
Sjaarda, Jennifer, Hertzel C. Gerstein, Zoltán Kutalik, et al.. (2020). Influence of Genetic Ancestry on Human Serum Proteome. The American Journal of Human Genetics. 106(3). 303–314. 16 indexed citations
12.
Mohammadi‐Shemirani, Pedrum, Ran Lu, Mostafa Kabiri, et al.. (2020). Metformin-induced increases in GDF15 are important for suppressing appetite and promoting weight loss. Yearbook of pediatric endocrinology. 6 indexed citations
13.
Chong, Michael, Ricky Lali, Pedrum Mohammadi‐Shemirani, et al.. (2020). Global Assessment of Mendelian Stroke Genetic Prevalence in 101 635 Individuals From 7 Ethnic Groups. Stroke. 51(4). 1290–1293. 13 indexed citations
14.
Mohammadi‐Shemirani, Pedrum, Michael Chong, Marie Pigeyre, et al.. (2020). Effects of lifelong testosterone exposure on health and disease using Mendelian randomization. eLife. 9. 34 indexed citations
15.
Day, Emily A., Rebecca J. Ford, Brennan K. Smith, et al.. (2019). Metformin-induced increases in GDF15 are important for suppressing appetite and promoting weight loss. Nature Metabolism. 1(12). 1202–1208. 219 indexed citations
16.
Chong, Michael, Jennifer Sjaarda, Marie Pigeyre, et al.. (2019). Novel Drug Targets for Ischemic Stroke Identified Through Mendelian Randomization Analysis of the Blood Proteome. Circulation. 140(10). 819–830. 105 indexed citations
17.
Mohammadi‐Shemirani, Pedrum, Jennifer Sjaarda, Hertzel C. Gerstein, et al.. (2018). A Mendelian Randomization-Based Approach to Identify Early and Sensitive Diagnostic Biomarkers of Disease. Clinical Chemistry. 65(3). 427–436. 9 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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