Andrew R. Ghazi

1.1k total citations
9 papers, 118 citations indexed

About

Andrew R. Ghazi is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Andrew R. Ghazi has authored 9 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Hematology and 1 paper in Genetics. Recurrent topics in Andrew R. Ghazi's work include Genomics and Phylogenetic Studies (3 papers), Platelet Disorders and Treatments (2 papers) and Bioinformatics and Genomic Networks (2 papers). Andrew R. Ghazi is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Platelet Disorders and Treatments (2 papers) and Bioinformatics and Genomic Networks (2 papers). Andrew R. Ghazi collaborates with scholars based in United States, United Kingdom and Hong Kong. Andrew R. Ghazi's co-authors include Curtis Huttenhower, Philipp C. Münch, Di Chen, Chad A. Shaw, Leonard C. Edelstein, Jason Lloyd‐Price, Yo Sup Moon, Levi Waldron, Ali Rahnavard and David Henke and has published in prestigious journals such as Bioinformatics, Journal of Molecular Biology and PLoS Genetics.

In The Last Decade

Andrew R. Ghazi

8 papers receiving 118 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew R. Ghazi United States 7 74 24 14 13 11 9 118
A. Varotto Italy 9 83 1.1× 22 0.9× 25 1.8× 2 0.2× 6 0.5× 13 329
Mohammad Doosti Iran 6 40 0.5× 25 1.0× 14 1.0× 2 0.2× 2 0.2× 18 137
Ian S. LaCroix United States 5 98 1.3× 14 0.6× 1 0.1× 7 0.5× 14 1.3× 15 264
Shoufang Qu China 8 74 1.0× 6 0.3× 5 0.4× 3 0.2× 6 0.5× 27 138
Otari Chipashvili United States 4 74 1.0× 8 0.3× 8 0.6× 16 1.5× 5 143
Stuart J. Bauer United States 4 62 0.8× 30 1.3× 5 0.4× 14 1.3× 5 117
Yingjun Yang China 11 119 1.6× 6 0.3× 8 0.6× 1 0.1× 8 0.7× 37 287
Alison L. Brown United Kingdom 7 17 0.2× 15 0.6× 3 0.2× 2 0.2× 35 3.2× 13 132
Heike Baron Germany 7 100 1.4× 7 0.3× 38 2.7× 6 0.5× 10 0.9× 8 251

Countries citing papers authored by Andrew R. Ghazi

Since Specialization
Citations

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

Fields of papers citing papers by Andrew R. Ghazi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew R. Ghazi. 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 Andrew R. Ghazi. The network helps show where Andrew R. Ghazi may publish in the future.

Co-authorship network of co-authors of Andrew R. Ghazi

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

All Works

9 of 9 papers shown
1.
Drnevich, Jenny, Frederick J. Tan, Fabricio Almeida‐Silva, et al.. (2025). Learning and teaching biological data science in the Bioconductor community. PLoS Computational Biology. 21(4). e1012925–e1012925.
2.
Wang, Kai, Raaj S. Mehta, Wenjie Ma, et al.. (2023). The gut microbiome modifies the associations of short- and long-term physical activity with body weight changes. Microbiome. 11(1). 121–121. 12 indexed citations
3.
Ghazi, Andrew R., et al.. (2022). Strain Identification and Quantitative Analysis in Microbial Communities. Journal of Molecular Biology. 434(15). 167582–167582. 20 indexed citations
4.
Ghazi, Andrew R., Ali Rahnavard, Eric A. Franzosa, et al.. (2022). High-sensitivity pattern discovery in large, paired multiomic datasets. Bioinformatics. 38(Supplement_1). i378–i385. 35 indexed citations
5.
Ghazi, Andrew R., et al.. (2020). Bayesian modelling of high-throughput sequencing assays with malacoda. PLoS Computational Biology. 16(7). e1007504–e1007504. 3 indexed citations
6.
Ghazi, Andrew R., et al.. (2019). Functionalization of CD36 cardiovascular disease and expression associated variants by interdisciplinary high throughput analysis. PLoS Genetics. 15(7). e1008287–e1008287. 8 indexed citations
7.
Henke, David, Andrew R. Ghazi, Marvin T. Nieman, et al.. (2018). The protease‐activated receptor 4 Ala120Thr variant alters platelet responsiveness to low‐dose thrombin and protease‐activated receptor 4 desensitization, and is blocked by non‐competitive P2Y12 inhibition. Journal of Thrombosis and Haemostasis. 16(12). 2501–2514. 20 indexed citations
8.
Ghazi, Andrew R., et al.. (2018). Design tools for MPRA experiments. Bioinformatics. 34(15). 2682–2683. 6 indexed citations
9.
Haghighi, Alireza, Munira Borhany, Andrew R. Ghazi, et al.. (2015). Glanzmann thrombasthenia in Pakistan: molecular analysis and identification of novel mutations. Clinical Genetics. 89(2). 187–192. 14 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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