Amer-Denis Akkad

2.3k total citations · 3 hit papers
5 papers, 760 citations indexed

About

Amer-Denis Akkad is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Amer-Denis Akkad has authored 5 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Amer-Denis Akkad's work include Single-cell and spatial transcriptomics (4 papers), Gene Regulatory Network Analysis (2 papers) and Viral Infections and Immunology Research (1 paper). Amer-Denis Akkad is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Gene Regulatory Network Analysis (2 papers) and Viral Infections and Immunology Research (1 paper). Amer-Denis Akkad collaborates with scholars based in United States, Netherlands and Finland. Amer-Denis Akkad's co-authors include Patrick T. Ellinor, Mark Chaffin, Alessandro Arduini, Stephen J. Fleming, Mehrtash Babadi, Kenneth Bedi, Kenneth B. Margulies, Nathan R. Tucker, Irinna Papangeli and Christian M. Stegmann and has published in prestigious journals such as Nature, Circulation and Nature Methods.

In The Last Decade

Amer-Denis Akkad

5 papers receiving 758 citations

Hit Papers

Transcriptional and Cellular Diversity of the Human Heart 2020 2026 2022 2024 2020 2023 2022 100 200 300
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. Transcriptional and Cellular Diversity of the Human Heart
    2020 332 citations Nathan R. Tucker, Mark Chaffin et al. Circulation profile →
  2. Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender
    2023 218 citations Stephen J. Fleming, Mark Chaffin et al. Nature Methods profile →
  3. Single-nucleus profiling of human dilated and hypertrophic cardiomyopathy
    2022 180 citations Mark Chaffin, Irinna Papangeli et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amer-Denis Akkad United States 5 483 253 112 84 69 5 760
Stephen J. Fleming United States 6 483 1.0× 252 1.0× 103 0.9× 81 1.0× 68 1.0× 12 774
Micheal A. McLellan United States 8 515 1.1× 402 1.6× 102 0.9× 120 1.4× 69 1.0× 11 838
Daniëlle Versteeg Netherlands 15 612 1.3× 360 1.4× 84 0.8× 163 1.9× 71 1.0× 21 931
Qinkun Zhang United States 15 323 0.7× 247 1.0× 140 1.3× 86 1.0× 117 1.7× 30 698
Mitsuru Horiba Japan 14 439 0.9× 246 1.0× 67 0.6× 72 0.9× 64 0.9× 18 753
Bart Weijts Netherlands 14 456 0.9× 80 0.3× 130 1.2× 28 0.3× 95 1.4× 19 662
Federico Colombo Italy 17 373 0.8× 114 0.5× 108 1.0× 39 0.5× 37 0.5× 22 608
Mei Chen United States 9 468 1.0× 59 0.2× 60 0.5× 49 0.6× 34 0.5× 12 811
Irinna Papangeli United States 15 806 1.7× 328 1.3× 105 0.9× 182 2.2× 83 1.2× 17 1.2k

Countries citing papers authored by Amer-Denis Akkad

Since Specialization
Citations

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

Fields of papers citing papers by Amer-Denis Akkad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amer-Denis Akkad. 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 Amer-Denis Akkad. The network helps show where Amer-Denis Akkad may publish in the future.

Co-authorship network of co-authors of Amer-Denis Akkad

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

All Works

5 of 5 papers shown
1.
Arduini, Alessandro, Stephen J. Fleming, Ling Xiao, et al.. (2024). Transcriptional profile of the rat cardiovascular system at single-cell resolution. Cell Reports. 44(1). 115091–115091. 4 indexed citations
2.
Fleming, Stephen J., Mark Chaffin, Alessandro Arduini, et al.. (2023). Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender. Nature Methods. 20(9). 1323–1335. 218 indexed citations breakdown →
3.
Chou, Elizabeth L., Mark Chaffin, Bridget Simonson, et al.. (2022). Aortic Cellular Diversity and Quantitative Genome-Wide Association Study Trait Prioritization Through Single-Nuclear RNA Sequencing of the Aneurysmal Human Aorta. Arteriosclerosis Thrombosis and Vascular Biology. 42(11). 1355–1374. 26 indexed citations
4.
Chaffin, Mark, Irinna Papangeli, Bridget Simonson, et al.. (2022). Single-nucleus profiling of human dilated and hypertrophic cardiomyopathy. Nature. 608(7921). 174–180. 180 indexed citations breakdown →
5.
Tucker, Nathan R., Mark Chaffin, Stephen J. Fleming, et al.. (2020). Transcriptional and Cellular Diversity of the Human Heart. Circulation. 142(5). 466–482. 332 indexed citations breakdown →

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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