Maaz S. Ahmed

1.3k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Maaz S. Ahmed is a scholar working on Molecular Biology, Organic Chemistry and Immunology. According to data from OpenAlex, Maaz S. Ahmed has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Immunology. Recurrent topics in Maaz S. Ahmed's work include Click Chemistry and Applications (3 papers), Cardiac Fibrosis and Remodeling (2 papers) and Single-cell and spatial transcriptomics (2 papers). Maaz S. Ahmed is often cited by papers focused on Click Chemistry and Applications (3 papers), Cardiac Fibrosis and Remodeling (2 papers) and Single-cell and spatial transcriptomics (2 papers). Maaz S. Ahmed collaborates with scholars based in United States. Maaz S. Ahmed's co-authors include Ralph Weissleder, Christopher B. Rodell, Mikäel J. Pittet, Christopher Garris, Rainer H. Köhler, Ran Li, Sean P. Arlauckas, Michael F. Cuccarese, Jonathan Carlson and Jina Ko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Bioconjugate Chemistry.

In The Last Decade

Maaz S. Ahmed

9 papers receiving 1.1k citations

Hit Papers

TLR7/8-agonist-loaded nanoparticles promote the polarizat... 2018 2026 2020 2023 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maaz S. Ahmed United States 7 708 461 316 254 160 9 1.1k
Manisit Das United States 13 338 0.5× 342 0.7× 279 0.9× 302 1.2× 215 1.3× 17 810
Dandan Wan China 11 440 0.6× 235 0.5× 360 1.1× 291 1.1× 158 1.0× 16 919
Binfan Chen China 12 362 0.5× 470 1.0× 340 1.1× 209 0.8× 272 1.7× 14 913
Feifei Yang China 16 340 0.5× 239 0.5× 282 0.9× 211 0.8× 215 1.3× 32 837
Anujan Ramesh United States 11 519 0.7× 332 0.7× 232 0.7× 179 0.7× 99 0.6× 19 739
Hanwu Zhang China 7 340 0.5× 543 1.2× 235 0.7× 211 0.8× 223 1.4× 10 819
Chayanon Ngambenjawong United States 10 472 0.7× 244 0.5× 498 1.6× 245 1.0× 103 0.6× 15 1.0k
Matthias Van Woensel Belgium 14 350 0.5× 198 0.4× 394 1.2× 179 0.7× 233 1.5× 14 1.1k
Miao Kong China 7 360 0.5× 566 1.2× 356 1.1× 142 0.6× 346 2.2× 10 841
Zhaohan Wei China 15 426 0.6× 706 1.5× 526 1.7× 196 0.8× 283 1.8× 23 1.3k

Countries citing papers authored by Maaz S. Ahmed

Since Specialization
Citations

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

Fields of papers citing papers by Maaz S. Ahmed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maaz S. Ahmed. 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 Maaz S. Ahmed. The network helps show where Maaz S. Ahmed may publish in the future.

Co-authorship network of co-authors of Maaz S. Ahmed

This figure shows the co-authorship network connecting the top 25 collaborators of Maaz S. Ahmed. A scholar is included among the top collaborators of Maaz S. Ahmed 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 Maaz S. Ahmed. Maaz S. Ahmed 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.
Koch, Peter D., et al.. (2021). Small Molecule Imaging Agent for Mutant KRAS G12C. Advanced Therapeutics. 4(5). 5 indexed citations
2.
Ko, Jina, Juhyun Oh, Maaz S. Ahmed, Jonathan Carlson, & Ralph Weissleder. (2020). Ultra‐fast Cycling for Multiplexed Cellular Fluorescence Imaging. Angewandte Chemie. 132(17). 6906–6913. 9 indexed citations
3.
Ko, Jina, Juhyun Oh, Maaz S. Ahmed, Jonathan Carlson, & Ralph Weissleder. (2020). Ultra‐fast Cycling for Multiplexed Cellular Fluorescence Imaging. Angewandte Chemie International Edition. 59(17). 6839–6846. 38 indexed citations
4.
Ahmed, Maaz S., Christopher B. Rodell, Maarten Hulsmans, et al.. (2019). A Supramolecular Nanocarrier for Delivery of Amiodarone Anti-Arrhythmic Therapy to the Heart. Bioconjugate Chemistry. 30(3). 733–740. 23 indexed citations
5.
Rodell, Christopher B., Maaz S. Ahmed, Christopher Garris, Mikäel J. Pittet, & Ralph Weissleder. (2019). Development of Adamantane-Conjugated TLR7/8 Agonists for Supramolecular Delivery and Cancer Immunotherapy. Theranostics. 9(26). 8426–8436. 76 indexed citations
6.
Wang, Cuihua, Edmund J. Keliher, Matthias Zeller, et al.. (2019). An activatable PET imaging radioprobe is a dynamic reporter of myeloperoxidase activity in vivo. Proceedings of the National Academy of Sciences. 116(24). 11966–11971. 33 indexed citations
7.
Koch, Peter D., Maaz S. Ahmed, Rainer H. Köhler, Ran Li, & Ralph Weissleder. (2019). Imaging of Tie2 with a Fluorescently Labeled Small Molecule Affinity Ligand. ACS Chemical Biology. 15(1). 151–157. 6 indexed citations
8.
Rodell, Christopher B., Sean P. Arlauckas, Michael F. Cuccarese, et al.. (2018). TLR7/8-agonist-loaded nanoparticles promote the polarization of tumour-associated macrophages to enhance cancer immunotherapy. Nature Biomedical Engineering. 2(8). 578–588. 867 indexed citations breakdown →
9.
Martarello, Laurent, Maaz S. Ahmed, V J Cunningham, et al.. (2005). RADIOLABELLING AND IN VIVO EVALUATION OF [C-11]GSK215083 AS A POTENTIAL 5-HT6 PET RADIOLIGAND IN THE PORCINE BRAIN. Journal of Labelled Compounds and Radiopharmaceuticals. 48. 3 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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