Aaron M. Mohs

4.5k total citations · 2 hit papers
71 papers, 3.6k citations indexed

About

Aaron M. Mohs is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Aaron M. Mohs has authored 71 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Biomedical Engineering, 21 papers in Molecular Biology and 20 papers in Materials Chemistry. Recurrent topics in Aaron M. Mohs's work include Nanoplatforms for cancer theranostics (24 papers), Cancer Research and Treatments (16 papers) and Nanoparticle-Based Drug Delivery (10 papers). Aaron M. Mohs is often cited by papers focused on Nanoplatforms for cancer theranostics (24 papers), Cancer Research and Treatments (16 papers) and Nanoparticle-Based Drug Delivery (10 papers). Aaron M. Mohs collaborates with scholars based in United States, Switzerland and China. Aaron M. Mohs's co-authors include Andrew M. Smith, Shaoping Nie, Shuming Nie, Hongwei Duan, Denis Svechkarev, Tanner K. Hill, Zheng‐Rong Lu, James M. Provenzale, Joshua J. Souchek and Deep Bhattacharya and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Gastroenterology.

In The Last Decade

Aaron M. Mohs

65 papers receiving 3.6k citations

Hit Papers

align trajectories

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.

Bioconjugated quantum dots for in vivo molecular and cellular imaging☆

2008 923 citations Aaron M. Mohs et al. profile →
Tuning the optical and electronic properties of colloidal nanocrystals by lattice strain

2008 702 citations Aaron M. Mohs et al. profile →

Peers

Aaron M. Mohs

BIOMA

EEE

Tae‐Jong Yoon South Korea

Hai‐Yan Xie China

Zhiliang Cheng United States

Xuewu Liu United States

Yuanyuan Cui China

Lorenzo Berti Italy

Raphaël Lévy United Kingdom

Bingbo Zhang China

Hung‐Wei Yang Taiwan

Wenwu Xiao China

Tae‐Jong Yoon South Korea

Aaron M. Mohs

1.5k ×0.8

1.7k ×1.2

1.2k ×1.2

1.2k ×1.7

BIOMA

283 ×0.4

EEE

Citations per year, relative to Aaron M. Mohs Aaron M. Mohs (= 1×) peers Tae‐Jong Yoon

Countries citing papers authored by Aaron M. Mohs

Since Specialization

Citations

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

Fields of papers citing papers by Aaron M. Mohs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron M. Mohs. 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 Aaron M. Mohs. The network helps show where Aaron M. Mohs may publish in the future.

Co-authorship network of co-authors of Aaron M. Mohs

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

All Works

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20 of 20 papers shown

Cox, Kristin E., Thinzar M. Lwin, Abhijit Aithal, et al.. (2025). Brightly Visualizing Pancreatic Cancer Margins in Orthotopic Mouse Models with an Anti-CA19-9 Antibody Conjugated to a Near-Infrared Fluorophore. Cancers. 17(16). 2617–2617.

Aithal, Abhijit, Kavita Mallya, Maneesh Jain, et al.. (2025). Mucin4 (MUC4) Antibody Labeled with an NIR Dye Brightly Targets Pancreatic Cancer Liver Metastases and Peritoneal Carcinomatosis. Cancers. 17(12). 2031–2031.

Mohs, Aaron M., et al.. (2025). Targeting MUC16 for fluorescence-guided surgery in pancreatic cancer. 7–7. 1 indexed citations

Gupta, Ritika, et al.. (2024). Machine learning assisted identification of antibiotic-resistant Staphylococcus aureus strains using a paper-based ratiometric sensor array. Microchemical Journal. 206. 111395–111395. 5 indexed citations

Cox, Kristin E., Thinzar M. Lwin, Abhijit Aithal, et al.. (2024). Targeting Human Pancreatic Cancer with a Fluorophore-Conjugated Mucin 4 (MUC4) Antibody: Initial Characterization in Orthotopic Cell Line Mouse Models. Journal of Clinical Medicine. 13(20). 6211–6211. 4 indexed citations

Svechkarev, Denis, et al.. (2024). Advancements of paper-based sensors for antibiotic-resistant bacterial species identification. PubMed. 1(1). 17–17. 12 indexed citations

Svechkarev, Denis, et al.. (2024). Optimizing the performance of silica nanoparticles functionalized with a near-infrared fluorescent dye for bioimaging applications. Nanotechnology. 35(30). 305605–305605. 5 indexed citations

Turner, Michael A., Kristin E. Cox, Hiroto Nishino, et al.. (2023). Highly Selective Targeting of Pancreatic Cancer in the Liver with a Near-Infrared Anti-MUC5AC Probe in a PDOX Mouse Model: A Proof-of-Concept Study. Journal of Personalized Medicine. 13(5). 857–857. 2 indexed citations

Ahmad, Rizwan, Balawant Kumar, Wei Xu, et al.. (2021). Colonoscopy-Based Intramucosal Transplantation of Cancer Cells for Mouse Modeling of Colon Cancer and Lung Metastasis. BioTechniques. 71(3). 9–9. 3 indexed citations

10.

Talmon, Geoffrey A., Thomas C. Caffrey, Prakash Radhakrishnan, et al.. (2020). Development of a MUC16-Targeted Near-Infrared Fluorescent Antibody Conjugate for Intraoperative Imaging of Pancreatic Cancer. Molecular Cancer Therapeutics. 19(8). 1670–1681. 16 indexed citations

11.

Talmon, Geoffrey A., et al.. (2020). Tuned near infrared fluorescent hyaluronic acid conjugates for delivery to pancreatic cancer for intraoperative imaging. Theranostics. 10(8). 3413–3429. 9 indexed citations

12.

Romanova, Svetlana, Benjamin T. Goetz, Lynette M. Smith, et al.. (2020). Nanoformulation of CCL21 greatly increases its effectiveness as an immunotherapy for neuroblastoma. Journal of Controlled Release. 327. 266–283. 13 indexed citations

13.

Mukadam, Insiya, Jatin Machhi, Jonathan Herskovitz, et al.. (2019). Rilpivirine-associated aggregation-induced emission enables cell-based nanoparticle tracking. Biomaterials. 231. 119669–119669. 22 indexed citations

14.

Souchek, Joshua J., Amanda L. Davis, Tanner K. Hill, et al.. (2017). Combination Treatment with Orlistat-Containing Nanoparticles and Taxanes Is Synergistic and Enhances Microtubule Stability in Taxane-Resistant Prostate Cancer Cells. Molecular Cancer Therapeutics. 16(9). 1819–1830. 39 indexed citations

15.

Svechkarev, Denis, et al.. (2017). Development of colloidally stable carbazole-based fluorescent nanoaggregates. Journal of Photochemistry and Photobiology A Chemistry. 352. 55–64. 5 indexed citations

16.

Svechkarev, Denis, et al.. (2017). The role of hydrophobic modification on hyaluronic acid dynamics and self-assembly. Carbohydrate Polymers. 182. 132–141. 67 indexed citations

17.

Kelkar, Sneha S., Tanner K. Hill, Frank C. Marini, & Aaron M. Mohs. (2016). Near infrared fluorescent nanoparticles based on hyaluronic acid: Self-assembly, optical properties, and cell interaction. Acta Biomaterialia. 36. 112–121. 37 indexed citations

18.

Hill, Tanner K., et al.. (2015). Fabrication and characterization of medical grade polyurethane composite catheters for near-infrared imaging. Biomaterials. 54. 168–176. 33 indexed citations

19.

Hill, Tanner K., Sneha S. Kelkar, Frank C. Marini, et al.. (2015). Indocyanine Green-Loaded Nanoparticles for Image-Guided Tumor Surgery. Bioconjugate Chemistry. 26(2). 294–303. 101 indexed citations

20.

Lu, Zheng‐Rong, et al.. (2006). Polydisulfide Gd(III) chelates as biodegradable macromolecular magnetic resonance imaging contrast agents. International Journal of Nanomedicine. 1(1). 31–40. 41 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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