Daniel A. Heller

15.0k total citations · 5 hit papers
134 papers, 10.7k citations indexed

About

Daniel A. Heller is a scholar working on Biomedical Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Daniel A. Heller has authored 134 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Biomedical Engineering, 59 papers in Materials Chemistry and 50 papers in Molecular Biology. Recurrent topics in Daniel A. Heller's work include Carbon Nanotubes in Composites (51 papers), Advanced biosensing and bioanalysis techniques (20 papers) and Nanopore and Nanochannel Transport Studies (18 papers). Daniel A. Heller is often cited by papers focused on Carbon Nanotubes in Composites (51 papers), Advanced biosensing and bioanalysis techniques (20 papers) and Nanopore and Nanochannel Transport Studies (18 papers). Daniel A. Heller collaborates with scholars based in United States, Israel and United Kingdom. Daniel A. Heller's co-authors include Michael S. Strano, Paul W. Barone, Jin Hong, Seunghyun Baik, Yosi Shamay, Ryan M. Williams, Prakrit V. Jena, Daniel G. Anderson, Maurizio Scaltriti and Róbert Langer and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel A. Heller

122 papers receiving 10.5k citations

Hit Papers

Treating metastatic cancer with nanotechnology 2004 2026 2011 2018 2011 2004 2021 2023 2022 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
Daniel A. Heller United States 53 5.1k 5.0k 3.4k 1.6k 1.4k 134 10.7k
Xinghua Shi China 64 6.5k 1.3× 4.3k 0.9× 3.7k 1.1× 2.2k 1.4× 2.1k 1.5× 251 13.9k
Samuel Achilefu United States 65 4.3k 0.9× 6.4k 1.3× 4.0k 1.2× 1.7k 1.0× 943 0.7× 337 14.8k
Yanlian Yang China 47 4.1k 0.8× 3.4k 0.7× 2.3k 0.7× 1.4k 0.9× 2.0k 1.4× 269 9.8k
Ji‐Ho Park South Korea 51 3.4k 0.7× 5.4k 1.1× 3.6k 1.1× 3.2k 2.0× 821 0.6× 228 11.4k
Chenjie Xu Singapore 62 4.9k 1.0× 6.2k 1.2× 3.9k 1.1× 4.1k 2.6× 1.3k 0.9× 223 15.5k
Igor Nabiev Russia 46 4.4k 0.9× 2.6k 0.5× 3.3k 1.0× 884 0.6× 1.6k 1.1× 303 8.7k
Chen Wang China 52 4.1k 0.8× 4.9k 1.0× 2.9k 0.9× 1.8k 1.1× 2.4k 1.7× 326 10.1k
Indrajit Roy India 56 6.4k 1.3× 5.3k 1.1× 3.8k 1.1× 2.7k 1.7× 1.3k 0.9× 156 12.2k
Wei Qian China 51 4.0k 0.8× 5.0k 1.0× 2.8k 0.8× 1.9k 1.2× 3.3k 2.3× 259 13.5k
Xiaohong Fang China 58 2.9k 0.6× 4.1k 0.8× 7.8k 2.3× 721 0.4× 1.2k 0.9× 236 12.5k

Countries citing papers authored by Daniel A. Heller

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Heller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Heller. 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 Daniel A. Heller. The network helps show where Daniel A. Heller may publish in the future.

Co-authorship network of co-authors of Daniel A. Heller

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

All Works

20 of 20 papers shown
1.
Silberman, Pedro C., et al.. (2025). Microenvironment actuated CAR T cells improve solid tumor efficacy without toxicity. Science Advances. 11(4). eads3403–eads3403. 6 indexed citations
2.
Manzari, Mandana T., Xufen Yu, Quincey LaPlant, et al.. (2025). Tumor microenvironment–targeted PROTAC nanoparticle self-assembly broadly predicted by structural descriptors. Science Advances. 11(49). eadu2292–eadu2292.
3.
Kolb, Annie, Kathleen McCortney, Craig Horbinski, et al.. (2025). Machine perception liquid biopsy identifies brain tumours via systemic immune and tumour microenvironment signature. Nature Nanotechnology. 21(2). 277–287. 1 indexed citations
4.
Heller, Daniel A., et al.. (2025). Calcific periarthritis of the hand successfully treated with ultrasound-guided barbotage: A case report. Radiology Case Reports. 20(8). 4087–4091.
5.
Chen, Chen, Scott A. McPhee, Tong Wang, et al.. (2025). Directed discovery of high-loading nanoaggregates enabled by drug-matched oligo-peptide excipients. Chem. 11(6). 102404–102404. 3 indexed citations
7.
Kim, Mijin, et al.. (2024). Author Correction: Human and environmental safety of carbon nanotubes across their life cycle. Nature Reviews Materials. 9(5). 374–374. 1 indexed citations
8.
Larney, Benedict Mc, Ali Yasin Sonay, Sébastien Monette, et al.. (2024). A pan-cancer dye for solid-tumour screening, resection and wound monitoring via short-wave and near-infrared fluorescence imaging. Nature Biomedical Engineering. 8(9). 1092–1108. 10 indexed citations
9.
Yaari, Zvi, Ron Feiner, Arnaud Da Cruz Paula, et al.. (2024). Uterine washings as a novel method for early detection of ovarian cancer: Trials and tribulations. Gynecologic Oncology Reports. 51. 101330–101330. 2 indexed citations
10.
Kim, Mijin, et al.. (2023). Human and environmental safety of carbon nanotubes across their life cycle. Nature Reviews Materials. 9(1). 63–81. 62 indexed citations
11.
Chen, Chen, et al.. (2022). Merging data curation and machine learning to improve nanomedicines. Advanced Drug Delivery Reviews. 183. 114172–114172. 65 indexed citations
12.
Kim, Mijin, Chen Chen, Peng Wang, et al.. (2022). Detection of ovarian cancer via the spectral fingerprinting of quantum-defect-modified carbon nanotubes in serum by machine learning. Nature Biomedical Engineering. 6(3). 267–275. 127 indexed citations breakdown →
13.
Williams, Ryan M., Shi Chen, Thomas Vito Galassi, et al.. (2021). Harnessing nanotechnology to expand the toolbox of chemical biology. Nature Chemical Biology. 17(2). 129–137. 28 indexed citations
14.
Yaari, Zvi, Hanan Baker, Rune Frederiksen, et al.. (2020). Nanoreporter of an Enzymatic Suicide Inactivation Pathway. Nano Letters. 20(11). 7819–7827. 26 indexed citations
15.
Han, Sang Jun, Ryan M. Williams, Vivette D. D’Agati, et al.. (2020). Selective nanoparticle-mediated targeting of renal tubular Toll-like receptor 9 attenuates ischemic acute kidney injury. Kidney International. 98(1). 76–87. 78 indexed citations
16.
Lee, Michael A., Carlos M. Duarte, Vı́ctor M. Eguı́luz, et al.. (2019). Can Fish and Cell Phones Teach Us about Our Health?. ACS Sensors. 4(10). 2566–2570. 3 indexed citations
17.
Galassi, Thomas Vito, Prakrit V. Jena, Janki Shah, et al.. (2018). An optical nanoreporter of endolysosomal lipid accumulation reveals enduring effects of diet on hepatic macrophages in vivo. Science Translational Medicine. 10(461). 89 indexed citations
18.
19.
Lewis, Ernest K., Freddy T. Nguyen, Daniel A. Heller, et al.. (2005). Color-blind fluorescence detection for four-color DNA sequencing. Proceedings of the National Academy of Sciences. 102(15). 5346–5351. 30 indexed citations
20.
Heller, Daniel A., et al.. (2004). Patterned networks of mouse hippocampal neurons on peptide-coated gold surfaces. Biomaterials. 26(8). 883–889. 53 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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