John A. Heyman

5.7k total citations · 3 hit papers
30 papers, 4.2k citations indexed

About

John A. Heyman is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, John A. Heyman has authored 30 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Biomedical Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in John A. Heyman's work include Innovative Microfluidic and Catalytic Techniques Innovation (14 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers) and Electrowetting and Microfluidic Technologies (5 papers). John A. Heyman is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (14 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers) and Electrowetting and Microfluidic Technologies (5 papers). John A. Heyman collaborates with scholars based in United States, China and Switzerland. John A. Heyman's co-authors include David A. Weitz, Assaf Rotem, Mira Guo, Linas Mažutis, W. Lloyd Ung, John Gilbert, Andrew D. Griffiths, Suresh Subramani, James P. Hoeffler and Rainer Haag and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

John A. Heyman

29 papers receiving 4.2k citations

Hit Papers

Single-cell analysis and sorting using droplet... 2002 2026 2010 2018 2013 2012 2002 250 500 750 1000

Peers

John A. Heyman
Soo‐Ik Chang South Korea
Gregory A. Weiss United States
Seonghoon Kim South Korea
Jeremy J. Agresti United States
John A. Heyman
Citations per year, relative to John A. Heyman John A. Heyman (= 1×) peers Sebastian J. Maerkl

Countries citing papers authored by John A. Heyman

Since Specialization
Citations

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

Fields of papers citing papers by John A. Heyman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John A. Heyman

This figure shows the co-authorship network connecting the top 25 collaborators of John A. Heyman. A scholar is included among the top collaborators of John A. Heyman 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 John A. Heyman. John A. Heyman 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.
Heyman, John A., et al.. (2025). A biocompatible surfactant film for stable microfluidic droplets. Lab on a Chip. 25(20). 5141–5149.
2.
Xiao, Yi, Qiaoling Huang, Zachary Niziolek, et al.. (2023). The Rapid Generation of Cell-Laden, FACS-Compatible Collagen Gels. SHILAP Revista de lepidopterología. 2(4). 204–217. 2 indexed citations
3.
Berger, Simon, Stavros Stavrakis, John A. Heyman, et al.. (2022). High-throughput single-cell antibody secretion quantification and enrichment using droplet microfluidics-based FRET assay. iScience. 25(7). 104515–104515. 29 indexed citations
4.
Zheng, Wenshan, Abhishek Kumar Singh, Yong Hou, et al.. (2021). Linear triglycerol-based fluorosurfactants show high potential for droplet-microfluidics-based biochemical assays. Soft Matter. 17(31). 7260–7267. 11 indexed citations
5.
Zheng, Wenshan, Shalini Kumari, John A. Heyman, et al.. (2019). Dendronized fluorosurfactant for highly stable water-in-fluorinated oil emulsions with minimal inter-droplet transfer of small molecules. Nature Communications. 10(1). 4546–4546. 116 indexed citations
6.
Cao, Ting, Yongcheng Wang, Ye Tao, et al.. (2019). DNAzyme-powered nucleic acid release from solid supports. Chemical Communications. 56(4). 647–650. 3 indexed citations
7.
He, Ronglin, Ruihua Ding, John A. Heyman, Dongyuan Zhang, & Ran Tu. (2019). Ultra-high-throughput picoliter-droplet microfluidics screening of the industrial cellulase-producing filamentous fungus Trichoderma reesei. Journal of Industrial Microbiology & Biotechnology. 46(11). 1603–1610. 46 indexed citations
8.
Cao, Ting, Yongcheng Wang, Lingli Zhao, et al.. (2019). A simple mix-and-read bacteria detection system based on a DNAzyme and a molecular beacon. Chemical Communications. 55(51). 7358–7361. 23 indexed citations
9.
Ding, Ruihua, W. Lloyd Ung, John A. Heyman, & David A. Weitz. (2017). Sensitive and predictable separation of microfluidic droplets by size using in-line passive filter. Biomicrofluidics. 11(1). 14114–14114. 16 indexed citations
10.
Abbaspourrad, Alireza, Huidan Zhang, Ye Tao, et al.. (2015). Label-free single-cell protein quantification using a drop-based mix-and-read system. Scientific Reports. 5(1). 12756–12756. 23 indexed citations
11.
Yunker, Peter J., Haruichi Asahara, Laura R. Arriaga, et al.. (2015). One-pot system for synthesis, assembly, and display of functional single-span membrane proteins on oil–water interfaces. Proceedings of the National Academy of Sciences. 113(3). 608–613. 10 indexed citations
12.
Guo, Mira, Assaf Rotem, John A. Heyman, & David A. Weitz. (2012). Droplet microfluidics for high-throughput biological assays. Lab on a Chip. 12(12). 2146–2146. 831 indexed citations breakdown →
13.
Steinhilber, Dirk, Sebastian Seiffert, John A. Heyman, et al.. (2010). Hyperbranched polyglycerols on the nanometer and micrometer scale. Biomaterials. 32(5). 1311–1316. 92 indexed citations
14.
Kumar, Anuj, Seema Agarwal, John A. Heyman, et al.. (2002). Subcellular localization of the yeast proteome. Genes & Development. 16(6). 707–719. 597 indexed citations breakdown →
15.
Posas, Francesc, James R. Chambers, John A. Heyman, et al.. (2000). The Transcriptional Response of Yeast to Saline Stress. Journal of Biological Chemistry. 275(23). 17249–17255. 350 indexed citations
16.
Nasoff, Marc, et al.. (2000). [31] High-throughput expression of fusion proteins. Methods in enzymology on CD-ROM/Methods in enzymology. 328. 515–529. 9 indexed citations
17.
Heyman, John A., et al.. (1999). Genome-Scale Cloning and Expression of Individual Open Reading Frames Using Topoisomerase I-Mediated Ligation. Genome Research. 9(4). 383–392. 42 indexed citations
18.
Faber, Klaas Nico, Ype Elgersma, John A. Heyman, et al.. (1998). Use of Pichia pastoris as a Model Eukaryotic System. Methods in molecular biology. 103. 121–147. 21 indexed citations
19.
Monosov, Edward, Thibaut J. Wenzel, Georg H. Lüers, John A. Heyman, & Suresh Subramani. (1996). Labeling of peroxisomes with green fluorescent protein in living P. pastoris cells.. Journal of Histochemistry & Cytochemistry. 44(6). 581–589. 92 indexed citations
20.
Gould, Stephen J., et al.. (1992). Development of the yeast Pichia pastoris as a model organism for a genetic and molecular analysis of peroxisome assembly. Yeast. 8(8). 613–628. 190 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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