David Margulies

2.6k total citations
42 papers, 2.2k citations indexed

About

David Margulies is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, David Margulies has authored 42 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 22 papers in Spectroscopy and 9 papers in Organic Chemistry. Recurrent topics in David Margulies's work include Advanced biosensing and bioanalysis techniques (27 papers), Molecular Sensors and Ion Detection (22 papers) and Click Chemistry and Applications (9 papers). David Margulies is often cited by papers focused on Advanced biosensing and bioanalysis techniques (27 papers), Molecular Sensors and Ion Detection (22 papers) and Click Chemistry and Applications (9 papers). David Margulies collaborates with scholars based in Israel, United States and Netherlands. David Margulies's co-authors include Galina Melman, Abraham Shanzer, Leila Motiei, Clifford E. Felder, Andrew D. Hamilton, Bhimsen Rout, Joydev Hatai, Mark A. Iron, Karuthapandi Selvakumar and Tal Ilani and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

David Margulies

41 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Margulies Israel 22 1.3k 1.0k 838 411 366 42 2.2k
Na Shao China 23 1.3k 1.0× 984 0.9× 1.6k 1.9× 290 0.7× 535 1.5× 46 2.8k
Nayoung Park South Korea 13 794 0.6× 1.1k 1.0× 1.0k 1.2× 147 0.4× 576 1.6× 27 2.2k
Subhajit Bandyopadhyay India 27 597 0.5× 735 0.7× 1.2k 1.4× 413 1.0× 155 0.4× 93 2.1k
Leila Motiei Israel 24 691 0.5× 408 0.4× 584 0.7× 482 1.2× 388 1.1× 46 1.6k
Yuichiro Koide Japan 13 671 0.5× 1.2k 1.1× 1.1k 1.4× 108 0.3× 634 1.7× 14 2.4k
Gérard Mathis France 26 1.3k 1.0× 361 0.3× 1.2k 1.4× 144 0.4× 235 0.6× 51 2.7k
Yong Woong Jun South Korea 24 594 0.5× 853 0.8× 753 0.9× 129 0.3× 450 1.2× 63 1.8k
Ji Young Hyun South Korea 16 751 0.6× 884 0.8× 697 0.8× 153 0.4× 431 1.2× 35 2.0k
Duanting Zhai Singapore 11 489 0.4× 513 0.5× 672 0.8× 134 0.3× 302 0.8× 15 1.3k
Volker Leen Belgium 26 799 0.6× 2.0k 1.9× 3.3k 3.9× 539 1.3× 1.1k 3.0× 49 4.0k

Countries citing papers authored by David Margulies

Since Specialization
Citations

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

Fields of papers citing papers by David Margulies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Margulies. 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 David Margulies. The network helps show where David Margulies may publish in the future.

Co-authorship network of co-authors of David Margulies

This figure shows the co-authorship network connecting the top 25 collaborators of David Margulies. A scholar is included among the top collaborators of David Margulies 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 David Margulies. David Margulies 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.
Avram, Liat, et al.. (2024). Unnatural enzyme activation by a metal-responsive regulatory protein. Chemical Science. 15(35). 14209–14217.
2.
Motiei, Leila & David Margulies. (2023). Molecules that Generate Fingerprints: A New Class of Fluorescent Sensors for Chemical Biology, Medical Diagnosis, and Cryptography. Accounts of Chemical Research. 56(13). 1803–1814. 24 indexed citations
3.
Weinstein, Jonathan J., Carlos Martí‐Gómez, Rosalie Lipsh‐Sokolik, et al.. (2023). Designed active-site library reveals thousands of functional GFP variants. Nature Communications. 14(1). 2890–2890. 16 indexed citations
4.
Prasad, Pragati K., Inna Goliand, Roni Oren, et al.. (2023). Chemically programmable bacterial probes for the recognition of cell surface proteins. Materials Today Bio. 20. 100669–100669. 3 indexed citations
5.
Porat, Ziv, et al.. (2023). Artificial Protein Crosstalk with a Molecule that Exchanges Binding Partners. Angewandte Chemie International Edition. 63(7). e202312461–e202312461. 3 indexed citations
6.
Prasad, Pragati K., Leila Motiei, & David Margulies. (2023). Applications of Bacteria Decorated with Synthetic DNA Constructs. Small. 19(13). e2206136–e2206136. 1 indexed citations
7.
Motiei, Leila, et al.. (2023). Fluorescent Investigation of Proteins Using DNA-Synthetic Ligand Conjugates. Bioconjugate Chemistry. 34(9). 1509–1522. 2 indexed citations
8.
Hatai, Joydev, Yiğit Altay, Armin Kiani, et al.. (2022). An Optical Probe for Real-Time Monitoring of Self-Replicator Emergence and Distinguishing between Replicators. Journal of the American Chemical Society. 144(7). 3074–3082. 8 indexed citations
9.
Motiei, Leila, et al.. (2021). Fluorescent Labelling of Cell Surface Proteins on a Solid Support. Israel Journal of Chemistry. 61(3-4). 239–243. 1 indexed citations
10.
Motiei, Leila, et al.. (2021). Broad Applications of Thiazole Orange in Fluorescent Sensing of Biomolecules and Ions. Molecules. 26(9). 2828–2828. 49 indexed citations
11.
Hatai, Joydev, Pragati K. Prasad, Tamar Unger, et al.. (2020). Assessing changes in the expression levels of cell surface proteins with a turn-on fluorescent molecular probe. Chemical Communications. 57(15). 1875–1878. 9 indexed citations
12.
Rabinkov, Aharon, et al.. (2020). Glycoform Differentiation by a Targeted, Self-Assembled, Pattern-Generating Protein Surface Sensor. Journal of the American Chemical Society. 142(37). 15790–15798. 20 indexed citations
13.
Prasad, Pragati K., et al.. (2020). Encrypting messages with artificial bacterial receptors. Beilstein Journal of Organic Chemistry. 16. 2749–2756. 4 indexed citations
14.
Prasad, Pragati K., Tali Dadosh, Tamar Unger, et al.. (2020). Decorating bacteria with self-assembled synthetic receptors. Nature Communications. 11(1). 1299–1299. 37 indexed citations
15.
Carmieli, Raanan, et al.. (2018). A Molecular Secret Sharing Scheme. Angewandte Chemie. 131(1). 190–194. 3 indexed citations
16.
Carmieli, Raanan, et al.. (2018). A Molecular Secret Sharing Scheme. Angewandte Chemie International Edition. 58(1). 184–188. 33 indexed citations
17.
Georgeson, Joseph M., Tal Ilani, Vladimir Kiss, et al.. (2017). Protein recognition by a pattern-generating fluorescent molecular probe. Nature Nanotechnology. 12(12). 1161–1168. 110 indexed citations
18.
Hatai, Joydev, Leila Motiei, & David Margulies. (2017). Analyzing Amyloid Beta Aggregates with a Combinatorial Fluorescent Molecular Sensor. Journal of the American Chemical Society. 139(6). 2136–2139. 125 indexed citations
19.
Sarkar, Tanmay, Karuthapandi Selvakumar, Leila Motiei, & David Margulies. (2016). Message in a molecule. Nature Communications. 7(1). 11374–11374. 109 indexed citations
20.
Rabinkov, Aharon, et al.. (2015). Sensing Protein Surfaces with Targeted Fluorescent Receptors. Chemistry - A European Journal. 21(45). 15873–15873. 9 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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