Daniel Scherman

29.1k total citations · 5 hit papers
418 papers, 24.2k citations indexed

About

Daniel Scherman is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Daniel Scherman has authored 418 papers receiving a total of 24.2k indexed citations (citations by other indexed papers that have themselves been cited), including 260 papers in Molecular Biology, 86 papers in Genetics and 70 papers in Biomedical Engineering. Recurrent topics in Daniel Scherman's work include RNA Interference and Gene Delivery (119 papers), Advanced biosensing and bioanalysis techniques (78 papers) and Virus-based gene therapy research (75 papers). Daniel Scherman is often cited by papers focused on RNA Interference and Gene Delivery (119 papers), Advanced biosensing and bioanalysis techniques (78 papers) and Virus-based gene therapy research (75 papers). Daniel Scherman collaborates with scholars based in France, Belgium and Israel. Daniel Scherman's co-authors include Jean‐Paul Behr, Barbara Demeneix, Frank Lezoualc’h, Otmane Boussif, Michel Bessodes, Cyrille Richard, Johanne Séguin, Thomas Maldiney, Michel F. Bureau and Virginie Escriou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Daniel Scherman

414 papers receiving 23.6k citations

Hit Papers

A versatile vector for ge... 1995 2026 2005 2015 1995 2014 1999 2007 1999 1000 2.0k 3.0k 4.0k 5.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Scherman 13.3k 4.4k 4.3k 4.3k 2.3k 418 24.2k
Ronald T. Raines 19.6k 1.5× 4.5k 1.0× 1.6k 0.4× 4.7k 1.1× 954 0.4× 456 33.4k
Philip S. Low 15.7k 1.2× 2.9k 0.7× 1.5k 0.3× 7.5k 1.7× 2.4k 1.1× 521 36.9k
Carolyn R. Bertozzi 43.3k 3.3× 4.6k 1.1× 2.1k 0.5× 5.8k 1.3× 5.2k 2.3× 501 62.3k
Ernst Wagner 25.1k 1.9× 1.6k 0.4× 10.2k 2.4× 3.6k 0.8× 2.4k 1.0× 505 31.7k
M. G. Finn 22.1k 1.7× 5.7k 1.3× 1.1k 0.2× 5.1k 1.2× 919 0.4× 274 46.6k
Glenn D. Prestwich 15.4k 1.2× 983 0.2× 3.5k 0.8× 6.6k 1.5× 2.0k 0.9× 605 38.5k
Hans Jörnvall 17.6k 1.3× 2.3k 0.5× 2.9k 0.7× 1.1k 0.3× 2.2k 1.0× 542 31.0k
Martin G. Pomper 6.0k 0.5× 2.4k 0.5× 954 0.2× 3.3k 0.8× 1.4k 0.6× 613 27.1k
Zhen Gu 13.8k 1.0× 4.8k 1.1× 1.2k 0.3× 17.7k 4.1× 5.8k 2.6× 386 39.4k
Alexander V. Kabanov 15.6k 1.2× 4.1k 0.9× 1.3k 0.3× 7.4k 1.7× 1.5k 0.7× 400 35.7k

Countries citing papers authored by Daniel Scherman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Scherman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Scherman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Scherman. A scholar is included among the top collaborators of Daniel Scherman 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 Scherman. Daniel Scherman 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
2.
Monaco, Lucía, Naohiko Aketa, Alı́cia Granados, et al.. (2024). The complexity of funding rare disease research: an IRDiRC assessment of the landscape. University of Twente Research Information. 3(4). 3 indexed citations
3.
Séguin, Johanne, Corinne Chanéac, Yohann Corvis, et al.. (2024). Chromium-doped zinc gallate: Impact of Sn4+ co-doping on the persistent luminescence properties at the nanoscale applied to bio-imaging. Chemical Engineering Journal. 490. 151643–151643. 20 indexed citations
4.
Wang, Yao, Weidong Li, Anqi Wang, et al.. (2024). In Situ Bioorthogonal Repair of the Vascular Endothelium Glycocalyx to Treat Acute Lung Injury. Small. 20(49). e2405092–e2405092. 2 indexed citations
7.
L’Ecuyer, Thomas J., Johanne Séguin, Alice Balfourier, et al.. (2022). Fate and biological impact of persistent luminescence nanoparticles after injection in mice: a one-year follow-up. Nanoscale. 14(42). 15760–15771. 30 indexed citations
8.
Bakker, Noor A. M., Renate de Boer, Corinne Marie, et al.. (2019). Small-scale GMP production of plasmid DNA using a simplified and fully disposable production method. Journal of Biotechnology. 306. 100007–100007. 13 indexed citations
9.
L’Ecuyer, Thomas J., Jeanne Volatron, Morgane Desmau, et al.. (2019). Degradation of ZnGa2O4:Cr3+ luminescent nanoparticles in lysosomal-like medium. Nanoscale. 12(3). 1967–1974. 30 indexed citations
10.
Kropp, Martina, Gabriele Thumann, Jaap van den Berg, et al.. (2017). Development of GMP-compliant production of freshly isolated and transfected iris pigment epithelial (IPE) cells to treat age-related macular degeneration (AMD). 28(12). 2 indexed citations
11.
Geevasinga, Nimeshan, Parvathi Menon, Daniel Scherman, et al.. (2016). Diagnostic criteria in amyotrophic lateral sclerosis. Neurology. 87(7). 684–690. 36 indexed citations
12.
Sharma, Surender Kumar, et al.. (2014). Optical properties and storage capabilities of AB 2 O 4 :Cr 3+ (A=Zn,Mg,B=Ga,Al). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8987. 1–89870. 1 indexed citations
13.
Bigey, Pascal, Sédami Gnidehou, Justin Doritchamou, et al.. (2011). The NTS-DBL2X Region of VAR2CSA Induces Cross-Reactive Antibodies That Inhibit Adhesion of Several Plasmodium falciparum Isolates to Chondroitin Sulfate A. The Journal of Infectious Diseases. 204(7). 1125–1133. 50 indexed citations
14.
Chabot, Guy G., et al.. (2011). Synthesis and biological evaluation of novel ferrocenyl curcuminoid derivatives. MedChemComm. 2(3). 190–195. 40 indexed citations
15.
Ni, Jing, Gaëlle Vandermeulen, Véronique Préat, et al.. (2009). Ear Pinna: A Privileged DNA Electroporation Site for Inducing Strong Th1 Immune Responses. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 2(1). 18–30. 4 indexed citations
16.
Richard, Cyrille, Virginie Escriou, Céline Largeau, et al.. (2009). 169 FORMULATION AND EVALUATION OF ATP-CONTAINING LIPOSOMES INCLUDING LACTOSYLATED ASGPR LIGAND TO ENHANCE CELLULAR ENERGY STATUS FOR HEPATIC APPLICATIONS. Journal of Hepatology. 50. S71–S71. 1 indexed citations
17.
Houssier, Marianne, William Raoul, Sophie Lavalette, et al.. (2008). CD36 Deficiency Leads to Choroidal Involution via COX2 Down-Regulation in Rodents. PLoS Medicine. 5(2). e39–e39. 67 indexed citations
18.
Wetzer, Barbara, et al.. (2001). Reducible cationic lipids for gene transfer. Biochemical Journal. 356(3). 747–747. 56 indexed citations
19.
Couraud, Pierre‐Olivier & Daniel Scherman. (1996). Biology and physiology of the blood-brain barrier : transport, cellular interactions, and brain pathologies. Plenum Press eBooks. 7 indexed citations
20.
Scherman, Daniel, et al.. (1979). [Effect of transmembrane potential on noradrenaline transport in chromaffin granules].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 289(13). 911–4. 1 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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