Adonis Stassinopoulos

1.5k total citations
47 papers, 1.1k citations indexed

About

Adonis Stassinopoulos is a scholar working on Hematology, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Adonis Stassinopoulos has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hematology, 11 papers in Infectious Diseases and 10 papers in Organic Chemistry. Recurrent topics in Adonis Stassinopoulos's work include Blood groups and transfusion (11 papers), Blood transfusion and management (9 papers) and Cyclization and Aryne Chemistry (8 papers). Adonis Stassinopoulos is often cited by papers focused on Blood groups and transfusion (11 papers), Blood transfusion and management (9 papers) and Cyclization and Aryne Chemistry (8 papers). Adonis Stassinopoulos collaborates with scholars based in United States, French Polynesia and Canada. Adonis Stassinopoulos's co-authors include I. Goldberg, John P. Caradonna, Watson J. Lees, Christopher T. Walsh, Yen‐Ho Chu, Steven Kleinman, Marion C. Lanteri, Harendra S. Parekh, Anoop K. Pal and Siddharth Jambhrunkar and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Adonis Stassinopoulos

47 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adonis Stassinopoulos United States 21 327 177 162 160 155 47 1.1k
George D. Cimino United States 20 884 2.7× 78 0.4× 296 1.8× 211 1.3× 85 0.5× 40 1.8k
Qiyong Liu United States 17 349 1.1× 37 0.2× 57 0.4× 515 3.2× 124 0.8× 33 1.3k
Stephen J. Wagner United States 25 362 1.1× 809 4.6× 1.2k 7.2× 211 1.3× 155 1.0× 102 3.1k
H. Mohr Germany 22 329 1.0× 235 1.3× 301 1.9× 71 0.4× 115 0.7× 60 1.4k
Jeffrey R. Shuster United States 26 1.4k 4.2× 201 1.1× 12 0.1× 21 0.1× 291 1.9× 46 4.8k
Makoto Niwa Japan 25 961 2.9× 127 0.7× 13 0.1× 312 1.9× 67 0.4× 99 2.5k
Dawei Cui China 26 956 2.9× 67 0.4× 15 0.1× 89 0.6× 308 2.0× 119 2.8k
Shahper N. Khan India 22 796 2.4× 111 0.6× 23 0.1× 278 1.7× 83 0.5× 55 1.7k
Peiyu Li China 20 445 1.4× 112 0.6× 10 0.1× 316 2.0× 228 1.5× 95 1.7k
Djuro Josić United States 28 1.9k 5.7× 814 4.6× 28 0.2× 113 0.7× 43 0.3× 96 2.7k

Countries citing papers authored by Adonis Stassinopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Adonis Stassinopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adonis Stassinopoulos

This figure shows the co-authorship network connecting the top 25 collaborators of Adonis Stassinopoulos. A scholar is included among the top collaborators of Adonis Stassinopoulos 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 Adonis Stassinopoulos. Adonis Stassinopoulos 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.
Pini, Valerio, Virginia Cebrián, Andreas Thon, et al.. (2023). Novel Characterization Techniques for Multifunctional Plasmonic–Magnetic Nanoparticles in Biomedical Applications. Nanomaterials. 13(22). 2929–2929. 9 indexed citations
2.
Huang, Yan‐Jang S., et al.. (2018). Inactivation of chikungunya virus in blood components treated with amotosalen/ultraviolet A light or amustaline/glutathione. Transfusion. 58(3). 748–757. 21 indexed citations
3.
Kleinman, Steven & Adonis Stassinopoulos. (2018). Transfusion‐associated graft‐versus‐host disease reexamined: potential for improved prevention using a universally applied intervention. Transfusion. 58(11). 2545–2563. 24 indexed citations
4.
Vogel, Robert, Anoop K. Pal, Siddharth Jambhrunkar, et al.. (2017). High-Resolution Single Particle Zeta Potential Characterisation of Biological Nanoparticles using Tunable Resistive Pulse Sensing. Scientific Reports. 7(1). 17479–17479. 161 indexed citations
5.
Broult, Julien, et al.. (2017). Amustaline (S‐303) treatment inactivates high levels of Zika virus in red blood cell components. Transfusion. 57(3pt2). 779–789. 27 indexed citations
6.
Aubry, Maïté, et al.. (2017). Pathogen inactivation of Dengue virus in red blood cells using amustaline and glutathione. Transfusion. 57(12). 2888–2896. 16 indexed citations
7.
8.
9.
Chen, Peter C. Y., Wei Huang, Adonis Stassinopoulos, & Anthony Cheung. (2008). Effects of Pegylated Hamster Red Blood Cells on Microcirculation. Artificial Cells Blood Substitutes and Biotechnology. 36(4). 295–309. 2 indexed citations
10.
Sawyer, Lynette, et al.. (2007). Inactivation of parvovirus B19 in human platelet concentrates by treatment with amotosalen and ultraviolet A illumination. Transfusion. 47(6). 1062–1070. 24 indexed citations
11.
Allain, Jean‐Pierre, et al.. (2006). Quantification of Viral Inactivation by Photochemical Treatment with Amotosalen and UV A Light, Using a Novel Polymerase Chain Reaction Inhibition Method with Preamplification. The Journal of Infectious Diseases. 194(12). 1737–1744. 24 indexed citations
12.
Brockstedt, Dirk G., Keith S. Bahjat, Martin Giedlin, et al.. (2005). Killed but metabolically active microbes: a new vaccine paradigm for eliciting effector T-cell responses and protective immunity. Nature Medicine. 11(8). 853–860. 114 indexed citations
13.
14.
Conlan, Maureen G., Adonis Stassinopoulos, George Garratty, et al.. (2004). Antibody Formation to S-303-Treated RBCS in the Setting of Chronic RBC Transfusion.. Blood. 104(11). 382–382. 13 indexed citations
15.
Stassinopoulos, Adonis & I. Goldberg. (1995). Binding and cleavage characteristics of the complexes formed between the neocarzinostatin chromophore and single site containing oligonucleotides. Bioorganic & Medicinal Chemistry. 3(6). 713–721. 5 indexed citations
16.
Yang, Catherine, Adonis Stassinopoulos, & I. Goldberg. (1995). Specific Binding of the Biradical Analog of Neocarzinostatin Chromophore to Bulged DNA: Implications for Thiol-Independent Cleavage. Biochemistry. 34(7). 2267–2275. 17 indexed citations
17.
18.
Gao, Xiaolian, et al.. (1995). NMR studies of the post-activated neocarzinostatin chromophore-DNA complex. Conformational changes induced in drug and DNA. Bioorganic & Medicinal Chemistry. 3(6). 795–809. 10 indexed citations
19.
Stassinopoulos, Adonis & I. Goldberg. (1995). Probing the structure of long single-stranded DNA fragments with neocarzinostatin chromophore. Extension of the base-catalyzed bulge-specific reaction. Biochemistry. 34(46). 15359–15374. 5 indexed citations
20.
Chu, Yen‐Ho, Watson J. Lees, Adonis Stassinopoulos, & Christopher T. Walsh. (1994). Using Affinity Capillary Electrophoresis To Determine Binding Stoichiometries of Protein-Ligand Interactions. Biochemistry. 33(35). 10616–10621. 97 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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