John J. Schlager

11.4k total citations · 6 hit papers
68 papers, 9.0k citations indexed

About

John J. Schlager is a scholar working on Materials Chemistry, Molecular Biology and Plant Science. According to data from OpenAlex, John J. Schlager has authored 68 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Materials Chemistry, 19 papers in Molecular Biology and 14 papers in Plant Science. Recurrent topics in John J. Schlager's work include Nanoparticles: synthesis and applications (33 papers), Pesticide Exposure and Toxicity (13 papers) and Graphene and Nanomaterials Applications (7 papers). John J. Schlager is often cited by papers focused on Nanoparticles: synthesis and applications (33 papers), Pesticide Exposure and Toxicity (13 papers) and Graphene and Nanomaterials Applications (7 papers). John J. Schlager collaborates with scholars based in United States, Sweden and Switzerland. John J. Schlager's co-authors include Saber M. Hussain, Amanda M. Schrand, Laura K. Braydich‐Stolle, Richard C. Murdock, Marie‐Claude Hofmann, Liming Dai, Syed F. Ali, Eiji Ōsawa, Garth Powis and Mohammad Fazlur Rahman and has published in prestigious journals such as Advanced Materials, PLoS ONE and Analytical Chemistry.

In The Last Decade

John J. Schlager

68 papers receiving 8.7k citations

Hit Papers

In Vitro Cytotoxicity of Nanoparticles in Mammalian Germl... 2005 2026 2012 2019 2005 2007 2010 2006 2008 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. In Vitro Cytotoxicity of Nanoparticles in Mammalian Germline Stem Cells
    2005 947 citations Laura K. Braydich‐Stolle, Saber M. Hussain et al. Toxicological Sciences profile →
  2. Characterization of Nanomaterial Dispersion in Solution Prior to In Vitro Exposure Using Dynamic Light Scattering Technique
    2007 854 citations Richard C. Murdock, Laura K. Braydich‐Stolle et al. Toxicological Sciences profile →
  3. Metformin, Independent of AMPK, Inhibits mTORC1 in a Rag GTPase-Dependent Manner
    2010 718 citations John J. Schlager et al. profile →
  4. Are Diamond Nanoparticles Cytotoxic?
    2006 565 citations Amanda M. Schrand, John J. Schlager et al. profile →
  5. DNA damage response to different surface chemistry of silver nanoparticles in mammalian cells
    2008 562 citations Maqusood Ahamed, Michael R. Karns et al. Toxicology and Applied Pharmacology profile →
  6. Metal‐based nanoparticles and their toxicity assessment
    2010 559 citations Amanda M. Schrand, Saber M. Hussain et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John J. Schlager United States 38 5.4k 2.5k 1.8k 1.3k 1.3k 68 9.0k
Harald F. Krug Switzerland 42 4.8k 0.9× 2.9k 1.2× 1.8k 1.0× 1.5k 1.2× 1.1k 0.8× 126 9.4k
Wim H. de Jong Netherlands 43 4.4k 0.8× 2.1k 0.8× 1.2k 0.7× 1.5k 1.2× 1.6k 1.2× 140 8.8k
Nancy A. Monteiro‐Riviere United States 64 6.5k 1.2× 4.3k 1.7× 2.0k 1.1× 1.7k 1.3× 2.3k 1.7× 228 14.5k
Haiyuan Zhang China 54 5.5k 1.0× 4.3k 1.7× 2.9k 1.6× 1.0k 0.8× 2.2k 1.7× 202 11.5k
Xiang Wang China 37 5.3k 1.0× 2.4k 1.0× 922 0.5× 1.0k 0.8× 916 0.7× 106 7.8k
Amanda M. Schrand United States 26 5.4k 1.0× 2.6k 1.0× 608 0.3× 934 0.7× 1.2k 0.9× 48 7.3k
Michael Kovochich United States 18 4.2k 0.8× 2.4k 0.9× 1.4k 0.8× 1.0k 0.8× 1.9k 1.5× 34 7.4k
Agnes B. Kane United States 41 3.9k 0.7× 3.2k 1.3× 1.4k 0.8× 860 0.7× 653 0.5× 84 8.3k
Shinji Takenaka Japan 44 3.2k 0.6× 1.5k 0.6× 1.5k 0.9× 3.0k 2.3× 956 0.7× 219 9.0k
Zhaoxia Ji United States 59 8.4k 1.6× 4.8k 1.9× 2.6k 1.5× 1.6k 1.2× 2.8k 2.2× 91 14.0k

Countries citing papers authored by John J. Schlager

Since Specialization
Citations

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

Fields of papers citing papers by John J. Schlager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John J. Schlager

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Schlager. A scholar is included among the top collaborators of John J. Schlager 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 J. Schlager. John J. Schlager 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.
Chapleau, Richard R., et al.. (2015). High-Throughput Screening for Positive Allosteric Modulators Identified Potential Therapeutics against Acetylcholinesterase Inhibition. SLAS DISCOVERY. 20(9). 1142–1149. 4 indexed citations
2.
Christensen, James, Pavel Shiyanov, Justin R. Estepp, & John J. Schlager. (2014). Lack of Association between Human Plasma Oxytocin and Interpersonal Trust in a Prisoner’s Dilemma Paradigm. PLoS ONE. 9(12). e116172–e116172. 52 indexed citations
3.
Maurer, Elizabeth I., Monita Sharma, John J. Schlager, & Saber M. Hussain. (2013). Systematic analysis of silver nanoparticle ionic dissolution by tangential flow filtration: toxicological implications. Nanotoxicology. 8(7). 1–10. 40 indexed citations
4.
Trickler, William J., Bonnie Robinson, Merle G. Paule, et al.. (2013). Porcine brain microvessel endothelial cells show pro-inflammatory response to the size and composition of metallic nanoparticles. Drug Metabolism Reviews. 46(2). 224–231. 49 indexed citations
5.
Schlager, John J., et al.. (2011). Inflammatory responses of RAW 264.7 macrophages upon exposure to nanoparticles: Role of ROS-NFκB signaling pathway. Nanotoxicology. 5(4). 502–516. 181 indexed citations
6.
Gordon, Marion K., Andrea Desantis, Manjeet Deshmukh, et al.. (2010). Doxycycline Hydrogels as a Potential Therapy for Ocular Vesicant Injury. Journal of Ocular Pharmacology and Therapeutics. 26(5). 407–419. 59 indexed citations
7.
Braydich‐Stolle, Laura K., Amanda M. Schrand, Richard C. Murdock, et al.. (2010). Silver Nanoparticles Disrupt GDNF/Fyn kinase Signaling in Spermatogonial Stem Cells. Toxicological Sciences. 116(2). 577–589. 196 indexed citations
8.
Sharma, Hari Shanker, Syed F. Ali, Z. Ryan Tian, et al.. (2009). Chronic Treatment with Nanoparticles Exacerbate Hyperthermia Induced Blood-Brain Barrier Breakdown, Cognitive Dysfunction and Brain Pathology in the Rat. Neuroprotective Effects of Nanowired-Antioxidant Compound H-290/51. Journal of Nanoscience and Nanotechnology. 9(8). 5073–5090. 66 indexed citations
9.
Wang, Jianyong, Mohammed F. Rahman, Helen M. Duhart, et al.. (2009). Expression changes of dopaminergic system-related genes in PC12 cells induced by manganese, silver, or copper nanoparticles. NeuroToxicology. 30(6). 926–933. 154 indexed citations
10.
Braydich‐Stolle, Laura K., et al.. (2008). Effects of Temperature, Time, and Solution on Nanoparticle Agglomeration. Bulletin of the American Physical Society. 1 indexed citations
11.
Ahamed, Maqusood, Michael R. Karns, Michael S. Goodson, et al.. (2008). DNA damage response to different surface chemistry of silver nanoparticles in mammalian cells. Toxicology and Applied Pharmacology. 233(3). 404–410. 562 indexed citations breakdown →
12.
13.
Hussain, Saber M., et al.. (2006). The Interaction of Manganese Nanoparticles with PC-12 Cells Induces Dopamine Depletion. Toxicological Sciences. 92(2). 456–463. 337 indexed citations
14.
Braydich‐Stolle, Laura K., Saber M. Hussain, John J. Schlager, & Marie‐Claude Hofmann. (2005). In Vitro Cytotoxicity of Nanoparticles in Mammalian Germline Stem Cells. Toxicological Sciences. 88(2). 412–419. 947 indexed citations breakdown →
15.
Sabourin, Carol L., James V. Rogers, Young Wook Choi, et al.. (2005). Time- and dose-dependent analysis of gene expression using microarrays in sulfur mustard-exposed mice. Journal of Biochemical and Molecular Toxicology. 18(6). 300–312. 20 indexed citations
16.
17.
Sabourin, Carol L., et al.. (2002). Cytokine, chemokine, and matrix metalloproteinase response after sulfur mustard injury to weanling pig skin. Journal of Biochemical and Molecular Toxicology. 16(6). 263–272. 84 indexed citations
18.
Schlager, John J. & Bruce W. Hart. (2000). Stress gene activity in Hepg2 cells after sulfur mustard exposure. Journal of Applied Toxicology. 20(5). 395–405. 12 indexed citations
19.
Scott, David F., et al.. (1999). Expression and Partial Purification of a Recombinant Secretory Form of Human Liver Carboxylesterase. Protein Expression and Purification. 17(1). 16–25. 9 indexed citations
20.
Schlager, John J. & Garth Powis. (1990). Cytosolic NAD(P)H:(Quinone‐acceptor)oxidoreductase in human normal and tumor tissue: Effects of cigarette smoking and alcohol. International Journal of Cancer. 45(3). 403–409. 237 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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