Jeremy W. Chambers

1.5k total citations
36 papers, 1.2k citations indexed

About

Jeremy W. Chambers is a scholar working on Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jeremy W. Chambers has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Epidemiology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jeremy W. Chambers's work include Cell death mechanisms and regulation (6 papers), Melanoma and MAPK Pathways (5 papers) and Trypanosoma species research and implications (5 papers). Jeremy W. Chambers is often cited by papers focused on Cell death mechanisms and regulation (6 papers), Melanoma and MAPK Pathways (5 papers) and Trypanosoma species research and implications (5 papers). Jeremy W. Chambers collaborates with scholars based in United States, Italy and China. Jeremy W. Chambers's co-authors include Philip V. LoGrasso, James C. Alwine, Tobi G. Maguire, Shannon Howard, James C. Morris, Meredith T. Morris, Alok S. Pachori, Sarah Iqbal, Donald G. Phinney and Veena Krishnappa and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Virology.

In The Last Decade

Jeremy W. Chambers

34 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeremy W. Chambers United States 18 650 270 138 114 95 36 1.2k
Émilie Hollville United States 14 607 0.9× 262 1.0× 120 0.9× 96 0.8× 120 1.3× 20 1.0k
Elena Lomonosova United States 20 595 0.9× 378 1.4× 135 1.0× 95 0.8× 158 1.7× 42 1.2k
Martin Houweling Netherlands 29 1.2k 1.9× 458 1.7× 101 0.7× 125 1.1× 150 1.6× 62 2.2k
Aarne Fleischer Spain 19 625 1.0× 147 0.5× 108 0.8× 67 0.6× 80 0.8× 32 1.1k
Jolanta Vidugirienė United States 19 1.2k 1.8× 277 1.0× 152 1.1× 110 1.0× 125 1.3× 40 1.8k
Bruce A. Posner United States 24 1.1k 1.8× 475 1.8× 192 1.4× 246 2.2× 190 2.0× 61 2.0k
Isabelle Fellay Switzerland 8 863 1.3× 192 0.7× 194 1.4× 110 1.0× 200 2.1× 12 1.2k
LeeAnn Higgins United States 23 773 1.2× 165 0.6× 154 1.1× 75 0.7× 156 1.6× 39 1.4k
Aisha Shamas‐Din Canada 13 1.5k 2.3× 229 0.8× 226 1.6× 211 1.9× 220 2.3× 17 1.9k
Hassan Dihazi Germany 24 847 1.3× 127 0.5× 194 1.4× 89 0.8× 118 1.2× 85 1.8k

Countries citing papers authored by Jeremy W. Chambers

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy W. Chambers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeremy W. Chambers. 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 Jeremy W. Chambers. The network helps show where Jeremy W. Chambers may publish in the future.

Co-authorship network of co-authors of Jeremy W. Chambers

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy W. Chambers. A scholar is included among the top collaborators of Jeremy W. Chambers 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 Jeremy W. Chambers. Jeremy W. Chambers 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.
Hood, Becky, Stefan Vasile, Layton H. Smith, et al.. (2022). Novel and Structurally Diversified Bacterial DNA Gyrase Inhibitors Discovered through a Fluorescence-Based High-Throughput Screening Assay. ACS Pharmacology & Translational Science. 5(10). 932–944. 15 indexed citations
3.
Battista, Sabrina, Alyssa Garabedian, Alfredo Fusco, et al.. (2020). Identification of HMGA2 inhibitors by AlphaScreen-based ultra-high-throughput screening assays. Scientific Reports. 10(1). 18850–18850. 23 indexed citations
4.
Loth, Meredith K., Sara R. Guariglia, Diane B. Ré, et al.. (2020). A Novel Interaction of Translocator Protein 18 kDa (TSPO) with NADPH Oxidase in Microglia. Molecular Neurobiology. 57(11). 4467–4487. 25 indexed citations
5.
Wang, Wenjie, Monica Rodríguez-Silva, Arlet Acanda de la Rocha, et al.. (2019). Tyrosyl-DNA Phosphodiesterase 1 and Topoisomerase I Activities as Predictive Indicators for Glioblastoma Susceptibility to Genotoxic Agents. Cancers. 11(10). 1416–1416. 5 indexed citations
6.
Sodero, Alejandro O., et al.. (2017). Sab is differentially expressed in the brain and affects neuronal activity. Brain Research. 1670. 76–85. 5 indexed citations
7.
Chambers, Jeremy W., et al.. (2017). Sab mediates mitochondrial dysfunction involved in imatinib mesylate-induced cardiotoxicity. Toxicology. 382. 24–35. 28 indexed citations
9.
Vanbellingen, Quentin, et al.. (2016). Analysis of Chemotherapeutic Drug Delivery at the Single Cell Level Using 3D-MSI-TOF-SIMS. Journal of the American Society for Mass Spectrometry. 27(12). 2033–2040. 44 indexed citations
10.
Chambers, Jeremy W., et al.. (2015). A rapid and sensitive high-throughput screening method to identify compounds targeting protein–nucleic acids interactions. Nucleic Acids Research. 43(8). e52–e52. 28 indexed citations
11.
Chambers, Jeremy W.. (2015). Biochemistry & Molecular Biology. 3 indexed citations
12.
Petroianu, Georg, et al.. (2014). A trivalent approach for determining in vitro toxicology: Examination of oxime K027. Journal of Applied Toxicology. 35(2). 219–227. 12 indexed citations
13.
Chambers, Jeremy W., Alok S. Pachori, Shannon Howard, Sarah Iqbal, & Philip V. LoGrasso. (2012). Inhibition of JNK Mitochondrial Localization and Signaling Is Protective against Ischemia/Reperfusion Injury in Rats. Journal of Biological Chemistry. 288(6). 4000–4011. 66 indexed citations
14.
Chambers, Jeremy W., Shannon Howard, & Philip V. LoGrasso. (2012). Blocking c-Jun N-terminal Kinase (JNK) Translocation to the Mitochondria Prevents 6-Hydroxydopamine-induced Toxicity in Vitro and in Vivo. Journal of Biological Chemistry. 288(2). 1079–1087. 61 indexed citations
15.
Chambers, Jeremy W. & Philip V. LoGrasso. (2011). Mitochondrial c-Jun N-terminal Kinase (JNK) Signaling Initiates Physiological Changes Resulting in Amplification of Reactive Oxygen Species Generation. Journal of Biological Chemistry. 286(18). 16052–16062. 156 indexed citations
16.
Chambers, Jeremy W., Alok S. Pachori, Shannon Howard, et al.. (2011). Small Molecule c-jun-N-Terminal Kinase Inhibitors Protect Dopaminergic Neurons in a Model of Parkinson’s Disease. ACS Chemical Neuroscience. 2(4). 198–206. 52 indexed citations
17.
Chambers, Jeremy W., et al.. (2010). Quercetin, a fluorescent bioflavanoid, inhibits Trypanosoma brucei hexokinase 1. Experimental Parasitology. 127(2). 423–428. 27 indexed citations
18.
Kamenecka, Ted, Rong Jiang, Xinyi Song, et al.. (2009). Synthesis, Biological Evaluation, X-ray Structure, and Pharmacokinetics of Aminopyrimidine c-jun-N-terminal Kinase (JNK) Inhibitors. Journal of Medicinal Chemistry. 53(1). 419–431. 53 indexed citations
19.
Chambers, Jeremy W., Matthew L. Fowler, Meredith T. Morris, & James C. Morris. (2008). The anti-trypanosomal agent lonidamine inhibits Trypanosoma brucei hexokinase 1. Molecular and Biochemical Parasitology. 158(2). 202–207. 44 indexed citations
20.
Chambers, Jeremy W., Meredith T. Morris, Kerry S. Smith, & James C. Morris. (2007). Residues in an ATP binding domain influence sugar binding in a trypanosome hexokinase. Biochemical and Biophysical Research Communications. 365(3). 420–425. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026