Peter C. Lamar

1.9k total citations
38 papers, 1.4k citations indexed

About

Peter C. Lamar is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology and Nephrology. According to data from OpenAlex, Peter C. Lamar has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health, Toxicology and Mutagenesis, 13 papers in Molecular Biology and 9 papers in Nephrology. Recurrent topics in Peter C. Lamar's work include Heavy Metal Exposure and Toxicity (14 papers), Wnt/β-catenin signaling in development and cancer (9 papers) and Antimicrobial Resistance in Staphylococcus (8 papers). Peter C. Lamar is often cited by papers focused on Heavy Metal Exposure and Toxicity (14 papers), Wnt/β-catenin signaling in development and cancer (9 papers) and Antimicrobial Resistance in Staphylococcus (8 papers). Peter C. Lamar collaborates with scholars based in United States, United Kingdom and Australia. Peter C. Lamar's co-authors include Walter C. Prozialeck, Joshua Edwards, Vishal S. Vaidya, Joseph V. Bonventre, Denah M. Appelt, Sean M. Lynch, Michael P. Waalkes, A. Bernard, Xavier Dumont and Jian Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Kidney International and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Peter C. Lamar

38 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter C. Lamar United States 23 508 350 263 223 183 38 1.4k
Sun-Young Ahn United States 18 112 0.2× 442 1.3× 80 0.3× 169 0.8× 72 0.4× 46 1.5k
Davorka Breljak Croatia 21 258 0.5× 618 1.8× 282 1.1× 162 0.7× 122 0.7× 49 1.7k
Qingyue Han China 22 353 0.7× 572 1.6× 580 2.2× 51 0.2× 74 0.4× 42 1.5k
Victoria Ramírez Mexico 21 118 0.2× 696 2.0× 196 0.7× 957 4.3× 117 0.6× 48 2.5k
Qingyue Yang China 18 388 0.8× 406 1.2× 195 0.7× 31 0.1× 58 0.3× 24 1.2k
Yuan‐Qiang Lu China 23 129 0.3× 420 1.2× 98 0.4× 47 0.2× 58 0.3× 97 1.4k
F W Beck United States 17 119 0.2× 226 0.6× 434 1.7× 54 0.2× 82 0.4× 26 1.1k
Filiz Hıncal Türkiye 24 808 1.6× 331 0.9× 389 1.5× 44 0.2× 114 0.6× 52 1.8k
Azza A. K. El‐Sheikh Egypt 22 56 0.1× 447 1.3× 100 0.4× 109 0.5× 132 0.7× 77 1.8k

Countries citing papers authored by Peter C. Lamar

Since Specialization
Citations

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

Fields of papers citing papers by Peter C. Lamar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter C. Lamar. 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 Peter C. Lamar. The network helps show where Peter C. Lamar may publish in the future.

Co-authorship network of co-authors of Peter C. Lamar

This figure shows the co-authorship network connecting the top 25 collaborators of Peter C. Lamar. A scholar is included among the top collaborators of Peter C. Lamar 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 Peter C. Lamar. Peter C. Lamar 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.
Scheetz, Marc H., Gwendolyn Pais, Thomas P. Lodise, et al.. (2021). Of Rats and Men: a Translational Model To Understand Vancomycin Pharmacokinetic/Toxicodynamic Relationships. Antimicrobial Agents and Chemotherapy. 65(10). e0106021–e0106021. 10 indexed citations
2.
Avedissian, Sean N., Gwendolyn Pais, Jiajun Liu, et al.. (2020). The Pharmacodynamic-Toxicodynamic Relationship of AUC and C max in Vancomycin-Induced Kidney Injury in an Animal Model. Antimicrobial Agents and Chemotherapy. 65(3). 15 indexed citations
3.
Mason, Dan, et al.. (2019). Genistein diet improves body weight, serum glucose and triglyceride levels in both male and female ob/ob mice. SHILAP Revista de lepidopterología. 2 indexed citations
4.
Lamar, Peter C., et al.. (2019). <p>Genistein diet improves body weight, serum glucose and triglyceride levels in both male and female ob/ob mice</p>. Diabetes Metabolic Syndrome and Obesity. Volume 12. 2011–2021. 26 indexed citations
5.
Prozialeck, Walter C., Peter C. Lamar, & Joshua Edwards. (2016). Effects of sub-chronic Cd exposure on levels of copper, selenium, zinc, iron and other essential metals in rat renal cortex. Toxicology Reports. 3. 740–746. 16 indexed citations
6.
Prozialeck, Walter C., et al.. (2015). Evaluation of cystatin C as an early biomarker of cadmium nephrotoxicity in the rat. BioMetals. 29(1). 131–146. 33 indexed citations
7.
Prozialeck, Walter C., Joshua Edwards, Peter C. Lamar, et al.. (2009). Expression of kidney injury molecule-1 (Kim-1) in relation to necrosis and apoptosis during the early stages of Cd-induced proximal tubule injury. Toxicology and Applied Pharmacology. 238(3). 306–314. 97 indexed citations
8.
Leone, Marilisa, et al.. (2008). Direct antiangiogenic actions of cadmium on human vascular endothelial cells. Toxicology in Vitro. 22(3). 643–651. 39 indexed citations
9.
Prozialeck, Walter C., Vishal S. Vaidya, Jian Liu, et al.. (2007). Kidney injury molecule-1 is an early biomarker of cadmium nephrotoxicity. Kidney International. 72(8). 985–993. 170 indexed citations
10.
Chandar, Nalini, et al.. (2005). P53 and Beta-Catenin Activity during Estrogen treatment of Osteoblasts. Cancer Cell International. 5(1). 24–24. 15 indexed citations
11.
Prozialeck, Walter C., Peter C. Lamar, & Denah M. Appelt. (2004). Differential expression of E-cadherin, N-cadherin and beta-catenin in proximal and distal segments of the rat nephron.. BMC Physiology. 4(1). 10–10. 99 indexed citations
12.
Prozialeck, Walter C., Peter C. Lamar, & Sean M. Lynch. (2003). Cadmium alters the localization of N-cadherin, E-cadherin, and β-catenin in the proximal tubule epithelium. Toxicology and Applied Pharmacology. 189(3). 180–195. 96 indexed citations
13.
Lamar, Peter C., et al.. (2003). Effects of cadmium on E-cadherin and VE-cadherin in mouse lung. Life Sciences. 72(11). 1303–1320. 44 indexed citations
14.
15.
Prozialeck, Walter C. & Peter C. Lamar. (1999). Interaction of cadmium (Cd2+) with a 13-residue polypeptide analog of a putative calcium-binding motif of E-cadherin. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1451(1). 93–100. 38 indexed citations
16.
Prozialeck, Walter C. & Peter C. Lamar. (1998). Comparison of the cytotoxic effects of cadmium (Cd2+) in high and low resistance strains of MDCK cells that express different levels of E-Cadherin. Toxicology in Vitro. 12(6). 633–647. 10 indexed citations
17.
Prozialeck, Walter C. & Peter C. Lamar. (1997). Cadmium (Cd2+) disrupts E-cadherin-dependent cell-cell junctions in MDCK cells. In Vitro Cellular & Developmental Biology - Animal. 33(7). 516–526. 37 indexed citations
18.
Prozialeck, Walter C., Peter C. Lamar, & Mitsuhiko Ikura. (1996). Binding of cadmium (Cd2+) to E-CAD1, a calcium-binding polypeptide analog of E-cadherin. Life Sciences. 58(20). PL325–PL330. 15 indexed citations
19.
Prozialeck, Walter C., et al.. (1995). The cadmium-induced disruption of tight junctions in LLC-PK1 cells does not result from apoptosis. Life Sciences. 57(15). PL199–PL204. 14 indexed citations
20.
Prozialeck, Walter C. & Peter C. Lamar. (1993). Surface binding and uptake of cadmium (Cd2+) by LLC-PK1 cells on permeable membrane supports. Archives of Toxicology. 67(2). 113–119. 40 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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