Carol S. Landon

682 total citations
43 papers, 563 citations indexed

About

Carol S. Landon is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Carol S. Landon has authored 43 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 10 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Molecular Biology. Recurrent topics in Carol S. Landon's work include Metabolism and Genetic Disorders (6 papers), Diet and metabolism studies (6 papers) and Neonatal and fetal brain pathology (5 papers). Carol S. Landon is often cited by papers focused on Metabolism and Genetic Disorders (6 papers), Diet and metabolism studies (6 papers) and Neonatal and fetal brain pathology (5 papers). Carol S. Landon collaborates with scholars based in United States and United Kingdom. Carol S. Landon's co-authors include Dominic P. D’Agostino, Heather E. Held, John R. Dietz, Raffaele Pilla, Csilla Ari, Gunther Dennert, Jay B. Dean, S. J. Nazian, Michelle A. Puchowicz and Patrick Arnold and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and The FASEB Journal.

In The Last Decade

Carol S. Landon

43 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carol S. Landon United States 14 212 157 87 82 82 43 563
Christine Altmann Germany 11 140 0.7× 250 1.6× 50 0.6× 114 1.4× 76 0.9× 12 796
Ines Stölting Germany 10 301 1.4× 251 1.6× 114 1.3× 90 1.1× 34 0.4× 19 601
Taro Katsuno Japan 8 322 1.5× 194 1.2× 47 0.5× 120 1.5× 100 1.2× 9 722
Nobuyo Maeda United States 8 157 0.7× 269 1.7× 135 1.6× 130 1.6× 68 0.8× 13 779
Michael Chouinard United States 12 268 1.3× 250 1.6× 87 1.0× 38 0.5× 42 0.5× 16 753
Ibolya Rutkai United States 20 320 1.5× 411 2.6× 48 0.6× 151 1.8× 43 0.5× 41 954
Stephanie Baudler Germany 8 489 2.3× 398 2.5× 183 2.1× 54 0.7× 99 1.2× 11 998
Malcolm E. Meistrell United States 9 160 0.8× 315 2.0× 35 0.4× 26 0.3× 171 2.1× 11 871
Wael Eldahshan United States 14 76 0.4× 243 1.5× 58 0.7× 189 2.3× 77 0.9× 18 752
Ryo Shibata Japan 12 165 0.8× 134 0.9× 91 1.0× 148 1.8× 26 0.3× 38 626

Countries citing papers authored by Carol S. Landon

Since Specialization
Citations

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

Fields of papers citing papers by Carol S. Landon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol S. Landon. 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 Carol S. Landon. The network helps show where Carol S. Landon may publish in the future.

Co-authorship network of co-authors of Carol S. Landon

This figure shows the co-authorship network connecting the top 25 collaborators of Carol S. Landon. A scholar is included among the top collaborators of Carol S. Landon 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 Carol S. Landon. Carol S. Landon 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.
Rogers, Christopher Q., Melissa Ramirez, Carol S. Landon, et al.. (2023). A Glutamate Scavenging Protocol Combined with Deanna Protocol in SOD1-G93A Mouse Model of ALS. Nutrients. 15(8). 1821–1821. 4 indexed citations
2.
Posada–Quintero, Hugo F., et al.. (2022). Seizures Caused by Exposure to Hyperbaric Oxygen in Rats Can Be Predicted by Early Changes in Electrodermal Activity. Frontiers in Physiology. 12. 767386–767386. 6 indexed citations
3.
Held, Heather E., et al.. (2014). Female rats are more susceptible to central nervous system oxygen toxicity than male rats. Physiological Reports. 2(4). e00282–e00282. 11 indexed citations
5.
Pilla, Raffaele, Carol S. Landon, & Jay B. Dean. (2013). A potential early physiological marker for CNS oxygen toxicity: hyperoxic hyperpnea precedes seizure in unanesthetized rats breathing hyperbaric oxygen. Journal of Applied Physiology. 114(8). 1009–1020. 21 indexed citations
6.
Pilla, Raffaele, Heather E. Held, Carol S. Landon, & Jay B. Dean. (2013). High doses of pseudoephedrine hydrochloride accelerate onset of CNS oxygen toxicity seizures in unanesthetized rats. Neuroscience. 246. 391–396. 7 indexed citations
8.
D’Agostino, Dominic P., Raffaele Pilla, Heather E. Held, et al.. (2012). Development, testing and therapeutic applications of ketone esters (KE) for CNS oxygen toxicity (CNS‐OT); i.e., hyperbaric oxygen (HBO2)‐induced seizures. The FASEB Journal. 26(S1). 3 indexed citations
9.
Dean, Jay B., et al.. (2008). Superoxide Production Increases in Nucleus Tractus Solitarius (NTS) Neurons in Rat Brain Slices during Acute Normobaric Hyperoxia and Hypoxia. Journal of Bioresource Management. 2 indexed citations
10.
Leong, Patrick K. K., et al.. (2006). Phenol injury-induced hypertension stimulates proximal tubule Na+/H+ exchanger activity. American Journal of Physiology-Renal Physiology. 290(6). F1543–F1550. 10 indexed citations
11.
Dietz, John R., Carol S. Landon, S. J. Nazian, David L. Vesely, & William R. Gower. (2004). Effects of Cardiac Hormones on Arterial Pressure and Sodium Excretion in NPRAKnockout Mice. Experimental Biology and Medicine. 229(8). 813–818. 6 indexed citations
12.
Nazian, S. J., et al.. (2000). Increased Bioactivity of Rat Atrial Extracts: Relation to Aging and Blood Pressure Regulation. The Journals of Gerontology Series A. 55(8). B390–B395. 3 indexed citations
13.
Nazian, S. J., Carol S. Landon, & John R. Dietz. (1998). Alterations in the Opioid Control of LHRH Release From Hypothalami Isolated From Aged Male Rats. The Journals of Gerontology Series A. 53A(3). B191–B195. 2 indexed citations
14.
Nazian, S. J., et al.. (1997). Alterations in Atrial Natriuretic Peptide (ANP) Secretion and Renal Effects in Aging. The Journals of Gerontology Series A. 52A(4). B196–B202. 21 indexed citations
15.
Nazian, S. J., Carol S. Landon, Karl Muffly, & Don F. Cameron. (1994). Opioid Inhibition of Adrenergic and Dopaminergic but Not Serotonergic Stimulation of Luteinizing Hormone Releasing Hormone Release from Immortalized Hypothalamic Neurons. Molecular and Cellular Neuroscience. 5(6). 642–648. 9 indexed citations
17.
Landon, Carol S., M. Nowicki, Shunji Sugawara, & Gunther Dennert. (1990). Differential effects of protein synthesis inhibition on CTL and targets in cell-mediated cytotoxicity. Cellular Immunology. 128(2). 412–426. 14 indexed citations
18.
Dennert, Gunther, et al.. (1988). Lysis of a lung carcinoma by poly I:C-induced natural killer cells is independent of the expression of class I histocompatibility antigens.. The Journal of Immunology. 140(7). 2472–2475. 47 indexed citations
19.
Dennert, Gunther, Carol S. Landon, & Michał Nowicki. (1988). Cell-mediated and glucocorticoid-mediated target cell lysis do not appear to share common pathways. The Journal of Immunology. 141(6). 2187–2187. 6 indexed citations
20.
Dennert, Gunther, Carol S. Landon, & M. Nowicki. (1988). Cell-mediated and glucocorticoid-mediated target cell lysis do not appear to share common pathways.. The Journal of Immunology. 141(3). 785–791. 6 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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