Joseph C. LaManna

12.2k total citations
265 papers, 10.0k citations indexed

About

Joseph C. LaManna is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Joseph C. LaManna has authored 265 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Molecular Biology, 71 papers in Physiology and 59 papers in Cellular and Molecular Neuroscience. Recurrent topics in Joseph C. LaManna's work include Cancer, Hypoxia, and Metabolism (49 papers), Neuroscience and Neuropharmacology Research (45 papers) and Mitochondrial Function and Pathology (43 papers). Joseph C. LaManna is often cited by papers focused on Cancer, Hypoxia, and Metabolism (49 papers), Neuroscience and Neuropharmacology Research (45 papers) and Mitochondrial Function and Pathology (43 papers). Joseph C. LaManna collaborates with scholars based in United States, Russia and China. Joseph C. LaManna's co-authors include Juan C. Chávez, Myron Rosenthal, Paola Pichiule, Sami I. Harik, Kui Xu, W. David Lust, Michelle A. Puchowicz, Faton Agani, Frans F. Jöbsis and Thomas J. Sick and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Joseph C. LaManna

262 papers receiving 9.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph C. LaManna United States 58 3.8k 2.3k 1.9k 1.6k 1.4k 265 10.0k
Susan J. Vannucci United States 57 3.6k 1.0× 2.2k 1.0× 1.9k 1.0× 593 0.4× 1.0k 0.7× 120 11.0k
Eric T. MacKenzie France 61 3.5k 0.9× 2.1k 0.9× 3.4k 1.8× 983 0.6× 3.2k 2.3× 202 12.2k
Xiao Mao United States 53 5.5k 1.5× 1.9k 0.8× 4.5k 2.4× 1.4k 0.9× 1.1k 0.8× 125 13.6k
Valério Carelli Italy 71 12.4k 3.3× 1.2k 0.5× 1.7k 0.9× 906 0.6× 1.2k 0.8× 330 15.3k
Juan P. Bolaños Spain 57 6.0k 1.6× 3.5k 1.5× 2.5k 1.3× 802 0.5× 1.1k 0.8× 146 11.6k
Kunlin Jin United States 70 7.5k 2.0× 2.7k 1.2× 5.2k 2.8× 1.8k 1.1× 1.9k 1.4× 226 19.1k
Janet V. Passonneau United States 53 5.3k 1.4× 2.8k 1.2× 2.7k 1.4× 968 0.6× 846 0.6× 107 11.6k
Paul M. Hwang United States 44 7.3k 1.9× 5.6k 2.5× 3.8k 2.0× 1.9k 1.2× 509 0.4× 107 16.7k
Frank M. Faraci United States 75 5.1k 1.4× 7.2k 3.1× 2.3k 1.2× 412 0.3× 3.0k 2.2× 307 19.0k
Turgay Dalkara Türkiye 47 3.3k 0.9× 2.6k 1.1× 2.0k 1.1× 513 0.3× 1.8k 1.3× 158 11.5k

Countries citing papers authored by Joseph C. LaManna

Since Specialization
Citations

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

Fields of papers citing papers by Joseph C. LaManna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph C. LaManna

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph C. LaManna. A scholar is included among the top collaborators of Joseph C. LaManna 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 Joseph C. LaManna. Joseph C. LaManna 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.
Correia, Sónia C., Marco G. Alves, Pedro F. Oliveira, et al.. (2022). Hypoxic Preconditioning Averts Sporadic Alzheimer's Disease-Like Phenotype in Rats: A Focus on Mitochondria. Antioxidants and Redox Signaling. 37(10-12). 739–757. 8 indexed citations
2.
Damato, Elizabeth G., Rick Mayes, Kingman P. Strohl, et al.. (2020). Neurovascular and cortical responses to hyperoxia: enhanced cognition and electroencephalographic activity despite reduced perfusion. The Journal of Physiology. 598(18). 3941–3956. 12 indexed citations
3.
Xu, Kui, David A. Boas, Sava Sakadžić, & Joseph C. LaManna. (2017). Brain Tissue PO2 Measurement During Normoxia and Hypoxia Using Two-Photon Phosphorescence Lifetime Microscopy. Advances in experimental medicine and biology. 977. 149–153. 11 indexed citations
4.
Sun, Xiaoyan, et al.. (2013). Increased HIF-1α and HIF-2α Accumulation, but Decreased Microvascular Density, in Chronic Hyperoxia and Hypercapnia in the Mouse Cerebral Cortex. Advances in experimental medicine and biology. 789. 29–35. 13 indexed citations
6.
Liu, Ying, Kui Xu, Liming Chen, et al.. (2010). Distribution of NBCn2 (SLC4A10) splice variants in mouse brain. Neuroscience. 169(3). 951–964. 16 indexed citations
7.
Siddiq, Ambreena, Issam A. Ayoub, Juan C. Chávez, et al.. (2005). Hypoxia-inducible Factor Prolyl 4-Hydroxylase Inhibition. Journal of Biological Chemistry. 280(50). 41732–41743. 259 indexed citations
8.
Long, Yi, Xiongwei Zhu, Patrícia Rivera, et al.. (2005). Absence of cellular stress in brain after hypoxia induced by arousal from hibernation in Arctic ground squirrels. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 289(5). R1297–R1306. 117 indexed citations
9.
Zhu, Xiongwei, Mark A. Smith, George Perry, et al.. (2005). MAPKs are differentially modulated in arctic ground squirrels during hibernation. Journal of Neuroscience Research. 80(6). 862–868. 33 indexed citations
10.
Darabi, Kamruz, Alexey Y. Karulin, Bernhard O. Boehm, et al.. (2004). The Third Signal in T Cell-Mediated Autoimmune Disease?. The Journal of Immunology. 173(1). 92–99. 37 indexed citations
11.
Harik, Sami I., et al.. (1997). Ketogenic Diet and the Brain. Annals of the New York Academy of Sciences. 835(1). 218–224. 6 indexed citations
12.
LaManna, Joseph C., et al.. (1996). Decreased rat brain cytochrome oxidase activity after prolonged hypoxia. Brain Research. 720(1-2). 1–6. 31 indexed citations
13.
Kreisman, Norman R., et al.. (1995). Light transmittance as an index of cell volume in hippocampal slices: optical differences of interfaced and submerged positions. Brain Research. 693(1-2). 179–186. 49 indexed citations
14.
Selman, Warren R., Anthony J. Ricci, R. Christian Crumrine, et al.. (1990). The evolution of focal ischemic damage: A metabolic analysis. Metabolic Brain Disease. 5(1). 33–44. 23 indexed citations
15.
Crumrine, R. Christian, George Dubyak, & Joseph C. LaManna. (1990). Decreased Protein Kinase C Activity During Cerebral Ischemia and After Reperfusion in the Adult Rat. Journal of Neurochemistry. 55(6). 2001–2007. 54 indexed citations
16.
LaManna, Joseph C.. (1989). Intracellular hydrogen ion regulation in the in vitro hippocampal slice preparation.. PubMed. 582. 37–37. 1 indexed citations
17.
Harik, Sami I., et al.. (1983). Abnormalities of Cerebral Oxidative Metabolism with Aging and Their Relation to the Central Noradrenergic System. Gerontology. 29(4). 248–261. 15 indexed citations
18.
Kreisman, Norman R., Joseph C. LaManna, Myron Rosenthal, & Thomas J. Sick. (1981). Oxidative metabolic capability in vivo during recurrent seizures in rat cerebral cortex. Epilepsia. 22(2). 228–229. 2 indexed citations
19.
LaManna, Joseph C., et al.. (1980). The relative time course of early changes in mitochondrial function and intracellular pH during hypoxia in the isolated toad ventricle strip.. Circulation Research. 46(6). 755–763. 10 indexed citations
20.
Rosenthal, Myron, et al.. (1979). Oxidative metabolism, extracellular potassium and sustained potential shifts in cat spinal cord in situ. Brain Research. 162(1). 113–127. 48 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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