Usha MacGarvey

4.6k total citations · 4 hit papers
16 papers, 3.9k citations indexed

About

Usha MacGarvey is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biological Psychiatry. According to data from OpenAlex, Usha MacGarvey has authored 16 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 3 papers in Biological Psychiatry. Recurrent topics in Usha MacGarvey's work include Mitochondrial Function and Pathology (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuropeptides and Animal Physiology (4 papers). Usha MacGarvey is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuropeptides and Animal Physiology (4 papers). Usha MacGarvey collaborates with scholars based in United States and Italy. Usha MacGarvey's co-authors include M. Flint Beal, Patrizia Mecocci, M. Flint Beal, Allen C. Bowling, Susan Browne, Leslie A. Shinobu, Deborah Koontz, John M. Shoffner, A. Kaufman and Douglas C. Wallace and has published in prestigious journals such as Cancer Research, Analytical Biochemistry and Annals of Neurology.

In The Last Decade

Usha MacGarvey

16 papers receiving 3.8k citations

Hit Papers

Oxidative damage to mitochondrial DNA is increased in Alz... 1993 2026 2004 2015 1994 1997 1997 1993 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Usha MacGarvey United States 15 2.2k 1.1k 1.1k 852 362 16 3.9k
Allen C. Bowling United States 17 1.9k 0.8× 1.0k 0.9× 883 0.8× 1.5k 1.8× 472 1.3× 26 3.7k
Joanna B. Strosznajder Poland 36 2.4k 1.1× 1.0k 0.9× 1.9k 1.7× 494 0.6× 721 2.0× 165 4.8k
Peizhong Mao United States 24 2.4k 1.1× 1.0k 0.9× 1.9k 1.7× 396 0.5× 389 1.1× 35 4.0k
Sandra Moreno Italy 35 1.9k 0.9× 845 0.7× 1.0k 0.9× 398 0.5× 436 1.2× 80 3.6k
Shigenobu Nakamura Japan 35 2.6k 1.2× 2.5k 2.2× 1.0k 0.9× 1.7k 2.0× 421 1.2× 102 5.0k
H. Fai Poon United States 28 2.2k 1.0× 642 0.6× 2.0k 1.7× 416 0.5× 562 1.6× 43 4.1k
Robert J. Mark United States 24 1.6k 0.7× 857 0.8× 1.6k 1.4× 304 0.4× 506 1.4× 33 3.6k
Irina G. Stavrovskaya United States 26 1.7k 0.8× 1.1k 1.0× 780 0.7× 832 1.0× 621 1.7× 35 3.4k
Ikuko Miyazaki Japan 39 1.4k 0.7× 1.6k 1.4× 548 0.5× 1.2k 1.4× 808 2.2× 131 4.7k
Eugenia Trushina United States 26 2.3k 1.0× 662 0.6× 1.9k 1.7× 407 0.5× 546 1.5× 52 4.3k

Countries citing papers authored by Usha MacGarvey

Since Specialization
Citations

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

Fields of papers citing papers by Usha MacGarvey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Usha MacGarvey. 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 Usha MacGarvey. The network helps show where Usha MacGarvey may publish in the future.

Co-authorship network of co-authors of Usha MacGarvey

This figure shows the co-authorship network connecting the top 25 collaborators of Usha MacGarvey. A scholar is included among the top collaborators of Usha MacGarvey 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 Usha MacGarvey. Usha MacGarvey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Varghese, Susan, Samuel D. Rabkin, G. Petur Nielsen, et al.. (2007). Systemic Therapy of Spontaneous Prostate Cancer in Transgenic Mice with Oncolytic Herpes Simplex Viruses. Cancer Research. 67(19). 9371–9379. 42 indexed citations
2.
Mecocci, Patrizia, Giorgio Fanò, Stefania Fulle, et al.. (1999). Age-dependent increases in oxidative damage to DNA, lipids, and proteins in human skeletal muscle. Free Radical Biology and Medicine. 26(3-4). 303–308. 391 indexed citations
3.
Klivènyi, Péter, Russell T. Matthews, Marieke J.H. Wermer, et al.. (1998). Azulenyl Nitrone Spin Traps Protect against MPTP Neurotoxicity. Experimental Neurology. 152(1). 163–166. 19 indexed citations
4.
Ferrante, Robert J., Susan Browne, Leslie A. Shinobu, et al.. (1997). Evidence of Increased Oxidative Damage in Both Sporadic and Familial Amyotrophic Lateral Sclerosis. Journal of Neurochemistry. 69(5). 2064–2074. 635 indexed citations breakdown →
5.
Browne, Susan, et al.. (1997). Oxidative damage and metabolic dysfunction in Huntington's disease: Selective vulnerability of the basal ganglia. Annals of Neurology. 41(5). 646–653. 691 indexed citations breakdown →
6.
Schulz, Jörg B., et al.. (1996). INVOLVEMENT OF OXIDATIVE STRESS IN 3-NITROPROPIONIC ACID NEUROTOXICITY. Neurochemistry International. 29(2). 167–171. 126 indexed citations
7.
Mecocci, Patrizia, Usha MacGarvey, & M. Flint Beal. (1994). Oxidative damage to mitochondrial DNA is increased in Alzheimer's disease. Annals of Neurology. 36(5). 747–751. 863 indexed citations breakdown →
8.
Mecocci, Patrizia, Usha MacGarvey, A. Kaufman, et al.. (1993). Oxidative damage to mitochondrial DNA shows marked age‐dependent increases in human brain. Annals of Neurology. 34(4). 609–616. 615 indexed citations breakdown →
9.
Vécsei, László, Joanne M. Miller, Usha MacGarvey, & M. Flint Beal. (1992). Kynurenine and probenecid inhibit pentylenetetrazol- and NMDLA-induced seizures and increase kynurenic acid concentrations in the brain. Brain Research Bulletin. 28(2). 233–238. 100 indexed citations
10.
Miller, Joanne M., Usha MacGarvey, & M. Flint Beal. (1992). The effect of peripheral loading with kynurenine and probenecid on extracellular striatal kynurenic acid concentrations. Neuroscience Letters. 146(1). 115–118. 44 indexed citations
11.
Swartz, Kenton J., Wayne R. Matson, Usha MacGarvey, Elizabeth A. Ryan, & M. Flint Beal. (1990). Measurement of kynurenic acid in mammalian brain extracts and cerebrospinal fluid by high-performance liquid chromatography with fluorometric and coulometric electrode array detection. Analytical Biochemistry. 185(2). 363–376. 115 indexed citations
12.
Beal, M. Flint, Usha MacGarvey, & Kenton J. Swartz. (1990). Galanin immunoreactivity is increased in the nucleus basalis of meynert in Alzheimer's disease. Annals of Neurology. 28(2). 157–161. 98 indexed citations
13.
Gabriel, Steven M., et al.. (1988). Distribution of galanin-like immunoreactivity in baboon brain. Peptides. 9(4). 847–851. 34 indexed citations
14.
Gabriel, Steven M., Usha MacGarvey, James I. Koenig, et al.. (1988). Characterization of galanin-like immunoreactivity in the rat brain: Effects of neonatal glutamate treatment. Neuroscience Letters. 87(1-2). 114–120. 33 indexed citations
15.
Beal, M. Flint, Ross A. Clevens, Geetinder K. Chattha, et al.. (1988). Galanin‐Like Immunoreactivity Is Unchanged in Alzheimer's Disease and Parkinson's Disease Dementia Cerebral Cortex. Journal of Neurochemistry. 51(6). 1935–1941. 39 indexed citations
16.
Ehrlich, H. Paul, et al.. (1987). Ibuprofen as an antagonist of inhibitors of fibrinolysis in wound fluid. Thrombosis Research. 45(1). 17–28. 7 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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