Gregory M. Ross

3.0k total citations
79 papers, 2.1k citations indexed

About

Gregory M. Ross is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Gregory M. Ross has authored 79 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cellular and Molecular Neuroscience, 28 papers in Molecular Biology and 15 papers in Nutrition and Dietetics. Recurrent topics in Gregory M. Ross's work include Nerve injury and regeneration (25 papers), Neuropeptides and Animal Physiology (15 papers) and Algal biology and biofuel production (10 papers). Gregory M. Ross is often cited by papers focused on Nerve injury and regeneration (25 papers), Neuropeptides and Animal Physiology (15 papers) and Algal biology and biofuel production (10 papers). Gregory M. Ross collaborates with scholars based in Canada, United States and United Kingdom. Gregory M. Ross's co-authors include John A. Scott, Richard J. Riopelle, Igor L. Shamovsky, Joseph K. Eibl, Corey A. Laamanen, Seon H. Shin, Judith T. Cirulis, Jin H. Song, Richard J Beninger and Todor V. Gerdjikov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Medicine.

In The Last Decade

Gregory M. Ross

78 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory M. Ross Canada 28 732 691 410 342 229 79 2.1k
Michael A. Packer New Zealand 26 198 0.3× 726 1.1× 536 1.3× 425 1.2× 119 0.5× 50 2.5k
Yu Zhong China 29 377 0.5× 939 1.4× 110 0.3× 531 1.6× 200 0.9× 84 3.3k
Wanqin Zhang China 35 1.4k 1.9× 1.5k 2.1× 112 0.3× 875 2.6× 107 0.5× 129 5.6k
Huaqing Liu China 25 359 0.5× 800 1.2× 76 0.2× 299 0.9× 56 0.2× 98 2.1k
Evgeny V. Pavlov United States 38 514 0.7× 2.4k 3.5× 107 0.3× 651 1.9× 472 2.1× 96 4.2k
Ruimin Wang China 33 515 0.7× 1.3k 1.8× 86 0.2× 480 1.4× 76 0.3× 99 3.4k
Byung Woo Kim South Korea 28 108 0.1× 1.0k 1.5× 334 0.8× 154 0.5× 176 0.8× 105 2.2k
Jiwon Yang South Korea 27 251 0.3× 747 1.1× 1.0k 2.5× 70 0.2× 58 0.3× 95 2.7k
Salvatore Amoroso Italy 33 1.2k 1.6× 1.5k 2.1× 57 0.1× 468 1.4× 116 0.5× 105 3.0k
Richard M. LoPachin United States 40 803 1.1× 1.4k 2.0× 27 0.1× 563 1.6× 167 0.7× 104 5.3k

Countries citing papers authored by Gregory M. Ross

Since Specialization
Citations

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

Fields of papers citing papers by Gregory M. Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory M. Ross. 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 Gregory M. Ross. The network helps show where Gregory M. Ross may publish in the future.

Co-authorship network of co-authors of Gregory M. Ross

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory M. Ross. A scholar is included among the top collaborators of Gregory M. Ross 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 Gregory M. Ross. Gregory M. Ross 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.
Patel, Jignesh J., Ross D. Jansen‐van Vuuren, Gregory M. Ross, et al.. (2021). Directed Ortho and Remote Metalation of Naphthalene 1,8-Diamide: Complementing SEAr Reactivity for the Synthesis of Substituted Naphthalenes. Organic Letters. 23(6). 1966–1973. 5 indexed citations
3.
Scott, John A., et al.. (2015). Characterizing nerve growth factor–p75NTR interactions and small molecule inhibition using surface plasmon resonance spectroscopy. Analytical Biochemistry. 493. 21–26. 9 indexed citations
4.
Shang, Helen, et al.. (2015). Microalgae cultivation in a novel top-lit gas-lift open bioreactor. Bioresource Technology. 192. 432–440. 34 indexed citations
5.
Krol, Karmen M., et al.. (2009). The association of metal ion exposure with α-synuclein-like immunoreactivity in the central nervous system of fish, Catostomus commersoni. Aquatic Toxicology. 92(4). 258–263. 6 indexed citations
6.
Colquhoun, Amy, Joseph K. Eibl, Karmen M. Krol, Hing Man Chan, & Gregory M. Ross. (2008). Conformational analysis of the effects of methylmercury on nerve growth factor and brain derived neurotrophic factor. Environmental Toxicology and Pharmacology. 27(2). 298–302. 2 indexed citations
7.
Gerdjikov, Todor V., Gregory M. Ross, & Richard J Beninger. (2004). Place Preference Induced by Nucleus Accumbens Amphetamine Is Impaired by Antagonists of ERK or p38 MAP Kinases in Rats.. Behavioral Neuroscience. 118(4). 740–750. 108 indexed citations
9.
Fahnestock, Margaret, Guanhua Yu, Bernadeta Michalski, et al.. (2004). The nerve growth factor precursor proNGF exhibits neurotrophic activity but is less active than mature nerve growth factor. Journal of Neurochemistry. 89(3). 581–592. 148 indexed citations
10.
Hannila, Sari S., et al.. (2004). TrkA and mitogen‐activated protein kinase phosphorylation are enhanced in sympathetic neurons lacking functional p75 neurotrophin receptor expression. European Journal of Neuroscience. 19(10). 2903–2908. 21 indexed citations
12.
Ross, Gregory M., et al.. (2001). The binding of zinc and copper ions to nerve growth factor is differentially affected by pH: implications for cerebral acidosis. Journal of Neurochemistry. 78(3). 515–523. 24 indexed citations
13.
Song, Jin H., Seon H. Shin, & Gregory M. Ross. (2001). Oxidative stress induced by ascorbate causes neuronal damage in an in vitro system. Brain Research. 895(1-2). 66–72. 67 indexed citations
14.
Ross, Gregory M., et al.. (2000). Sublethal hypoxia up-regulates corticotropin releasing factor receptor type 1 in fetal hippocampal neurons. Neuroreport. 11(14). 3123–3126. 5 indexed citations
15.
Wang, Wei, et al.. (1999). Zinc and Copper inhibit nerve growth factor-mediated protection from oxidative stress-induced apoptosis. Neuroscience Letters. 259(2). 115–118. 35 indexed citations
16.
Shin, Seon H., et al.. (1999). Estimation of PC12 cell numbers with acid phosphatase assay and mitochondrial dehydrogenase assay: dopamine interferes with assay based on tetrazolium. Experimental Brain Research. 124(2). 145–150. 10 indexed citations
17.
Ross, Gregory M., et al.. (1998). Glutathione protects PC12 cells from ascorbate- and dopamine-induced apoptosis. Experimental Brain Research. 123(3). 263–268. 36 indexed citations
18.
Ross, Gregory M., et al.. (1998). Reciprocal modulation of TrkA and p75NTR affinity states is mediated by direct receptor interactions. European Journal of Neuroscience. 10(3). 890–898. 61 indexed citations
19.
Ross, Gregory M., Brian E. McCarry, & Ram K. Mishra. (1995). Covalent Affinity Labeling of Brain Catecholamine‐Absorbing Proteins Using a High‐Specific‐Activity Substituted Tetrahydronaphthalene. Journal of Neurochemistry. 65(6). 2783–2789. 13 indexed citations
20.
Ross, Gregory M., et al.. (1988). Sulfated cholecystokinin octapeptide (CCK8) failed to modulate basal or dopamine-stimulated adenylate cyclase activity in the rat striatum. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 12(2-3). 331–336. 1 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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