Mac Robinson

977 total citations
16 papers, 710 citations indexed

About

Mac Robinson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Mac Robinson has authored 16 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Mac Robinson's work include Heat shock proteins research (4 papers), IL-33, ST2, and ILC Pathways (3 papers) and Nerve injury and regeneration (3 papers). Mac Robinson is often cited by papers focused on Heat shock proteins research (4 papers), IL-33, ST2, and ILC Pathways (3 papers) and Nerve injury and regeneration (3 papers). Mac Robinson collaborates with scholars based in United States, Bulgaria and Germany. Mac Robinson's co-authors include Anna Taylor, David J. Gifondorwa, Carolanne E. Milligan, Michael Tytell, Carol Milligan, David Prevette, Ronald W. Oppenheim, James B. Caress, Crystal D. Hayes and Jason M. Newbern and has published in prestigious journals such as Journal of Neuroscience, Nature Protocols and Journal of Allergy and Clinical Immunology.

In The Last Decade

Mac Robinson

16 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mac Robinson United States 12 430 158 135 104 87 16 710
Rosangela Ferese Italy 16 577 1.3× 91 0.6× 117 0.9× 108 1.0× 59 0.7× 43 879
Yoshitsugu Saishin Japan 22 749 1.7× 123 0.8× 85 0.6× 112 1.1× 105 1.2× 56 1.8k
John P. Grady United Kingdom 22 1.1k 2.5× 140 0.9× 117 0.9× 208 2.0× 94 1.1× 51 1.4k
Martin Horan Australia 14 375 0.9× 132 0.8× 173 1.3× 51 0.5× 76 0.9× 24 797
Chia-Yi Kuan United States 19 402 0.9× 100 0.6× 77 0.6× 120 1.2× 72 0.8× 37 981
Xingxing Xu China 15 595 1.4× 67 0.4× 56 0.4× 143 1.4× 96 1.1× 33 934
Moises Freitas‐Andrade Canada 16 611 1.4× 122 0.8× 47 0.3× 129 1.2× 92 1.1× 22 1.0k
Sofia A. Oliveira Portugal 17 592 1.4× 135 0.9× 187 1.4× 230 2.2× 210 2.4× 29 1.2k
Bernhard Weschke Germany 13 547 1.3× 164 1.0× 96 0.7× 116 1.1× 41 0.5× 23 985
Meena Bhattacharjee United States 11 281 0.7× 94 0.6× 100 0.7× 52 0.5× 35 0.4× 23 633

Countries citing papers authored by Mac Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Mac Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mac Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of Mac Robinson. A scholar is included among the top collaborators of Mac Robinson 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 Mac Robinson. Mac Robinson 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.
Song, Alexander H., Mac Robinson, Joshua D. Waltonen, et al.. (2022). Serendipitous synergism – an exceptional response to treatment with pembrolizumab in the course of a natural immunovirotherapy: a case report and review of the literature. Therapeutic Advances in Medical Oncology. 14. 4287534761–4287534761. 1 indexed citations
2.
Wosiski‐Kuhn, Marlena, Mac Robinson, Phonepasong Arounleut, et al.. (2019). IL6 receptor 358 Ala variant and trans-signaling are disease modifiers in amyotrophic lateral sclerosis. Neurology Neuroimmunology & Neuroinflammation. 6(6). e631–e631. 20 indexed citations
3.
Burnett, Luke, et al.. (2019). Biomolecular Analysis of Beta Dose-Dependent Cutaneous Radiation Injury in a Porcine Model. Radiation Research. 192(2). 145–145. 11 indexed citations
4.
Lamar, Zanetta S., LeAnne Kennedy, Scott Isom, et al.. (2017). Hyperglycemia during first-line R-CHOP or dose adjusted R-EPOCH chemotherapy for non-Hodgkin lymphoma is prevalent and associated with chemotherapy alteration – a retrospective study. Leukemia & lymphoma. 59(8). 1871–1877. 13 indexed citations
5.
Robinson, Mac, Deepak A. Deshpande, Wei Cui, et al.. (2015). IL-6 trans-signaling increases expression of airways disease genes in airway smooth muscle. American Journal of Physiology-Lung Cellular and Molecular Physiology. 309(2). L129–L138. 42 indexed citations
6.
Hawkins, Gregory A., Mac Robinson, Annette T. Hastie, et al.. (2012). The IL6R variation Asp358Ala is a potential modifier of lung function in subjects with asthma. Journal of Allergy and Clinical Immunology. 130(2). 510–515.e1. 74 indexed citations
7.
Gifondorwa, David J., et al.. (2012). Administration of Recombinant Heat Shock Protein 70 Delays Peripheral Muscle Denervation in the SOD1G93AMouse Model of Amyotrophic Lateral Sclerosis. Neurology Research International. 2012. 1–14. 24 indexed citations
8.
Taylor, Anna, David J. Gifondorwa, Mac Robinson, et al.. (2011). Motoneuron programmed cell death in response to proBDNF. Developmental Neurobiology. 72(5). 699–712. 41 indexed citations
9.
Luo, Ying, Ivan Shubin, Mac Robinson, et al.. (2011). Experimental studies of the Franz-Keldysh effect in CVD grown GeSi epi on SOI. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7944. 79440P–79440P. 4 indexed citations
10.
Hawkins, Gregory A., Mac Robinson, Wendy C. Moore, et al.. (2010). Serum Levels of Soluble IL6R are Genetically Regulated and Correlate with Lung Function in Asthmatics: Severe Asthma Research Program (SARP). Journal of Allergy and Clinical Immunology. 125(2). AB357–AB357. 1 indexed citations
11.
Gifondorwa, David J., Mac Robinson, Crystal D. Hayes, et al.. (2007). Exogenous Delivery of Heat Shock Protein 70 Increases Lifespan in a Mouse Model of Amyotrophic Lateral Sclerosis. Journal of Neuroscience. 27(48). 13173–13180. 107 indexed citations
12.
Taylor, Anna, Mac Robinson, David J. Gifondorwa, Michael Tytell, & Carolanne E. Milligan. (2007). Regulation of heat shock protein 70 release in astrocytes: Role of signaling kinases. Developmental Neurobiology. 67(13). 1815–1829. 216 indexed citations
13.
Taylor, Anna, David J. Gifondorwa, Jason M. Newbern, et al.. (2007). Astrocyte and Muscle-Derived Secreted Factors Differentially Regulate Motoneuron Survival. Journal of Neuroscience. 27(3). 634–644. 23 indexed citations
14.
Robinson, Mac, Anna Taylor, David J. Gifondorwa, Michael Tytell, & Carolanne E. Milligan. (2007). Exogenous Hsc70, but not thermal preconditioning, confers protection to motoneurons subjected to oxidative stress. Developmental Neurobiology. 68(1). 1–17. 22 indexed citations
15.
Taylor, Anna, Mac Robinson, & Carol Milligan. (2007). In vitro methods to prepare astrocyte and motoneuron cultures for the investigation of potential in vivo interactions. Nature Protocols. 2(6). 1499–1507. 17 indexed citations
16.
Robinson, Mac, J. Lille Tidwell, Thomas W. Gould, et al.. (2005). Extracellular Heat Shock Protein 70: A Critical Component for Motoneuron Survival. Journal of Neuroscience. 25(42). 9735–9745. 94 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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