Michael T. Moran

482 total citations
8 papers, 328 citations indexed

About

Michael T. Moran is a scholar working on Immunology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Michael T. Moran has authored 8 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Physiology. Recurrent topics in Michael T. Moran's work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers) and Alzheimer's disease research and treatments (2 papers). Michael T. Moran is often cited by papers focused on Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers) and Alzheimer's disease research and treatments (2 papers). Michael T. Moran collaborates with scholars based in United States. Michael T. Moran's co-authors include Stephen N. Waggoner, Sarah E. Mahl, Carolyn E. Rydyznski, Taylor Brooks, Amit Singh, Meghana Tare, Keith A. Daniels, Rujapak Sutiwisesak, Fazeela Yaqoob and Ivayla E. Gyurova and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Immunology.

In The Last Decade

Michael T. Moran

7 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael T. Moran United States 6 196 58 49 39 39 8 328
Antonella Riccomi Italy 11 198 1.0× 88 1.5× 43 0.9× 33 0.8× 37 0.9× 16 340
Louis Lu Australia 9 169 0.9× 143 2.5× 38 0.8× 29 0.7× 12 0.3× 11 362
Mariana Borsa Switzerland 13 266 1.4× 155 2.7× 126 2.6× 72 1.8× 45 1.2× 31 516
Ehsan Sharif‐Askari Canada 7 207 1.1× 148 2.6× 121 2.5× 59 1.5× 26 0.7× 8 372
Alisha Chitrakar United States 11 163 0.8× 214 3.7× 35 0.7× 35 0.9× 29 0.7× 19 407
T. Kevin Howcroft United States 10 187 1.0× 248 4.3× 32 0.7× 36 0.9× 25 0.6× 13 509
Emi Kajita Japan 8 244 1.2× 138 2.4× 47 1.0× 31 0.8× 20 0.5× 9 377
Anette Braß Sweden 12 136 0.7× 98 1.7× 144 2.9× 81 2.1× 39 1.0× 17 459
Robert L. Furler O’Brien United States 8 62 0.3× 75 1.3× 36 0.7× 33 0.8× 27 0.7× 16 214
Ailís O’Carroll Australia 6 139 0.7× 166 2.9× 34 0.7× 8 0.2× 21 0.5× 8 313

Countries citing papers authored by Michael T. Moran

Since Specialization
Citations

This map shows the geographic impact of Michael T. Moran'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 Michael T. Moran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Moran more than expected).

Fields of papers citing papers by Michael T. Moran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Moran. 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 Michael T. Moran. The network helps show where Michael T. Moran may publish in the future.

Co-authorship network of co-authors of Michael T. Moran

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

All Works

8 of 8 papers shown
1.
Moran, Michael T., et al.. (2021). Natural killer cell immunosuppressive function requires CXCR3-dependent redistribution within lymphoid tissues. Journal of Clinical Investigation. 131(18). 28 indexed citations
2.
Moran, Michael T., et al.. (2019). LAG-3 modulation of natural killer cell immunoregulatory function. The Journal of Immunology. 202(1_Supplement). 76.7–76.7. 2 indexed citations
3.
Rydyznski, Carolyn E., Keith A. Daniels, Taylor Brooks, et al.. (2015). Generation of cellular immune memory and B-cell immunity is impaired by natural killer cells. Nature Communications. 6(1). 6375–6375. 105 indexed citations
4.
Waggoner, Stephen N., Ivayla E. Gyurova, Stacey Cranert, et al.. (2015). Roles of natural killer cells in antiviral immunity. Current Opinion in Virology. 16. 15–23. 117 indexed citations
5.
Sarkar, Ankita, Michael T. Moran, Oorvashi Roy Puli, et al.. (2015). Drosophila Eye Model to Study Neuroprotective Role of CREB Binding Protein (CBP) in Alzheimer’s Disease. PLoS ONE. 10(9). e0137691–e0137691. 40 indexed citations
6.
Moran, Michael T., Meghana Tare, Madhuri Kango‐Singh, & Amit Singh. (2013). Homeotic Gene teashirt (tsh) Has a Neuroprotective Function in Amyloid-Beta 42 Mediated Neurodegeneration. PLoS ONE. 8(11). e80829–e80829. 22 indexed citations
7.
Tare, Meghana, Oorvashi Roy Puli, Michael T. Moran, Madhuri Kango‐Singh, & Amit Singh. (2012). Domain specific genetic mosaic system in the Drosophila eye. genesis. 51(1). 68–74. 13 indexed citations
8.
Moran, Michael T.. (1984). Particle size analysis of plasticized PVC dispersion resins using the photometric centrifugal sedimentation method. Journal of Vinyl Technology. 6(4). 167–175. 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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