Michael R. Huff

529 total citations
10 papers, 440 citations indexed

About

Michael R. Huff is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Michael R. Huff has authored 10 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Oncology. Recurrent topics in Michael R. Huff's work include Immunotherapy and Immune Responses (2 papers), Lysosomal Storage Disorders Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Michael R. Huff is often cited by papers focused on Immunotherapy and Immune Responses (2 papers), Lysosomal Storage Disorders Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Michael R. Huff collaborates with scholars based in United States, Switzerland and France. Michael R. Huff's co-authors include Peter J. Elliott, Neil J. Hayward, Raymond T. Bartus, Peter Piepenhagen, Reginald L. Dean, Pamela Snodgrass, Keith L. Black, Marco A. Passini, Tatyana V. Taksir and Shannon L. Macauley and has published in prestigious journals such as Journal of Neuroscience, Cancer Research and The FASEB Journal.

In The Last Decade

Michael R. Huff

7 papers receiving 419 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 R. Huff United States 5 234 122 92 60 58 10 440
Luc Régal Belgium 15 336 1.4× 195 1.6× 74 0.8× 36 0.6× 117 2.0× 33 689
Tohru Hirato Japan 11 207 0.9× 244 2.0× 81 0.9× 42 0.7× 37 0.6× 18 566
Elizabeth Y. Qin United States 5 128 0.5× 157 1.3× 88 1.0× 30 0.5× 23 0.4× 5 323
Jiang Du China 15 288 1.2× 60 0.5× 47 0.5× 52 0.9× 22 0.4× 31 547
Stephen M. Carlin Australia 16 286 1.2× 338 2.8× 79 0.9× 59 1.0× 51 0.9× 25 957
Eszter Varga Hungary 12 316 1.4× 177 1.5× 53 0.6× 13 0.2× 61 1.1× 35 495
Daniel K. Borger United States 8 176 0.8× 257 2.1× 62 0.7× 29 0.5× 19 0.3× 14 516
Hiroyuki Sonoda Japan 13 305 1.3× 325 2.7× 31 0.3× 56 0.9× 54 0.9× 37 723
Franziska Joncourt Switzerland 16 359 1.5× 44 0.4× 41 0.4× 122 2.0× 70 1.2× 31 613
Joby Varghese United Kingdom 12 489 2.1× 56 0.5× 35 0.4× 76 1.3× 36 0.6× 14 653

Countries citing papers authored by Michael R. Huff

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Huff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael R. Huff

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

All Works

10 of 10 papers shown
1.
Milgram, Benjamin C., Natasja Brooijmans, Jack A. Henderson, et al.. (2025). Discovery of STX-721, a Covalent, Potent, and Highly Mutant-Selective EGFR/HER2 Exon20 Insertion Inhibitor for the Treatment of Non-Small Cell Lung Cancer. Journal of Medicinal Chemistry. 68(3). 2403–2421.
4.
Patten, Scott M. Van, Heather Hughes, Michael R. Huff, et al.. (2007). Effect of mannose chain length on targeting of glucocerebrosidase for enzyme replacement therapy of Gaucher disease. Glycobiology. 17(5). 467–478. 88 indexed citations
5.
Huff, Michael R., Kerry Culm-Merdek, Robert Fogle, et al.. (2007). Pharmacokinetics and pharmacodynamics following low dose TSH administration in aged ovariectomized rats. The FASEB Journal. 21(5).
6.
Passini, Marco A., Shannon L. Macauley, Michael R. Huff, et al.. (2005). AAV Vector-Mediated Correction of Brain Pathology in a Mouse Model of Niemann–Pick A Disease. Molecular Therapy. 11(5). 754–762. 80 indexed citations
7.
Shihabuddin, Lamya S., Michael R. Huff, James C. Dodge, et al.. (2004). Intracerebral Transplantation of Adult Mouse Neural Progenitor Cells into the Niemann-Pick-A Mouse Leads to a Marked Decrease in Lysosomal Storage Pathology. Journal of Neuroscience. 24(47). 10642–10651. 68 indexed citations
8.
Huff, Michael R.. (1998). A LabVIEW- based wind tunnel data acquisition system. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 1 indexed citations
9.
Elliott, Peter J., et al.. (1996). Unlocking the Blood–Brain Barrier: A Role for RMP-7 in Brain Tumor Therapy. Experimental Neurology. 141(2). 214–224. 86 indexed citations
10.
Bartus, Raymond T., Peter J. Elliott, Reginald L. Dean, et al.. (1996). Controlled Modulation of BBB Permeability Using the Bradykinin Agonist, RMP-7. Experimental Neurology. 142(1). 14–28. 114 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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