Michael L. Patnode

562 total citations · 1 hit paper
8 papers, 402 citations indexed

About

Michael L. Patnode is a scholar working on Molecular Biology, Food Science and Infectious Diseases. According to data from OpenAlex, Michael L. Patnode has authored 8 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Food Science and 2 papers in Infectious Diseases. Recurrent topics in Michael L. Patnode's work include Probiotics and Fermented Foods (3 papers), Gut microbiota and health (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Michael L. Patnode is often cited by papers focused on Probiotics and Fermented Foods (3 papers), Gut microbiota and health (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Michael L. Patnode collaborates with scholars based in United States, France and Saudi Arabia. Michael L. Patnode's co-authors include Bernard Henrissat, Nicolas Terrapon, Jeffrey I. Gordon, Steven D. Rosen, Robert L. Hettich, Richard J. Giannone, Sophie Vinoy, Zachary Beller, Luc Saulnier and Alexandra Meynier and has published in prestigious journals such as Cell, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Michael L. Patnode

8 papers receiving 400 citations

Hit Papers

Interspecies Competition Impacts Targeted Manipulation of... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael L. Patnode United States 6 272 102 76 65 56 8 402
Dimitrios Latousakis United Kingdom 14 296 1.1× 109 1.1× 43 0.6× 112 1.7× 42 0.8× 17 442
D.W. Chen China 10 278 1.0× 60 0.6× 52 0.7× 48 0.7× 35 0.6× 17 453
Varsha Raghavan United States 9 279 1.0× 108 1.1× 45 0.6× 60 0.9× 25 0.4× 10 383
Shuh‐Chyung Song Taiwan 12 312 1.1× 62 0.6× 49 0.6× 57 0.9× 162 2.9× 16 436
Christy C. Wentworth United States 5 267 1.0× 118 1.2× 38 0.5× 46 0.7× 157 2.8× 9 509
Courtney Ardita United States 5 421 1.5× 121 1.2× 73 1.0× 78 1.2× 210 3.8× 8 685
Haitao Xiong China 9 220 0.8× 88 0.9× 20 0.3× 76 1.2× 83 1.5× 13 466
Frank Weiler Germany 8 243 0.9× 107 1.0× 43 0.6× 98 1.5× 70 1.3× 14 493
Svetlana E. Koshlukova United States 9 300 1.1× 52 0.5× 63 0.8× 25 0.4× 109 1.9× 15 660
Matvei Khoroshkin United States 7 388 1.4× 120 1.2× 62 0.8× 81 1.2× 14 0.3× 9 507

Countries citing papers authored by Michael L. Patnode

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Patnode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael L. Patnode

This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Patnode. A scholar is included among the top collaborators of Michael L. Patnode 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 L. Patnode. Michael L. Patnode 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.
Patnode, Michael L., et al.. (2024). Bacterial interactions on nutrient-rich surfaces in the gut lumen. Infection and Immunity. 92(9). e0048023–e0048023. 2 indexed citations
2.
Patnode, Michael L., Janaki L. Guruge, Juan J. Castillo, et al.. (2021). Strain-level functional variation in the human gut microbiota based on bacterial binding to artificial food particles. Cell Host & Microbe. 29(4). 664–673.e5. 34 indexed citations
3.
Patnode, Michael L., Zachary Beller, Jiye Cheng, et al.. (2019). Interspecies Competition Impacts Targeted Manipulation of Human Gut Bacteria by Fiber-Derived Glycans. Cell. 179(1). 59–73.e13. 239 indexed citations breakdown →
4.
An, Jie, Liping Wang, Michael L. Patnode, et al.. (2018). Physiological mechanisms of sustained fumagillin-induced weight loss. JCI Insight. 3(5). 9 indexed citations
5.
Patnode, Michael L., Jennifer K. Bando, Matthew F. Krummel, Richard M. Locksley, & Steven D. Rosen. (2014). Leukotriene B4 amplifies eosinophil accumulation in response to nematodes. The Journal of Experimental Medicine. 211(7). 1281–1288. 49 indexed citations
6.
Patnode, Michael L., Chi‐Chi Chou, Mark S. Singer, et al.. (2013). Galactose 6-O-Sulfotransferases Are Not Required for the Generation of Siglec-F Ligands in Leukocytes or Lung Tissue. Journal of Biological Chemistry. 288(37). 26533–26545. 36 indexed citations
7.
Patnode, Michael L., Shin‐Yi Yu, M.-Y. Ho, et al.. (2012). KSGal6ST generates galactose-6-O-sulfate in high endothelial venules but does not contribute to L-selectin-dependent lymphocyte homing. Glycobiology. 23(3). 381–394. 31 indexed citations
8.
Patnode, Michael L., William M. Abraham, Paul R. Crocker, & Steven D. Rosen. (2009). Goblet cells express carbohydrate ligands for Siglec-8 and Siglec-F. Discovery Research Portal (University of Dundee). 2 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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