Jamey D. Marth

25.8k total citations · 6 hit papers
153 papers, 19.5k citations indexed

About

Jamey D. Marth is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Jamey D. Marth has authored 153 papers receiving a total of 19.5k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Molecular Biology, 65 papers in Immunology and 26 papers in Organic Chemistry. Recurrent topics in Jamey D. Marth's work include Glycosylation and Glycoproteins Research (83 papers), Galectins and Cancer Biology (32 papers) and Carbohydrate Chemistry and Synthesis (26 papers). Jamey D. Marth is often cited by papers focused on Glycosylation and Glycoproteins Research (83 papers), Galectins and Cancer Biology (32 papers) and Carbohydrate Chemistry and Synthesis (26 papers). Jamey D. Marth collaborates with scholars based in United States, Canada and Germany. Jamey D. Marth's co-authors include Kazuaki Ohtsubo, Daniel Chui, Roger M. Perlmutter, Paul C. Orban, Prabhjit K. Grewal, Gerald W. Hart, John B. Lowe, Lesley G. Ellies, Klaus Rajewsky and Hua Gu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jamey D. Marth

152 papers receiving 19.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Glycosylation in Cellular Mechanisms of Health and Disease

2006 2.3k citations Kazuaki Ohtsubo, Jamey D. Marth Cell profile →
Deletion of a DNA Polymerase β Gene Segment in T Cells Using Cell Type-Specific Gene Targeting

1994 1.1k citations Jamey D. Marth et al. Science profile →
Targeted disruption of the Huntington's disease gene results in embryonic lethality and behavioral and morphological changes in heterozygotes

1995 633 citations Jamey D. Marth et al. Cell profile →
The O-GlcNAc transferase gene resides on the X chromosome and is essential for embryonic stem cell viability and mouse ontogeny

2000 629 citations Lesley G. Ellies, Kurt W. Marek et al. Proceedings of the National Academy of Sciences profile →
Mammalian glycosylation in immunity

2008 561 citations Jamey D. Marth, Prabhjit K. Grewal profile →
A lymphocyte-specific protein-tyrosine kinase gene is rearranged and overexpressed in the murine T cell lymphoma LSTRA

1985 495 citations Jamey D. Marth, Roger M. Perlmutter et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jamey D. Marth United States	69	13.9k	6.7k	3.2k	2.1k	1.9k	153	19.5k
Paul R. Crocker United Kingdom	84	11.3k 0.8×	10.5k 1.6×	2.6k 0.8×	1.8k 0.9×	1.4k 0.8×	224	19.4k
Hugh Rosen United States	66	9.7k 0.7×	5.3k 0.8×	983 0.3×	2.1k 1.0×	1.3k 0.7×	198	16.4k
Reiji Kannagi Japan	66	11.1k 0.8×	4.5k 0.7×	2.5k 0.8×	2.9k 1.4×	1.9k 1.0×	303	15.0k
Pamela Stanley United States	61	11.2k 0.8×	4.0k 0.6×	3.1k 1.0×	1.9k 0.9×	696 0.4×	256	13.7k
Gerald R. Crabtree United States	76	18.1k 1.3×	7.7k 1.1×	740 0.2×	1.9k 0.9×	4.2k 2.2×	128	26.1k
Philip D. Stahl United States	78	12.6k 0.9×	4.8k 0.7×	905 0.3×	6.0k 2.9×	1.0k 0.5×	226	20.1k
Ulf R. Rapp Germany	85	18.9k 1.4×	3.7k 0.5×	657 0.2×	3.0k 1.4×	5.1k 2.7×	325	24.8k
Ronald L. Schnaar United States	66	8.0k 0.6×	2.4k 0.4×	1.8k 0.6×	2.0k 1.0×	643 0.3×	204	12.9k
Barbara B. Knowles United States	64	11.6k 0.8×	3.4k 0.5×	631 0.2×	1.5k 0.7×	2.1k 1.1×	218	18.1k
Len Neckers United States	85	19.4k 1.4×	4.0k 0.6×	644 0.2×	3.0k 1.4×	3.1k 1.6×	248	24.9k

Countries citing papers authored by Jamey D. Marth

Since Specialization

Citations

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

Fields of papers citing papers by Jamey D. Marth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamey D. Marth. 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 Jamey D. Marth. The network helps show where Jamey D. Marth may publish in the future.

Co-authorship network of co-authors of Jamey D. Marth

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

All Works

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20 of 20 papers shown

Puig‐Barberà, Joan, Matthew S. Miller, Ike Iheanacho, et al.. (2025). Expert consensus on the benefits of neuraminidase in conventional influenza vaccines: a Delphi study. BMC Infectious Diseases. 25(1). 53–53.

Immler, Roland, Omar El Bounkari, Silke Huber, et al.. (2024). CCR3-dependent eosinophil recruitment is regulated by sialyltransferase ST3Gal-IV. Proceedings of the National Academy of Sciences. 121(19). e2319057121–e2319057121. 7 indexed citations

Uchiyama, Satoshi, Joshua Olson, Yosuke Morodomi, et al.. (2021). Repurposed drugs block toxin-driven platelet clearance by the hepatic Ashwell-Morell receptor to clear Staphylococcus aureus bacteremia. Science Translational Medicine. 13(586). 33 indexed citations

Sperandio, Markus, et al.. (2020). The sialyltransferase ST3Gal-IV guides murine T-cell progenitors to the thymus. Blood Advances. 4(9). 1930–1941. 3 indexed citations

Uchiyama, Satoshi, Flavio Schwarz, Shoib Sarwar Siddiqui, et al.. (2019). Dual actions of group B Streptococcus capsular sialic acid provide resistance to platelet-mediated antimicrobial killing. Proceedings of the National Academy of Sciences. 116(15). 7465–7470. 63 indexed citations

Heithoff, Douglas M., Julia S. Westman, Sonoko Narisawa, et al.. (2018). Accelerated Aging and Clearance of Host Anti-inflammatory Enzymes by Discrete Pathogens Fuels Sepsis. Cell Host & Microbe. 24(4). 500–513.e5. 35 indexed citations

Heithoff, Douglas M., et al.. (2017). Recurrent infection progressively disables host protection against intestinal inflammation. Science. 358(6370). 84 indexed citations

Yang, Won Ho, et al.. (2015). An intrinsic mechanism of secreted protein aging and turnover. Proceedings of the National Academy of Sciences. 112(44). 13657–13662. 85 indexed citations

Draves, Kevin E., et al.. (2008). Dendritic Cell-Dependent Inhibition of B Cell Proliferation Requires CD22. The Journal of Immunology. 180(7). 4561–4569. 45 indexed citations

10.

Frommhold, David, Andreas Ludwig, M. Gabriele Bixel, et al.. (2008). Sialyltransferase ST3Gal-IV controls CXCR2-mediated firm leukocyte arrest during inflammation. The Journal of Experimental Medicine. 205(6). 1435–1446. 64 indexed citations

11.

Mitoma, Junya, Xingfeng Bao, Patrick Schaerli, et al.. (2007). Critical functions of N-glycans in L-selectin-mediated lymphocyte homing and recruitment. Nature Immunology. 8(4). 409–418. 138 indexed citations

12.

Angata, Kiyohiko, et al.. (2006). Cellular and Molecular Analysis of Neural Development of Glycosyltransferase Gene Knockout Mice. Methods in enzymology on CD-ROM/Methods in enzymology. 417. 25–37. 14 indexed citations

13.

Ohtsubo, Kazuaki & Jamey D. Marth. (2006). Glycosylation in Cellular Mechanisms of Health and Disease. Cell. 126(5). 855–867. 2281 indexed citations breakdown →

14.

Sperandio, Markus, David Frommhold, Lesley G. Ellies, et al.. (2006). α2,3‐Sialyltransferase‐IV is essential for L‐selectin ligand function in inflammation. European Journal of Immunology. 36(12). 3207–3215. 52 indexed citations

15.

Shi, Senlin, Suzannah A. Williams, Antti Seppo, et al.. (2003). Oocytes lacking complex N-glycans have a structurally altered zona pellucida and reduced superovulatory response but mature normally and are fertilized efficiently. Glycobiology. 13. 898–898. 1 indexed citations

16.

Sperandio, Markus, S. Bradley Forlow, Jayant Thatte, et al.. (2001). Differential Requirements for Core2 Glucosaminyltransferase for Endothelial L-Selectin Ligand Function In Vivo. The Journal of Immunology. 167(4). 2268–2274. 25 indexed citations

17.

Marszalek, Joseph R., Xinran Liu, Elizabeth A. Roberts, et al.. (2000). Genetic Evidence for Selective Transport of Opsin and Arrestin by Kinesin-II in Mammalian Photoreceptors. Cell. 102(2). 175–187. 339 indexed citations

18.

Varki, Ajit, Richard Cummings, Jeffrey D. Esko, et al.. (1999). Microbial Carbohydrate-binding Proteins. British Journal of Anaesthesia. 94(5). 692–3. 9 indexed citations

19.

Chui, Daniel, Masayoshi Oh‐eda, Anita Lal, et al.. (1997). Alpha-Mannosidase-II Deficiency Results in Dyserythropoiesis and Unveils an Alternate Pathway in Oligosaccharide Biosynthesis. Cell. 90(1). 157–167. 165 indexed citations

20.

Abraham, Kristin M., Steven D. Levin, Jamey D. Marth, Katherine A. Forbush, & Roger M. Perlmutter. (1991). Delayed thymocyte development induced by augmented expression of p56lck.. The Journal of Experimental Medicine. 173(6). 1421–1432. 108 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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