Nathan P. Manes

1.3k total citations
39 papers, 952 citations indexed

About

Nathan P. Manes is a scholar working on Molecular Biology, Spectroscopy and Immunology. According to data from OpenAlex, Nathan P. Manes has authored 39 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Spectroscopy and 13 papers in Immunology. Recurrent topics in Nathan P. Manes's work include Advanced Proteomics Techniques and Applications (13 papers), Immune Response and Inflammation (10 papers) and Mass Spectrometry Techniques and Applications (6 papers). Nathan P. Manes is often cited by papers focused on Advanced Proteomics Techniques and Applications (13 papers), Immune Response and Inflammation (10 papers) and Mass Spectrometry Techniques and Applications (6 papers). Nathan P. Manes collaborates with scholars based in United States, Australia and India. Nathan P. Manes's co-authors include Aleksandra Nita‐Lazar, Richard Smith, M. Raafat El‐Maghrabi, Joshua Adkins, Xiuxia Du, Heather M. Mottaz, Iain D. C. Fraser, Matthew Monroe, Samuel Purvine and Scott W. Wong and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Nathan P. Manes

38 papers receiving 940 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan P. Manes United States 19 582 205 160 121 104 39 952
Quentin Giai Gianetto France 16 560 1.0× 86 0.4× 82 0.5× 120 1.0× 62 0.6× 45 907
Ming‐Yi Ho Taiwan 18 541 0.9× 53 0.3× 196 1.2× 158 1.3× 101 1.0× 28 976
Lonnie D. Adams United States 11 595 1.0× 124 0.6× 92 0.6× 54 0.4× 24 0.2× 23 1.0k
Laurence O. Whiteley United States 20 596 1.0× 35 0.2× 248 1.6× 98 0.8× 152 1.5× 47 1.4k
Xinlei Sheng United States 14 442 0.8× 61 0.3× 105 0.7× 133 1.1× 107 1.0× 23 801
Gun Wook Park South Korea 15 715 1.2× 227 1.1× 98 0.6× 124 1.0× 118 1.1× 27 1.0k
Piyush Agrawal India 17 1.4k 2.4× 35 0.2× 158 1.0× 61 0.5× 37 0.4× 36 1.6k
Oliver Drews Germany 21 915 1.6× 227 1.1× 151 0.9× 215 1.8× 61 0.6× 43 1.4k
G. Lynn Law United States 22 926 1.6× 24 0.1× 195 1.2× 140 1.2× 57 0.5× 32 1.3k

Countries citing papers authored by Nathan P. Manes

Since Specialization
Citations

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

Fields of papers citing papers by Nathan P. Manes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan P. Manes. 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 Nathan P. Manes. The network helps show where Nathan P. Manes may publish in the future.

Co-authorship network of co-authors of Nathan P. Manes

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

All Works

20 of 20 papers shown
1.
Yoon, Sung Hwan, et al.. (2025). Phosphoproteomic profiling of lipopolysaccharide stimulated toll-like receptor pathways in macrophages. Scientific Data. 12(1). 1856–1856.
2.
Issara-Amphorn, Jiraphorn, et al.. (2024). Lipopolysaccharide Regulates the Macrophage RNA-Binding Proteome. Journal of Proteome Research. 23(8). 3280–3293. 1 indexed citations
3.
Rochman, Mark, Yrina Rochman, Julie M. Caldwell, et al.. (2023). The minichromosome maintenance complex drives esophageal basal zone hyperplasia. JCI Insight. 8(17). 9 indexed citations
4.
Manes, Nathan P., Jian Song, & Aleksandra Nita‐Lazar. (2023). EnsMOD: A Software Program for Omics Sample Outlier Detection. Journal of Computational Biology. 30(6). 726–735. 2 indexed citations
5.
Issara-Amphorn, Jiraphorn, et al.. (2023). Myristoylated, alanine-rich C-kinase substrate (MARCKS) regulates toll-like receptor 4 signaling in macrophages. Scientific Reports. 13(1). 19562–19562. 4 indexed citations
6.
Manes, Nathan P., et al.. (2023). Targeted proteomics-driven computational modeling of the mouse macrophage toll-like receptor signaling pathway. The Journal of Immunology. 210(Supplement_1). 161.09–161.09. 1 indexed citations
7.
Manes, Nathan P., et al.. (2022). Absolute protein quantitation of the mouse macrophage Toll-like receptor and chemotaxis pathways. Scientific Data. 9(1). 491–491. 3 indexed citations
8.
Li, Zhipeng, Manoj Gurung, Richard R. Rodrigues, et al.. (2022). Microbiota and adipocyte mitochondrial damage in type 2 diabetes are linked by Mmp12+ macrophages. The Journal of Experimental Medicine. 219(7). 38 indexed citations
9.
Manes, Nathan P. & Aleksandra Nita‐Lazar. (2021). Molecular Mechanisms of the Toll-Like Receptor, STING, MAVS, Inflammasome, and Interferon Pathways. mSystems. 6(3). 101128msystems0033621–101128msystems0033621. 15 indexed citations
10.
Gillen, Joseph, Thunnicha Ondee, Devikala Gurusamy, et al.. (2021). LPS Tolerance Inhibits Cellular Respiration and Induces Global Changes in the Macrophage Secretome. Biomolecules. 11(2). 164–164. 40 indexed citations
11.
Ernst, Orna, Mohd M. Khan, Benjamin L. Oyler, et al.. (2021). Species-Specific Endotoxin Stimulus Determines Toll-Like Receptor 4- and Caspase 11-Mediated Pathway Activation Characteristics. mSystems. 6(4). e0030621–e0030621. 18 indexed citations
12.
Daniels, Casey M., Clinton J. Bradfield, Trisha Tucholski, et al.. (2020). Dynamic ADP-Ribosylome, Phosphoproteome, and Interactome in LPS-Activated Macrophages. Journal of Proteome Research. 19(9). 3716–3731. 16 indexed citations
13.
Bansal, Reema, Mohd M. Khan, Surendra Dasari, et al.. (2020). Proteomic profile of vitreous in patients with tubercular uveitis. Tuberculosis. 126. 102036–102036. 11 indexed citations
14.
Manes, Nathan P. & Aleksandra Nita‐Lazar. (2018). Application of targeted mass spectrometry in bottom-up proteomics for systems biology research. Journal of Proteomics. 189. 75–90. 88 indexed citations
15.
Khan, Mohd M., et al.. (2018). Host-pathogen dynamics through targeted secretome analysis of stimulated macrophages. Journal of Proteomics. 189. 34–38. 11 indexed citations
16.
17.
Manes, Nathan P., B. Angermann, Eunkyung An, et al.. (2015). Targeted Proteomics-Driven Computational Modeling of Macrophage S1P Chemosensing. Molecular & Cellular Proteomics. 14(10). 2661–2681. 15 indexed citations
18.
Brown, Joseph N., Ryan D. Estep, Daniel López‐Ferrer, et al.. (2010). Characterization of Macaque Pulmonary Fluid Proteome during Monkeypox Infection. Molecular & Cellular Proteomics. 9(12). 2760–2771. 17 indexed citations
19.
Shi, Liang, Joshua Adkins, James R. Coleman, et al.. (2006). Proteomic Analysis of Salmonella enterica Serovar Typhimurium Isolated from RAW 264.7 Macrophages. Journal of Biological Chemistry. 281(39). 29131–29140. 123 indexed citations
20.
Manes, Nathan P., et al.. (2005). Crystal Structure of the Hypoxia-inducible Form of 6-Phosphofructo-2-kinase/fructose-2,6-bisphosphatase (PFKFB3). Journal of Biological Chemistry. 281(5). 2939–2944. 39 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Quentin Giai Gianetto Breakdown of academic impact, for papers by Ming‐Yi Ho Breakdown of academic impact, for papers by Lonnie D. Adams Breakdown of academic impact, for papers by Laurence O. Whiteley Breakdown of academic impact, for papers by Xinlei Sheng Breakdown of academic impact, for papers by Gun Wook Park Breakdown of academic impact, for papers by Piyush Agrawal Breakdown of academic impact, for papers by Oliver Drews Breakdown of academic impact, for papers by G. Lynn Law
Rankless by CCL
2026