Janet E. McCombs

1.9k total citations · 1 hit paper
21 papers, 1.4k citations indexed

About

Janet E. McCombs is a scholar working on Molecular Biology, Epidemiology and Organic Chemistry. According to data from OpenAlex, Janet E. McCombs has authored 21 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Epidemiology and 4 papers in Organic Chemistry. Recurrent topics in Janet E. McCombs's work include Glycosylation and Glycoproteins Research (6 papers), Pneumonia and Respiratory Infections (4 papers) and Carbohydrate Chemistry and Synthesis (4 papers). Janet E. McCombs is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Pneumonia and Respiratory Infections (4 papers) and Carbohydrate Chemistry and Synthesis (4 papers). Janet E. McCombs collaborates with scholars based in United States, France and Sweden. Janet E. McCombs's co-authors include Amy E. Palmer, Fabiana Perocchi, Vamsi K. Mootha, Hany S. Girgis, Vishal M. Gohil, Xiaoyan Bao, Yan Qin, Jennifer J. Kohler, Jay K. Kolls and Joseph P. Hoffmann and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Frontiers in Immunology.

In The Last Decade

Janet E. McCombs

21 papers receiving 1.4k citations

Hit Papers

MICU1 encodes a mitochondrial EF hand protein required fo... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janet E. McCombs United States 15 1.1k 207 166 144 139 21 1.4k
Reiko Mineki Japan 25 789 0.7× 114 0.6× 157 0.9× 159 1.1× 202 1.5× 47 1.4k
Timothy Schneider United States 20 1.4k 1.3× 238 1.1× 272 1.6× 337 2.3× 168 1.2× 29 2.0k
Mirkka Koivusalo Finland 11 1.1k 1.0× 72 0.3× 120 0.7× 336 2.3× 153 1.1× 12 1.6k
Hans Voshol Switzerland 27 1.5k 1.4× 197 1.0× 145 0.9× 268 1.9× 134 1.0× 45 2.3k
Marı́a A. Günther Sillero Spain 27 1.3k 1.2× 142 0.7× 113 0.7× 80 0.6× 95 0.7× 75 1.8k
Kirill Gorshkov United States 20 1.1k 1.0× 101 0.5× 125 0.8× 87 0.6× 136 1.0× 43 1.7k
Merel J.W. Adjobo-Hermans Netherlands 21 853 0.8× 133 0.6× 34 0.2× 125 0.9× 191 1.4× 49 1.3k
Jeeyun Chung United States 13 1.2k 1.1× 91 0.4× 184 1.1× 678 4.7× 314 2.3× 15 1.9k
Manuel M. Sánchez del Pino Spain 24 967 0.9× 106 0.5× 136 0.8× 91 0.6× 151 1.1× 55 1.7k
Joost Van Durme Belgium 24 1.3k 1.2× 120 0.6× 71 0.4× 148 1.0× 168 1.2× 31 1.8k

Countries citing papers authored by Janet E. McCombs

Since Specialization
Citations

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

Fields of papers citing papers by Janet E. McCombs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet E. McCombs. 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 Janet E. McCombs. The network helps show where Janet E. McCombs may publish in the future.

Co-authorship network of co-authors of Janet E. McCombs

This figure shows the co-authorship network connecting the top 25 collaborators of Janet E. McCombs. A scholar is included among the top collaborators of Janet E. McCombs 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 Janet E. McCombs. Janet E. McCombs 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.
Khatun, Mst. Shamima, Zhen Chen, Mohammad Islamuddin, et al.. (2024). Deficiency of Tlr7 and Irf7 in mice increases the severity of COVID-19 through the reduced interferon production. Communications Biology. 7(1). 1162–1162. 7 indexed citations
2.
Hoffmann, Joseph P., Haoran Yang, Naoki Iwanaga, et al.. (2024). Vaccine-elicited IL-1R signaling results in Th17 TRM-mediated immunity. Communications Biology. 7(1). 433–433. 5 indexed citations
3.
Dai, Guixiang, et al.. (2022). Germline IgM predicts T cell immunity to Pneumocystis. JCI Insight. 7(17). 5 indexed citations
4.
Iwanaga, Naoki, Kong Chen, Haoran Yang, et al.. (2021). Vaccine-driven lung TRM cells provide immunity against Klebsiella via fibroblast IL-17R signaling. Science Immunology. 6(63). eabf1198–eabf1198. 42 indexed citations
5.
Hoffmann, Joseph P., Jay K. Kolls, & Janet E. McCombs. (2021). Regulation and Function of ILC3s in Pulmonary Infections. Frontiers in Immunology. 12. 672523–672523. 34 indexed citations
6.
Iwanaga, Naoki, et al.. (2020). Host immunology and rational immunotherapy for carbapenem-resistant Klebsiella pneumoniae infection. JCI Insight. 5(8). 17 indexed citations
7.
McCombs, Janet E., et al.. (2016). Glycan specificity of neuraminidases determined in microarray format. Carbohydrate Research. 428. 31–40. 9 indexed citations
8.
McCombs, Janet E. & Jennifer J. Kohler. (2016). Pneumococcal Neuraminidase Substrates Identified through Comparative Proteomics Enabled by Chemoselective Labeling. Bioconjugate Chemistry. 27(4). 1013–1022. 16 indexed citations
9.
Fermaintt, Charles S., et al.. (2015). Cellular metabolism of unnatural sialic acid precursors. Glycoconjugate Journal. 32(7). 515–529. 22 indexed citations
10.
McCombs, Janet E., et al.. (2015). Enhanced Cross-Linking of Diazirine-Modified Sialylated Glycoproteins Enabled through Profiling of Sialidase Specificities. ACS Chemical Biology. 11(1). 185–192. 17 indexed citations
11.
McCombs, Janet E., et al.. (2012). Sialidase Specificity Determined by Chemoselective Modification of Complex Sialylated Glycans. ACS Chemical Biology. 7(9). 1509–1514. 26 indexed citations
12.
Geng, Xin, Chenghao Huang, Yan Qin, et al.. (2012). Hepatitis B virus X protein targets Bcl-2 proteins to increase intracellular calcium, required for virus replication and cell death induction. Proceedings of the National Academy of Sciences. 109(45). 18471–18476. 74 indexed citations
13.
Palmer, Amy E., et al.. (2011). Design and application of genetically encoded biosensors. Trends in biotechnology. 29(3). 144–152. 181 indexed citations
14.
McCombs, Janet E., Emily A. Gibson, & Amy E. Palmer. (2010). Using a genetically targeted sensor to investigate the role of presenilin-1 in ER Ca2+ levels and dynamics. Molecular BioSystems. 6(9). 1640–1649. 27 indexed citations
15.
Perocchi, Fabiana, Vishal M. Gohil, Hany S. Girgis, et al.. (2010). MICU1 encodes a mitochondrial EF hand protein required for Ca2+ uptake. Nature. 467(7313). 291–296. 702 indexed citations breakdown →
16.
McCombs, Janet E. & Amy E. Palmer. (2008). Measuring calcium dynamics in living cells with genetically encodable calcium indicators. Methods. 46(3). 152–159. 83 indexed citations
17.
Jeon, Won Bae, David J. Aceti, C.A. Bingman, et al.. (2005). High-throughput Purification and Quality Assurance of Arabidopsis thaliana Proteins for Eukaryotic Structural Genomics. Journal of Structural and Functional Genomics. 6(2-3). 143–147. 56 indexed citations
18.
McCombs, Janet E.. (1995). Update on Tocolytic Therapy. Annals of Pharmacotherapy. 29(5). 515–522. 15 indexed citations
19.
McCombs, Janet E.. (1995). Pharmacology of the Contraceptive Steroids. Annals of Pharmacotherapy. 29(2). 203–203. 10 indexed citations
20.
Parish, Roy C., et al.. (1993). Opinions Relating Professional Competencies and Curricular Needs. American Journal of Pharmaceutical Education. 57(4). 325–330. 5 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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