Jennifer Cobb

883 total citations
10 papers, 281 citations indexed

About

Jennifer Cobb is a scholar working on Molecular Biology, Spectroscopy and Ecology. According to data from OpenAlex, Jennifer Cobb has authored 10 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Spectroscopy and 3 papers in Ecology. Recurrent topics in Jennifer Cobb's work include Mass Spectrometry Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Bacteriophages and microbial interactions (2 papers). Jennifer Cobb is often cited by papers focused on Mass Spectrometry Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Bacteriophages and microbial interactions (2 papers). Jennifer Cobb collaborates with scholars based in United States, Italy and Switzerland. Jennifer Cobb's co-authors include Jeffrey N. Agar, Michael L. Easterling, Kangkang Song, Mary E. Porter, Daniela Nicastro, Douglas Tritschler, Cynthia F. Barber, Jianfeng Lin, Martin Allan and Aimee Usera and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Chemical Biology.

In The Last Decade

Jennifer Cobb

10 papers receiving 276 citations

Peers

Jennifer Cobb

MB

SPECT

CB

GENET

OC

She Chen China

Aline Le Roy France

Dariya K. Sydykova United States

Matthew Tien United States

Amelia Still United States

Eric M. Towler United States

Zsófia Sólyom France

Zainab Ahdash United Kingdom

Joachim Vogt Germany

She Chen China

Jennifer Cobb

259 ×1.4

MB

91 ×1.4

SPECT

26 ×0.6

CB

52 ×1.2

GENET

67 ×1.6

OC

Citations per year, relative to Jennifer Cobb Jennifer Cobb (= 1×) peers She Chen

Countries citing papers authored by Jennifer Cobb

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Cobb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Cobb. 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 Jennifer Cobb. The network helps show where Jennifer Cobb may publish in the future.

Co-authorship network of co-authors of Jennifer Cobb

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

All Works

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10 of 10 papers shown

1.

Tutter, Antonin, Dennis L. Buckley, Andrei A. Golosov, et al.. (2025). A small-molecule VHL molecular glue degrader for cysteine dioxygenase 1. Nature Chemical Biology. 21(11). 1688–1696. 9 indexed citations

2.

Voß, Oliver, Jennifer Cobb, Natalia Díaz‐Garrido, et al.. (2022). Pathogenic, but Not Nonpathogenic, Rickettsia spp. Evade Inflammasome-Dependent IL-1 Responses To Establish an Intracytosolic Replication Niche. mBio. 13(1). e0291821–e0291821. 10 indexed citations

3.

Stefanetti, Giuseppe, Qiying Hu, Aimee Usera, et al.. (2015). Sugar–Protein Connectivity Impacts on the Immunogenicity of Site‐Selective Salmonella O‐Antigen Glycoconjugate Vaccines. Angewandte Chemie International Edition. 54(45). 13198–13203. 60 indexed citations

4.

Stefanetti, Giuseppe, Qiying Hu, Aimee Usera, et al.. (2015). Sugar–Protein Connectivity Impacts on the Immunogenicity of Site‐Selective Salmonella O‐Antigen Glycoconjugate Vaccines. Angewandte Chemie. 127(45). 13396–13401. 9 indexed citations

5.

Nilo, Alberto, Monica Fabbrini, Martin Allan, et al.. (2015). Exploring the Effect of Conjugation Site and Chemistry on the Immunogenicity of an anti-Group B Streptococcus Glycoconjugate Vaccine Based on GBS67 Pilus Protein and Type V Polysaccharide. Bioconjugate Chemistry. 26(8). 1839–1849. 36 indexed citations

6.

Liu, Qian, Jennifer Cobb, Joshua L. Johnson, Qilan Wang, & Jeffrey N. Agar. (2013). Performance Comparisons of Nano-LC Systems, Electrospray Sources and LC–MS-MS Platforms. Journal of Chromatographic Science. 52(2). 120–127. 14 indexed citations

7.

Lin, Jianfeng, Douglas Tritschler, Kangkang Song, et al.. (2011). Building Blocks of the Nexin-Dynein Regulatory Complex in Chlamydomonas Flagella. Journal of Biological Chemistry. 286(33). 29175–29191. 76 indexed citations

8.

Li, Long, et al.. (2010). Memory‐efficient calculation of the isotopic mass states of a molecule. Rapid Communications in Mass Spectrometry. 24(18). 2689–2696. 8 indexed citations

9.

Cobb, Jennifer, Michael L. Easterling, & Jeffrey N. Agar. (2010). Structural characterization of intact proteins is enhanced by prevalent fragmentation pathways rarely observed for peptides. Journal of the American Society for Mass Spectrometry. 21(6). 949–959. 38 indexed citations

10.

Li, Long, et al.. (2008). A hierarchical algorithm for calculating the isotopic fine structures of molecules. Journal of the American Society for Mass Spectrometry. 19(12). 1867–1874. 21 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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