Chris Bailey‐Kellogg

5.3k citations
133 papers · 3.1k · h-index 32

Impact in

Papers in

    • Protein Structure and Dynamics 40
    • vaccines and immunoinformatics approaches 30
    • Glycosylation and Glycoproteins Research 12
    • Microbial Metabolic Engineering and Bioproduction 12
    • RNA and protein synthesis mechanisms 11
    • Monoclonal and Polyclonal Antibodies Research 37

Chris Bailey‐Kellogg

130 papers receiving 3.1k citations

Peers

Chris Bailey‐Kellogg
Comparison fields: 5 of 147
  • Virology 391
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Immunology 887
  • Molecular Biology 1.9k
  • Biotechnology 216
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Citations per field
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Citations per year

Countries citing papers authored by Chris Bailey‐Kellogg

Since Specialization
Citations

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

Fields of papers citing papers by Chris Bailey‐Kellogg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Bailey‐Kellogg. 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 Chris Bailey‐Kellogg. The network helps show where Chris Bailey‐Kellogg may publish in the future.

Co-authors

The 25 scholars most cited alongside Chris Bailey‐Kellogg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chris Bailey‐Kellogg Line = papers co-authored together Chris Bailey‐Kellogg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013286
2 2016187
3 2012129
4 2017113
5 2014100
6 202093
7 201387
8 200078
9 202171
10 201564
11 201262
12 200855
13 201451
14 201349
15 201548
16 201045
17 201644
18 200543
19 201043
20 202041

About Chris Bailey‐Kellogg

Chris Bailey‐Kellogg is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Materials Chemistry and Artificial Intelligence, having authored 133 papers that have together received 3.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (40 papers), Monoclonal and Polyclonal Antibodies Research (37 papers), vaccines and immunoinformatics approaches (30 papers), Enzyme Structure and Function (18 papers), Glycosylation and Glycoproteins Research (12 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), RNA and protein synthesis mechanisms (11 papers) and Transgenic Plants and Applications (9 papers). The work is most often cited by research in Virology (391 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Immunology (887 citations), Molecular Biology (1.9k citations) and Biotechnology (216 citations). Chris Bailey‐Kellogg has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Karl E. Griswold, Margaret E. Ackerman, Galit Alter, Yoonjoo Choi, Naren Ramakrishnan, Eric P. Brown, Andrew S. Parker, Srivamshi Pittala, Ickwon Choi and Karen Dowell. Their work appears in journals such as Journal of Computational Biology, Bioinformatics, Proteins Structure Function and Bioinformatics, BMC Bioinformatics and PLoS Computational Biology.

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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