Chris Bailey‐Kellogg

5.2k total citations
125 papers, 3.0k citations indexed

About

Chris Bailey‐Kellogg is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Chris Bailey‐Kellogg has authored 125 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 42 papers in Radiology, Nuclear Medicine and Imaging and 26 papers in Immunology. Recurrent topics in Chris Bailey‐Kellogg's work include Monoclonal and Polyclonal Antibodies Research (40 papers), Protein Structure and Dynamics (39 papers) and vaccines and immunoinformatics approaches (28 papers). Chris Bailey‐Kellogg is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (40 papers), Protein Structure and Dynamics (39 papers) and vaccines and immunoinformatics approaches (28 papers). Chris Bailey‐Kellogg collaborates with scholars based in United States, United Kingdom and South Korea. Chris Bailey‐Kellogg's co-authors include Karl E. Griswold, Margaret E. Ackerman, Galit Alter, Yoonjoo Choi, Naren Ramakrishnan, Eric P. Brown, Andrew S. Parker, Srivamshi Pittala, Leonard Moise and Ickwon Choi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Bioinformatics.

In The Last Decade

Chris Bailey‐Kellogg

123 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Bailey‐Kellogg United States 32 1.8k 1.1k 972 423 293 125 3.0k
Kevin Wiehe United States 18 2.0k 1.1× 500 0.5× 637 0.7× 425 1.0× 637 2.2× 43 3.1k
Paolo Marcatili Denmark 31 4.0k 2.2× 1.6k 1.5× 1.8k 1.8× 140 0.3× 761 2.6× 78 5.3k
Kathryn A. Porter United States 9 2.3k 1.3× 479 0.4× 471 0.5× 95 0.2× 437 1.5× 12 3.1k
Ivelin S. Georgiev United States 29 1.5k 0.8× 822 0.8× 1.1k 1.1× 1.6k 3.7× 934 3.2× 76 3.3k
Gwo‐Yu Chuang United States 25 1.2k 0.7× 460 0.4× 443 0.5× 573 1.4× 408 1.4× 44 2.0k
Christine Yueh United States 8 2.2k 1.2× 472 0.4× 449 0.5× 94 0.2× 429 1.5× 9 2.9k
Dzmitry Padhorny United States 9 1.8k 1.0× 381 0.4× 374 0.4× 79 0.2× 349 1.2× 20 2.4k
Swapnil Mahajan United States 13 2.0k 1.1× 701 0.7× 1.0k 1.1× 68 0.2× 585 2.0× 26 2.6k
Cary Queen United States 29 2.7k 1.4× 1.2k 1.1× 1.2k 1.3× 132 0.3× 167 0.6× 47 4.3k
Drena Dobbs United States 34 4.2k 2.3× 477 0.4× 385 0.4× 72 0.2× 218 0.7× 83 4.9k

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-authorship network of co-authors of Chris Bailey‐Kellogg

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Bailey‐Kellogg. A scholar is included among the top collaborators of Chris Bailey‐Kellogg 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 Chris Bailey‐Kellogg. Chris Bailey‐Kellogg 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.
Pittala, Srivamshi & Chris Bailey‐Kellogg. (2020). Learning context-aware structural representations to predict antigen and antibody binding interfaces. Bioinformatics. 36(13). 3996–4003. 90 indexed citations
2.
Choi, Yoonjoo, et al.. (2020). Computer-guided binding mode identification and affinity improvement of an LRR protein binder without structure determination. PLoS Computational Biology. 16(8). e1008150–e1008150. 4 indexed citations
3.
Gutiérrez, Andrés H., William Martin, Chris Bailey‐Kellogg, et al.. (2015). Development and validation of an epitope prediction tool for swine (PigMatrix) based on the pocket profile method. BMC Bioinformatics. 16(1). 290–290. 21 indexed citations
4.
Zhao, Hongliang, Deeptak Verma, Wen Li, et al.. (2015). Depletion of T Cell Epitopes in Lysostaphin Mitigates Anti-Drug Antibody Response and Enhances Antibacterial Efficacy In Vivo. Chemistry & Biology. 22(5). 629–639. 47 indexed citations
5.
Chung, Amy W., Max Crispin, Laura K. Pritchard, et al.. (2014). Identification of antibody glycosylation structures that predict monoclonal antibody Fc-effector function. AIDS. 28(17). 2523–2530. 98 indexed citations
6.
Ackerman, Margaret E., Max Crispin, Xiaojie Yu, et al.. (2013). Natural variation in Fc glycosylation of HIV-specific antibodies impacts antiviral activity. Journal of Clinical Investigation. 123(5). 2183–2192. 279 indexed citations
7.
He, Lu, Alan M. Friedman, & Chris Bailey‐Kellogg. (2012). Algorithms for optimizing cross-overs in DNA shuffling. BMC Bioinformatics. 13(S3). S3–S3. 14 indexed citations
8.
Parker, Alexander S., et al.. (2012). Design and analysis of immune-evading enzymes for ADEPT therapy. Protein Engineering Design and Selection. 25(10). 613–624. 33 indexed citations
9.
Parker, Andrew S., Karl E. Griswold, & Chris Bailey‐Kellogg. (2011). Optimization of Combinatorial Mutagenesis. Journal of Computational Biology. 18(11). 1743–1756. 23 indexed citations
10.
Martin, Jeffrey W., et al.. (2011). A Geometric Arrangement Algorithm for Structure Determination of Symmetric Protein Homo-Oligomers from NOEs and RDCs. Journal of Computational Biology. 18(11). 1507–1523. 6 indexed citations
11.
12.
Xiong, Fei, Alan M. Friedman, & Chris Bailey‐Kellogg. (2011). Planning combinatorial disulfide cross-links for protein fold determination. BMC Bioinformatics. 12(S12). S5–S5. 1 indexed citations
13.
Smith, Peter A., et al.. (2006). Site‐directed combinatorial construction of chimaeric genes: General method for optimizing assembly of gene fragments. Proteins Structure Function and Bioinformatics. 64(3). 629–642. 13 indexed citations
14.
Vitek, Olga, Chris Bailey‐Kellogg, Bruce Α. Craig, & Jan Vítek. (2006). Inferential backbone assignment for sparse data. Journal of Biomolecular NMR. 35(3). 187–208. 11 indexed citations
15.
Ramakrishnan, Naren, et al.. (2005). Gaussian Processes for Active Data Mining of Spatial Aggregates. 427–438. 40 indexed citations
16.
Bailey‐Kellogg, Chris & Naren Ramakrishnan. (2004). Spatial aggregation for qualitative assessment of scientific computations. National Conference on Artificial Intelligence. 585–591. 2 indexed citations
17.
Vitek, Olga, Jan Vítek, Bruce Α. Craig, & Chris Bailey‐Kellogg. (2004). Model-Based Assignment and Inference of Protein Backbone Nuclear Magnetic Resonances. Statistical Applications in Genetics and Molecular Biology. 3(1). 1–33. 9 indexed citations
18.
Yi, Zhengping, et al.. (2004). Analysis of sequence–reactivity space for protein–protein interactions. Proteins Structure Function and Bioinformatics. 58(3). 661–671. 8 indexed citations
19.
Ramakrishnan, Naren & Chris Bailey‐Kellogg. (2003). Gaussian process models of spatial aggregation algorithms. International Joint Conference on Artificial Intelligence. 1045–1051. 1 indexed citations
20.
Bailey‐Kellogg, Chris & Naren Ramakrishnan. (2001). Ambiguity-directed sampling for qualitative analysis of sparse data from spatially-distributed physical systems. International Joint Conference on Artificial Intelligence. 43–50. 8 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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