Christopher E. Gillies

8.0k total citations
28 papers, 336 citations indexed

About

Christopher E. Gillies is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, Christopher E. Gillies has authored 28 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Nephrology and 7 papers in Genetics. Recurrent topics in Christopher E. Gillies's work include Renal Diseases and Glomerulopathies (7 papers), Sepsis Diagnosis and Treatment (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Christopher E. Gillies is often cited by papers focused on Renal Diseases and Glomerulopathies (7 papers), Sepsis Diagnosis and Treatment (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Christopher E. Gillies collaborates with scholars based in United States, South Africa and India. Christopher E. Gillies's co-authors include Matthew G. Sampson, Kevin R. Ward, Catherine C. Robertson, Virginia Vega-Warner, Edgar A. Otto, Michael W. Sjoding, Matthias Kretzler, Sardar Ansari, Hyun Min Kang and Ruchi Sharma and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Bioinformatics.

In The Last Decade

Christopher E. Gillies

25 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher E. Gillies United States 11 112 84 64 51 50 28 336
Sana Waheed United States 12 126 1.1× 79 0.9× 59 0.9× 49 1.0× 59 1.2× 32 504
Eiichiro Uchino Japan 10 98 0.9× 142 1.7× 27 0.4× 10 0.2× 50 1.0× 25 385
Lasith Adhikari United States 8 36 0.3× 46 0.5× 52 0.8× 77 1.5× 60 1.2× 22 297
Van Selby United States 11 62 0.6× 201 2.4× 75 1.2× 27 0.5× 235 4.7× 33 678
Marco Leonelli Italy 11 137 1.2× 123 1.5× 20 0.3× 7 0.1× 48 1.0× 19 392
Marcus A. Urey United States 7 40 0.4× 119 1.4× 63 1.0× 26 0.5× 26 0.5× 32 458
Louis Lind Plesner Denmark 10 40 0.4× 24 0.3× 39 0.6× 21 0.4× 75 1.5× 22 291
Gerhard Pölzl Austria 13 17 0.2× 84 1.0× 77 1.2× 106 2.1× 48 1.0× 64 528
Rebecca V. Levy United States 8 148 1.3× 40 0.5× 47 0.7× 12 0.2× 22 0.4× 11 375

Countries citing papers authored by Christopher E. Gillies

Since Specialization
Citations

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

Fields of papers citing papers by Christopher E. Gillies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher E. Gillies

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher E. Gillies. A scholar is included among the top collaborators of Christopher E. Gillies 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 Christopher E. Gillies. Christopher E. Gillies 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.
Joseph, Tyler, Joelle Mbatchou, Arkopravo Ghosh, et al.. (2025). Computationally efficient meta-analysis of gene-based tests using summary statistics in large-scale genetic studies. Nature Genetics. 57(12). 3193–3200.
2.
Murray, Heather, et al.. (2024). Physician incivility in the health care workplace. Canadian Medical Association Journal. 196(9). E295–E295.
3.
Gillies, Christopher E., Andrew J. Admon, Richard P. Medlin, et al.. (2023). External Validation and Comparison of a General Ward Deterioration Index Between Diversely Different Health Systems. Critical Care Medicine. 51(6). 775–786. 10 indexed citations
4.
Ansari, Sardar, Richard P. Medlin, Steven L. Kronick, et al.. (2021). Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods. JMIR Medical Informatics. 9(4). e25066–e25066. 18 indexed citations
5.
Sjoding, Michael W., Elizabeth Lee, Ivan Co, et al.. (2021). Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation. The Lancet Digital Health. 3(6). e340–e348. 51 indexed citations
6.
Sharma, Ruchi, Menglian Zhou, Mohamad Hakam Tiba, et al.. (2021). Breath analysis for detection and trajectory monitoring of acute respiratory distress syndrome in swine. ERJ Open Research. 8(1). 154–2021. 4 indexed citations
7.
Puskarich, Michael A., Christopher E. Gillies, Charles R. Evans, et al.. (2021). Pharmacometabolomics identifies candidate predictor metabolites of an L‐carnitine treatment mortality benefit in septic shock. Clinical and Translational Science. 14(6). 2288–2299. 15 indexed citations
8.
Gillies, Christopher E., et al.. (2020). Demonstrating the consequences of learning missingness patterns in early warning systems for preventative health care: A novel simulation and solution. Journal of Biomedical Informatics. 110. 103528–103528. 9 indexed citations
9.
10.
Nihalani, Deepak, Ashish K. Solanki, Ehtesham Arif, et al.. (2019). Disruption of the exocyst induces podocyte loss and dysfunction. Journal of Biological Chemistry. 294(26). 10104–10119. 16 indexed citations
11.
Zhou, Menglian, Ruchi Sharma, Hongbo Zhu, et al.. (2019). Rapid breath analysis for acute respiratory distress syndrome diagnostics using a portable two-dimensional gas chromatography device. Analytical and Bioanalytical Chemistry. 411(24). 6435–6447. 43 indexed citations
12.
Bhimma, Rajendra, Victor A. David, Hoosen Coovadia, et al.. (2018). NPHS2 V260E Is a Frequent Cause of Steroid-Resistant Nephrotic Syndrome in Black South African Children. Kidney International Reports. 3(6). 1354–1362. 14 indexed citations
13.
Gillies, Christopher E., Edgar A. Otto, Virginia Vega-Warner, et al.. (2016). tarSVM: Improving the accuracy of variant calls derived from microfluidic PCR-based targeted next generation sequencing using a support vector machine. BMC Bioinformatics. 17(1). 233–233. 1 indexed citations
14.
Gillies, Christopher E., et al.. (2016). Evaluating Mendelian nephrotic syndrome genes for evidence for risk alleles or oligogenicity that explain heritability. Pediatric Nephrology. 32(3). 467–476. 6 indexed citations
15.
Sára, Levente, Virginia Vega-Warner, Christopher E. Gillies, et al.. (2015). Whole Exome Sequencing Reveals Novel PHEX Splice Site Mutations in Patients with Hypophosphatemic Rickets. PLoS ONE. 10(6). e0130729–e0130729. 31 indexed citations
16.
Sampson, Matthew G., Christopher E. Gillies, Catherine C. Robertson, et al.. (2015). Using Population Genetics to Interrogate the Monogenic Nephrotic Syndrome Diagnosis in a Case Cohort. Journal of the American Society of Nephrology. 27(7). 1970–1983. 23 indexed citations
17.
Gillies, Christopher E., et al.. (2013). A simulation to analyze feature selection methods utilizing gene ontology for gene expression classification. Journal of Biomedical Informatics. 46(6). 1044–1059. 10 indexed citations
18.
Sampson, Matthew G., Christopher E. Gillies, Wenjun Ju, Matthias Kretzler, & Hyun Min Kang. (2013). Gene-level Integrated Metric of negative Selection (GIMS) Prioritizes Candidate Genes for Nephrotic Syndrome. PLoS ONE. 8(11). e81062–e81062. 5 indexed citations
19.
Gillies, Christopher E., et al.. (2012). Improved Feature Selection by Incorporating Gene Similarity Into the LASSO. 1. 41–48. 2 indexed citations
20.
Gillies, Christopher E., et al.. (2011). GENE ONTOLOGY BASED SIMULATION FOR FEATURE SELECTION. 286–294. 1 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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