Eli Silvert

789 total citations
14 papers, 110 citations indexed

About

Eli Silvert is a scholar working on Infectious Diseases, Molecular Biology and Health. According to data from OpenAlex, Eli Silvert has authored 14 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 4 papers in Molecular Biology and 2 papers in Health. Recurrent topics in Eli Silvert's work include SARS-CoV-2 and COVID-19 Research (7 papers), vaccines and immunoinformatics approaches (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). Eli Silvert is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (7 papers), vaccines and immunoinformatics approaches (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). Eli Silvert collaborates with scholars based in United States and Switzerland. Eli Silvert's co-authors include Venky Soundararajan, John C. O’Horo, Patrick J. Lenehan, Andrew D. Badley, AJ Venkatakrishnan, Melanie D. Swift, Michiel J.M. Niesen, John Halamka, Arjun Puranik and Abinash Virk and has published in prestigious journals such as Blood, Scientific Reports and CHEST Journal.

In The Last Decade

Eli Silvert

9 papers receiving 108 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eli Silvert United States 6 89 31 16 16 15 14 110
Madison Shyer United States 4 141 1.6× 19 0.6× 28 1.8× 16 1.0× 14 0.9× 7 173
Kristina Reppond United States 3 141 1.6× 18 0.6× 27 1.7× 16 1.0× 14 0.9× 3 165
Rashi M. Thakur United States 3 117 1.3× 17 0.5× 20 1.3× 8 0.5× 9 0.6× 3 141
Akanksha Batajoo United States 3 118 1.3× 16 0.5× 20 1.3× 8 0.5× 9 0.6× 3 141
Ryan Gadd United States 2 117 1.3× 16 0.5× 20 1.3× 8 0.5× 9 0.6× 3 138
Sheng Long United States 5 110 1.2× 13 0.4× 25 1.6× 6 0.4× 13 0.9× 11 158
Sebastian Einhauser Germany 8 121 1.4× 15 0.5× 31 1.9× 19 1.2× 12 0.8× 14 146
John K. C. Li China 2 206 2.3× 43 1.4× 33 2.1× 39 2.4× 7 0.5× 2 214
Emily Degli-Angeli United States 4 145 1.6× 17 0.5× 31 1.9× 11 0.7× 18 1.2× 4 154
Franziska Neumann Germany 5 106 1.2× 13 0.4× 20 1.3× 11 0.7× 20 1.3× 9 130

Countries citing papers authored by Eli Silvert

Since Specialization
Citations

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

Fields of papers citing papers by Eli Silvert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eli Silvert

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

All Works

14 of 14 papers shown
1.
Chumsri, Saranya, et al.. (2025). 468P Utilizing natural language processing to examine adverse events in HER2+ breast cancer patients. ESMO Open. 10. 105040–105040.
2.
Venkateswaran, Sriram, Antonio Santo, Eli Silvert, et al.. (2024). Identification and Characterization of Immune Checkpoint Inhibitor–Induced Toxicities From Electronic Health Records Using Natural Language Processing. JCO Clinical Cancer Informatics. 8(8). e2300151–e2300151. 6 indexed citations
3.
Comba, Işın Y., Eli Silvert, Michiel J.M. Niesen, et al.. (2024). A deep learning approach predicting the activity of COVID-19 therapeutics and vaccines against emerging variants. npj Systems Biology and Applications. 10(1). 138–138.
4.
5.
6.
Venkatakrishnan, AJ, Praveen Anand, Patrick J. Lenehan, et al.. (2023). Expanding repertoire of SARS-CoV-2 deletion mutations contributes to evolution of highly transmissible variants. Scientific Reports. 13(1). 257–257. 3 indexed citations
7.
Sikirica, Vanja, Eli Silvert, Ruchira Glaser, et al.. (2023). Retrospective study of propionic acidemia using natural language processing in Mayo Clinic electronic health record data. Molecular Genetics and Metabolism. 140(3). 107695–107695.
8.
Soefje, Scott A., Ediz S. Calay, Yi Lin, et al.. (2023). Real-World Treatment Outcomes of Teclistamab Under an Outpatient Model for Step-up Dosing Administration. Blood. 142(Supplement 1). 5154–5154. 6 indexed citations
9.
Block, Matthew S., et al.. (2023). The role of natural language processing techniques versus conventional methods to gain ICI safety insights from unstructured EHR data.. JCO Global Oncology. 9(Supplement_1). 136–136. 1 indexed citations
10.
Pawlowski, Colin, Eli Silvert, John C. O’Horo, et al.. (2022). SARS-CoV-2 and influenza coinfection throughout the COVID-19 pandemic: an assessment of coinfection rates, cohort characteristics, and clinical outcomes. PNAS Nexus. 1(3). pgac071–pgac071. 11 indexed citations
11.
Niesen, Michiel J.M., Colin Pawlowski, John C. O’Horo, et al.. (2022). Surveillance of Safety of 3 Doses of COVID-19 mRNA Vaccination Using Electronic Health Records. JAMA Network Open. 5(4). e227038–e227038. 20 indexed citations
12.
Puranik, Arjun, Patrick J. Lenehan, Eli Silvert, et al.. (2021). Comparative effectiveness of mRNA-1273 and BNT162b2 against symptomatic SARS-CoV-2 infection. Med. 3(1). 28–41.e8. 22 indexed citations
13.
14.
Puranik, Arjun, Patrick J. Lenehan, Eli Silvert, et al.. (2021). Comparison of Two Highly-Effective mRNA Vaccines for COVID-19 During Periods of Alpha and Delta Variant Prevalence. SSRN Electronic Journal. 40 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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