David Sahner

875 total citations
10 papers, 285 citations indexed

About

David Sahner is a scholar working on Infectious Diseases, Virology and Molecular Biology. According to data from OpenAlex, David Sahner has authored 10 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 3 papers in Virology and 2 papers in Molecular Biology. Recurrent topics in David Sahner's work include HIV Research and Treatment (3 papers), COVID-19 Clinical Research Studies (3 papers) and Diabetes and associated disorders (2 papers). David Sahner is often cited by papers focused on HIV Research and Treatment (3 papers), COVID-19 Clinical Research Studies (3 papers) and Diabetes and associated disorders (2 papers). David Sahner collaborates with scholars based in United States, Italy and Puerto Rico. David Sahner's co-authors include Richard T. Davey, H. Clifford Lane, William B. Capra, Steven Boswell, Francesco Graziano, James O. Kahn, Robert L. Murphy, Jeffrey P. Nadler, Doreen Chaitt and Martin Giedlin and has published in prestigious journals such as JAMA, Blood and Clinical Infectious Diseases.

In The Last Decade

David Sahner

10 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Sahner United States 7 198 150 101 67 53 10 285
Fernanda Heloise Côrtes Brazil 8 152 0.8× 120 0.8× 60 0.6× 34 0.5× 39 0.7× 23 197
Heather A. Pilch-Cooper United States 7 237 1.2× 122 0.8× 159 1.6× 83 1.2× 116 2.2× 8 351
Routy Jp Canada 10 266 1.3× 209 1.4× 133 1.3× 64 1.0× 63 1.2× 20 409
Richard Loftus United States 6 460 2.3× 434 2.9× 124 1.2× 93 1.4× 76 1.4× 12 600
Randall Tressler United States 7 239 1.2× 219 1.5× 46 0.5× 75 1.1× 90 1.7× 11 327
Kawthar Machmach Spain 11 236 1.2× 92 0.6× 209 2.1× 86 1.3× 40 0.8× 20 346
Jane Shull United States 7 255 1.3× 184 1.2× 91 0.9× 50 0.7× 57 1.1× 8 324
Erin A. Goecker United States 5 120 0.6× 210 1.4× 48 0.5× 40 0.6× 12 0.2× 17 262
Emily S. Ryan United States 5 246 1.2× 120 0.8× 158 1.6× 74 1.1× 44 0.8× 5 295
Prossy Naluyima United States 6 67 0.3× 68 0.5× 70 0.7× 67 1.0× 17 0.3× 15 163

Countries citing papers authored by David Sahner

Since Specialization
Citations

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

Fields of papers citing papers by David Sahner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Sahner

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

All Works

10 of 10 papers shown
1.
2.
Sidky, Hythem, Kristen Hansen, Andrew T. Girvin, et al.. (2024). Assessing the effect of selective serotonin reuptake inhibitors in the prevention of post-acute sequelae of COVID-19. Computational and Structural Biotechnology Journal. 24. 115–125. 9 indexed citations
3.
Yadaw, Arjun S., David Sahner, Hythem Sidky, et al.. (2023). Preexisting Autoimmunity Is Associated With Increased Severity of Coronavirus Disease 2019: A Retrospective Cohort Study Using Data From the National COVID Cohort Collaborative (N3C). Clinical Infectious Diseases. 77(6). 816–826. 6 indexed citations
4.
Sidky, Hythem, Jessica C. Young, Andrew T. Girvin, et al.. (2023). Data quality considerations for evaluating COVID-19 treatments using real world data: learnings from the National COVID Cohort Collaborative (N3C). BMC Medical Research Methodology. 23(1). 46–46. 7 indexed citations
5.
Chan, Lauren, Elena Casiraghi, Bryan Laraway, et al.. (2022). Metformin is associated with reduced COVID-19 severity in patients with prediabetes. Diabetes Research and Clinical Practice. 194. 110157–110157. 12 indexed citations
6.
7.
Marcantonio, Annette, Alan R. Kugler, David Sahner, et al.. (2007). A Randomized, Placebo-Controlled, Dose-Escalation, Phase 1 Study of the Safety and Pharmacokinetics of Amphotericin B Inhalation Powder in Healthy Subjects.. Blood. 110(11). 4988–4988. 2 indexed citations
8.
Kilby, J Michael, R. Pat Bucy, Donna Mildvan, et al.. (2006). A Randomized, Partially Blinded Phase 2 Trial of Antiretroviral Therapy, HIV‐Specific Immunizations, and Interleukin‐2 Cycles to Promote Efficient Control of Viral Replication (ACTG A5024). The Journal of Infectious Diseases. 194(12). 1672–1676. 60 indexed citations
9.
Valdez, Hernán, Ronald T. Mitsuyasu, Alan Landay, et al.. (2003). Interleukin‐2 Increases CD4+Lymphocyte Numbers but Does Not Enhance Responses to Immunization: Results of A5046s. The Journal of Infectious Diseases. 187(2). 320–325. 43 indexed citations
10.
Davey, Richard T., Robert L. Murphy, Francesco Graziano, et al.. (2000). Immunologic and Virologic Effects of Subcutaneous Interleukin 2 in Combination With Antiretroviral Therapy. JAMA. 284(2). 183–183. 138 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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2026