Lara Bull–Otterson
- Infectious Diseases top 2%
- Epidemiology top 5%
- Neurology top 5%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Co-authors
- Tegan K. BoehmerAaron M. HarrisSharon SaydahSarah BacaStacey AdjeiSimone C. GrayAdi V. GundlapalliLu‐Yu Hwang
- Topics
- COVID-19 Clinical Research Studies (7 papers)COVID-19 and healthcare impacts (4 papers)HIV Research and Treatment (3 papers)
- Partner nations
- United States
In The Last Decade
Lara Bull–Otterson
22 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Infectious Diseases 619
- Epidemiology 549
- Neurology 343
- Molecular Biology 335
- Pathology and Forensic Medicine 209
Countries citing papers authored by Lara Bull–Otterson
This map shows the geographic impact of Lara Bull–Otterson'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 Lara Bull–Otterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lara Bull–Otterson more than expected).
Fields of papers citing papers by Lara Bull–Otterson
This network shows the impact of papers produced by Lara Bull–Otterson. 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 Lara Bull–Otterson. The network helps show where Lara Bull–Otterson may publish in the future.
Co-authorship network of co-authors of Lara Bull–Otterson
This figure shows the co-authorship network connecting the top 25 collaborators of Lara Bull–Otterson. A scholar is included among the top collaborators of Lara Bull–Otterson 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 Lara Bull–Otterson. Lara Bull–Otterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 14 | |
| 5 | Post–COVID Conditions Among Adult COVID-19 Survivors Aged 18–64 and ≥65 Years — United States, March 2020–November 2021breakdown → | 220 |
| 6 | Post–COVID-19 Symptoms and Conditions Among Children and Adolescents — United States, March 1, 2020–January 31, 2022breakdown → | 100 |
| 7 | Risk for Newly Diagnosed Diabetes >30 Days After SARS-CoV-2 Infection Among Persons Aged <18 Years — United States, March 1, 2020–June 28, 2021breakdown → | 175 |
| 8 | 60 | |
| 9 | 40 | |
| 10 | 47 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | Metagenomic Analyses of Alcohol Induced Pathogenic Alterations in the Intestinal Microbiome and the Effect of Lactobacillus rhamnosus GG Treatmentbreakdown → | 432 |
| 14 | 4 | |
| 15 | 24 | |
| 16 | 25 | |
| 17 | 4 | |
| 18 | 35 | |
| 19 | 33 | |
| 20 | 102 |
About Lara Bull–Otterson
Lara Bull–Otterson is a scholar working on Infectious Diseases, Virology and Hepatology, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), COVID-19 and healthcare impacts (4 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Infectious Diseases (619 citations), Biological Psychiatry (59 citations) and Neurology (343 citations). Lara Bull–Otterson has collaborated with scholars based in United States. Frequent co-authors include Tegan K. Boehmer, Aaron M. Harris, Sharon Saydah, Sarah Baca, Stacey Adjei, Simone C. Gray, Adi V. Gundlapalli, Lu‐Yu Hwang, David Barker and Joseph F. Petrosino. Their work appears in journals such as PLoS ONE, Hepatology and Clinical Infectious Diseases.
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.