Lauren Zimmermann
- Neurology top 2%
- Clinical Psychology top 5%
- Infectious Diseases top 5%
- Critical Care and Intensive Care Medicine top 2%
- Psychiatry and Mental health top 10%
- Co-authors
- Bhramar MukherjeeXu ShiChen ChenLars G. FritscheGiridhara R. BabuNadia Al‐DajaniVictor HongInbal Nahum‐Shani
- Topics
- COVID-19 epidemiological studies (6 papers)COVID-19 Pandemic Impacts (6 papers)COVID-19 Clinical Research Studies (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of Public HealthThe Journal of Infectious Diseases
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
Lauren Zimmermann
6 papers receiving 828 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Neurology 685
- Clinical Psychology 354
- Infectious Diseases 310
- Critical Care and Intensive Care Medicine 191
- Psychiatry and Mental health 146
Countries citing papers authored by Lauren Zimmermann
This map shows the geographic impact of Lauren Zimmermann'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 Lauren Zimmermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren Zimmermann more than expected).
Fields of papers citing papers by Lauren Zimmermann
This network shows the impact of papers produced by Lauren Zimmermann. 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 Lauren Zimmermann. The network helps show where Lauren Zimmermann may publish in the future.
Co-authorship network of co-authors of Lauren Zimmermann
This figure shows the co-authorship network connecting the top 25 collaborators of Lauren Zimmermann. A scholar is included among the top collaborators of Lauren Zimmermann 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 Lauren Zimmermann. Lauren Zimmermann 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 | 17 | |
| 3 | 0 | |
| 4 | Global Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Reviewbreakdown → | 790 |
| 5 | 15 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 19 |
About Lauren Zimmermann
Lauren Zimmermann is a scholar working on Modeling and Simulation, Economics and Econometrics and Applied Psychology, having authored 8 papers that have together received 847 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), COVID-19 Pandemic Impacts (6 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Neurology (685 citations), Critical Care and Intensive Care Medicine (191 citations) and Clinical Psychology (354 citations). Lauren Zimmermann has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Bhramar Mukherjee, Xu Shi, Chen Chen, Lars G. Fritsche, Giridhara R. Babu, Nadia Al‐Dajani, Victor Hong, Inbal Nahum‐Shani, Ewa K. Czyz and Cheryl A. King. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Public Health and The Journal of 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.