Lawrence E. Eisenstein
Impact in
-
- Antimicrobial Resistance in Staphylococcus
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 10
- Infective Endocarditis Diagnosis and Management 5
- Herpesvirus Infections and Treatments 2
- Data-Driven Disease Surveillance 1
-
- Antimicrobial Resistance in Staphylococcus 3
- Viral gastroenteritis research and epidemiology 1
- Co-authors
- Burke A. Cunha (12 shared papers)Burke A. Cunha (2 shared papers)Jeffrey Todd Berger (1 shared paper)Simcha Z Pollack (1 shared paper)Diane Johnson (1 shared paper)
- Journals
- Heart & Lung (9 papers)Clinical Infectious Diseases (2 papers)Infection Control and Hospital Epidemiology (1 paper)Journal of Hospital Infection (1 paper)The American Journal of Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
Lawrence E. Eisenstein
16 papers receiving 351 citations
Peers
Comparison fields: 5 of 67
- Infectious Diseases 128
- Modeling and Simulation 32
- Clinical Biochemistry 41
- Applied Microbiology and Biotechnology 9
- Molecular Medicine 17
Countries citing papers authored by Lawrence E. Eisenstein
This map shows the geographic impact of Lawrence E. Eisenstein'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 Lawrence E. Eisenstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence E. Eisenstein more than expected).
Fields of papers citing papers by Lawrence E. Eisenstein
This network shows the impact of papers produced by Lawrence E. Eisenstein. 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 Lawrence E. Eisenstein. The network helps show where Lawrence E. Eisenstein may publish in the future.
Co-authors
The 5 scholars most cited alongside Lawrence E. Eisenstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 126 | |
| 2 | 2006 | 52 | |
| 3 | 2007 | 32 | |
| 4 | 2007 | 27 | |
| 5 | 2008 | 24 | |
| 6 | 2007 | 23 | |
| 7 | 2003 | 16 | |
| 8 | 2004 | 15 | |
| 9 | 2004 | 14 | |
| 10 | 2020 | 10 | |
| 11 | 2006 | 10 | |
| 12 | 2006 | 7 | |
| 13 | 2007 | 7 | |
| 14 | 2008 | 5 | |
| 15 | 2008 | 4 | |
| 16 | 2008 | 1 | |
| 17 | 2003 | 1 |
About Lawrence E. Eisenstein
Lawrence E. Eisenstein is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 374 indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (5 papers), Antimicrobial Resistance in Staphylococcus (3 papers), COVID-19 epidemiological studies (2 papers), Streptococcal Infections and Treatments (2 papers), Herpesvirus Infections and Treatments (2 papers), Cardiac Valve Diseases and Treatments (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Infectious Diseases (128 citations), Modeling and Simulation (32 citations), Clinical Biochemistry (41 citations), Applied Microbiology and Biotechnology (9 citations) and Molecular Medicine (17 citations). Lawrence E. Eisenstein has collaborated with scholars based in United States. Frequent co-authors include Burke A. Cunha, Burke A. Cunha, Jeffrey Todd Berger, Simcha Z Pollack and Diane Johnson. Their work appears in journals such as Heart & Lung, Clinical Infectious Diseases, Infection Control and Hospital Epidemiology, Journal of Hospital Infection and The American Journal of Medicine.
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.