DL Heymann
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Health top 2%
- Vaccine Coverage and Hesitancy
Papers in ⓘ
- Health 2
- Vaccine Coverage and Hesitancy 2
-
- Adolescent Sexual and Reproductive Health 1
- Co-authors
- P E Fine (1 shared paper)Ken Eames (1 shared paper)Mark Kane (1 shared paper)Dale J. Hu (1 shared paper)G Rodier (1 shared paper)Ibou Thior (1 shared paper)Antoon De Schryver (1 shared paper)A Meheus (1 shared paper)
- Journals
- Clinical Infectious Diseases (1 paper)PubMed (4 papers)LSHTM Research Online (London School of Hygiene and Tropical Medicine) (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
DL Heymann
6 papers receiving 860 citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Modeling and Simulation 274
- Health 393
- Infectious Diseases 344
- Microbiology 51
- Epidemiology 258
Countries citing papers authored by DL Heymann
This map shows the geographic impact of DL Heymann'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 DL Heymann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DL Heymann more than expected).
Fields of papers citing papers by DL Heymann
This network shows the impact of papers produced by DL Heymann. 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 DL Heymann. The network helps show where DL Heymann may publish in the future.
Co-authors
The 14 scholars most cited alongside DL Heymann, 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 | "Herd Immunity": A Rough Guide Hit paper breakdown → | 2011 | 804 |
| 2 | Transmission of HIV, hepatitis B virus, and other bloodborne pathogens in health care settings: a review of risk factors and guidelines for prevention. World Health Organization. | 1991 | 48 |
| 3 | Diagnosis of sexually transmitted infections in female prostitutes in Dakar, Senegal. | 1998 | 21 |
| 4 | 2004 | 20 | |
| 5 | Rapid sexually transmitted disease assessment in two developing countries. | 1994 | 5 |
| 6 | The polio eradication endgame. As polio eradication nears realization, such real-world vaccination strategies could hold lessons for the future in AIDS vaccine development. | 2006 | 5 |
About DL Heymann
DL Heymann is a scholar working on Health, General Health Professions, Pediatrics, Perinatology and Child Health, Sociology and Political Science and Epidemiology, having authored 6 papers that have together received 903 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (2 papers), Syphilis Diagnosis and Treatment (1 paper), Hepatitis B Virus Studies (1 paper), COVID-19 epidemiological studies (1 paper), Adolescent Sexual and Reproductive Health (1 paper), Hepatitis C virus research (1 paper), Global Maternal and Child Health (1 paper) and Sex work and related issues (1 paper). The work is most often cited by research in Modeling and Simulation (274 citations), Health (393 citations), Infectious Diseases (344 citations), Microbiology (51 citations) and Epidemiology (258 citations). DL Heymann has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include P E Fine, Ken Eames, Mark Kane, Dale J. Hu, G Rodier, Ibou Thior, Antoon De Schryver, A Meheus, Abdoulaye Wade and Souleymane Mboup. Their work appears in journals such as Clinical Infectious Diseases, PubMed and LSHTM Research Online (London School of Hygiene and Tropical 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.