Heidelberg Institute of Global Health
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- HIV/AIDS Research and Interventions 99
- Top scholars
- Annelies Wilder‐SmithTill BärnighausenDavid O. FreedmanSimiao ChenJoacim RocklövChristian BommerShannon A. McMahonPouya Saeedi
- Journals
- International Journal of Environmental Research and Public Health (50 papers)BMJ Open (49 papers)BMC Public Health (49 papers)BMJ Global Health (38 papers)PLoS ONE (37 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Heidelberg Institute of Global Health
1.6k papers receiving 37.9k citations
Peers
Comparison fields: 5 of 227
- Modeling and Simulation 2k
- Endocrinology, Diabetes and Metabolism 3.2k
- Infectious Diseases 3.2k
- Public Health, Environmental and Occupational Health 5.7k
- Health 1.4k
Countries citing scholars working at Heidelberg Institute of Global Health
This map shows the geographic impact of research produced by authors working at Heidelberg Institute of Global Health. 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 papers produced at Heidelberg Institute of Global Health with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heidelberg Institute of Global Health more than expected).
Fields of papers published by authors at Heidelberg Institute of Global Health
This network shows the impact of papers affiliated with Heidelberg Institute of Global Health at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Heidelberg Institute of Global Health at the time of their publication.
About Heidelberg Institute of Global Health
In recent decades, authors affiliated with Heidelberg Institute of Global Health have published 1.8k papers, which have received a total of 37.9k indexed citations . Scholars at this organization have produced 224 papers in Infectious Diseases, 27 papers in Applied Microbiology and Biotechnology, 57 papers in Modeling and Simulation, 99 papers in Health and 137 papers in Health, Toxicology and Mutagenesis on the topics of Climate Change and Health Impacts (120 papers), Healthcare Systems and Reforms (101 papers), HIV/AIDS Research and Interventions (99 papers), Mosquito-borne diseases and control (92 papers), COVID-19 epidemiological studies (57 papers), Vaccine Coverage and Hesitancy (56 papers), Global Maternal and Child Health (56 papers) and Child Nutrition and Water Access (55 papers). Their work is cited by papers focused on Modeling and Simulation (2k citations), Endocrinology, Diabetes and Metabolism (3.2k citations), Infectious Diseases (3.2k citations), Public Health, Environmental and Occupational Health (5.7k citations) and Health (1.4k citations). Authors at Heidelberg Institute of Global Health collaborate with scholars in Germany, United States and United Kingdom and have published in prestigious journals including International Journal of Environmental Research and Public Health, BMJ Open, BMC Public Health, BMJ Global Health and PLoS ONE. Some of Heidelberg Institute of Global Health's most productive authors include Annelies Wilder‐Smith, Till Bärnighausen, David O. Freedman, Simiao Chen, Joacim Rocklöv, Christian Bommer, Shannon A. McMahon, Pouya Saeedi, Abdul Basit and Bruce Bartholow Duncan.
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.