Manuela Gerhold
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
- Oncology 2
- COVID-19 and healthcare impacts 1
- Peptidase Inhibition and Analysis 1
-
- Sarcoidosis and Beryllium Toxicity Research 2
- Co-authors
- Bruno V. Sinn (1 shared paper)Frank L. Heppner (1 shared paper)Kathrin Hauptmann (1 shared paper)Victor M. Corman (1 shared paper)Edward Michaelis (1 shared paper)Hermann Herbst (1 shared paper)Florian Miller (1 shared paper)Sefer Elezkurtaj (1 shared paper)
- Journals
- Scientific Reports (1 paper)The Clinical Respiratory Journal (1 paper)Zeitschrift für Kardiologie (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Manuela Gerhold
3 papers receiving 262 citations
Manuela Gerhold's Hit Papers
Peers
Comparison fields: 5 of 61
- Infectious Diseases 123
- Modeling and Simulation 24
- Neurology 62
- Critical Care and Intensive Care Medicine 11
- Internal Medicine 5
Countries citing papers authored by Manuela Gerhold
This map shows the geographic impact of Manuela Gerhold'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 Manuela Gerhold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuela Gerhold more than expected).
Fields of papers citing papers by Manuela Gerhold
This network shows the impact of papers produced by Manuela Gerhold. 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 Manuela Gerhold. The network helps show where Manuela Gerhold may publish in the future.
Co-authors
The 25 scholars most cited alongside Manuela Gerhold, 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 | Causes of death and comorbidities in hospitalized patients with COVID-19 Hit paper breakdown → | 2021 | 258 |
| 2 | 2015 | 6 | |
| 3 | 1997 | 6 |
About Manuela Gerhold
Manuela Gerhold is a scholar working on Oncology, Physiology, Infectious Diseases, Neurology and Cardiology and Cardiovascular Medicine, having authored 3 papers that have together received 270 indexed citations. Recurring topics across this work include Sarcoidosis and Beryllium Toxicity Research (2 papers), COVID-19 Clinical Research Studies (1 paper), Long-Term Effects of COVID-19 (1 paper), COVID-19 and healthcare impacts (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Fungal Infections and Studies (1 paper), Peptidase Inhibition and Analysis (1 paper) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Infectious Diseases (123 citations), Modeling and Simulation (24 citations), Neurology (62 citations), Critical Care and Intensive Care Medicine (11 citations) and Internal Medicine (5 citations). Manuela Gerhold has collaborated with scholars based in Germany and United States. Frequent co-authors include Bruno V. Sinn, Frank L. Heppner, Kathrin Hauptmann, Victor M. Corman, Edward Michaelis, Hermann Herbst, Florian Miller, Sefer Elezkurtaj, Philip Bischoff and Helena Radbruch. Their work appears in journals such as Scientific Reports, The Clinical Respiratory Journal and Zeitschrift für Kardiologie.
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.