Jane Hecht
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
-
- COVID-19 epidemiological studies 3
-
- COVID-19 Clinical Research Studies 2
- Infection Control in Healthcare 2
- Co-authors
- Christian Bogdan (3 shared papers)Fred Zepp (3 shared papers)Miriam Wiese‐Posselt (3 shared papers)Tim Niehues (2 shared papers)Thomas Mertens (1 shared paper)Ulrich Baumann (2 shared papers)Gerd Dieter Burchard (2 shared papers)Edeltraut Garbe (1 shared paper)
- Journals
- Eurosurveillance (1 paper)Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz (4 papers)Deutsches Ärzteblatt international (3 papers)RWTH Publications (RWTH Aachen) (1 paper)Publication server of the Robert Koch Institute (Robert Kock Institute) (1 paper)
- Partner nations
- GermanySwitzerland
In The Last Decade
Jane Hecht
11 papers receiving 234 citations
Peers
Comparison fields: 5 of 44
- Molecular Medicine 51
- Health 59
- Immunology 43
- General Dentistry 1
- Infectious Diseases 31
Countries citing papers authored by Jane Hecht
This map shows the geographic impact of Jane Hecht'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 Jane Hecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Hecht more than expected).
Fields of papers citing papers by Jane Hecht
This network shows the impact of papers produced by Jane Hecht. 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 Jane Hecht. The network helps show where Jane Hecht may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Hecht, 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 | 2019 | 90 | |
| 2 | 2019 | 56 | |
| 3 | 2017 | 54 | |
| 4 | 2020 | 36 | |
| 5 | 2016 | 8 | |
| 6 | 2020 | 6 | |
| 7 | 2023 | 5 | |
| 8 | Impfen bei Immundefizienz : Anwendungshinweise zu den von der Ständigen Impfkommission empfohlenen Impfungen: (IV) Impfen bei Autoimmunkrankheiten, bei anderen chronisch-entzündlichen Erkrankungen und unter immunmodulatorischer Therapie | 2019 | 2 |
| 9 | 2020 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 1 |
About Jane Hecht
Jane Hecht is a scholar working on Modeling and Simulation, Infectious Diseases, Immunology, Molecular Medicine and Oncology, having authored 11 papers that have together received 260 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (4 papers), Immune responses and vaccinations (4 papers), COVID-19 epidemiological studies (3 papers), COVID-19 and healthcare impacts (2 papers), COVID-19 Clinical Research Studies (2 papers), Infection Control in Healthcare (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Neutropenia and Cancer Infections (1 paper). The work is most often cited by research in Molecular Medicine (51 citations), Health (59 citations), Immunology (43 citations), General Dentistry (1 citation) and Infectious Diseases (31 citations). Jane Hecht has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Christian Bogdan, Fred Zepp, Miriam Wiese‐Posselt, Tim Niehues, Thomas Mertens, Ulrich Baumann, Gerd Dieter Burchard, Edeltraut Garbe, Ulf Müller‐Ladner and Dirk Föll. Their work appears in journals such as Eurosurveillance, Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, Deutsches Ärzteblatt international, RWTH Publications (RWTH Aachen) and Publication server of the Robert Koch Institute (Robert Kock Institute).
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.