Anna Gottschlich
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
-
- Diabetes Treatment and Management
Papers in
- Epidemiology 22
- Cervical Cancer and HPV Research 20
- Oncology 5
- Global Cancer Incidence and Screening 5
- Co-authors
- Swenja Kröller‐Schön (3 shared papers)Thomas Münzel (3 shared papers)Andreas Daiber (3 shared papers)Matthias Oelze (3 shared papers)Gina Ogilvie (24 shared papers)Laurie Smith (21 shared papers)Rafael Meza (7 shared papers)Paul Stamm (1 shared paper)
- Journals
- Cancer Epidemiology Biomarkers & Prevention (4 papers)BMJ Open (4 papers)PLoS ONE (2 papers)BMC Public Health (2 papers)BMC Women s Health (2 papers)
- Partner nations
- CanadaUnited StatesGuatemala
In The Last Decade
Anna Gottschlich
35 papers receiving 732 citations
Peers
Comparison fields: 5 of 87
- Health 90
- Endocrinology, Diabetes and Metabolism 177
- Epidemiology 194
- Modeling and Simulation 19
- Cardiology and Cardiovascular Medicine 78
Countries citing papers authored by Anna Gottschlich
This map shows the geographic impact of Anna Gottschlich'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 Anna Gottschlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Gottschlich more than expected).
Fields of papers citing papers by Anna Gottschlich
This network shows the impact of papers produced by Anna Gottschlich. 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 Anna Gottschlich. The network helps show where Anna Gottschlich may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Gottschlich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 263 | |
| 2 | 2021 | 89 | |
| 3 | 2012 | 75 | |
| 4 | 2017 | 50 | |
| 5 | 2021 | 39 | |
| 6 | 2019 | 34 | |
| 7 | 2019 | 25 | |
| 8 | 2020 | 20 | |
| 9 | 2020 | 16 | |
| 10 | 2021 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2019 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2014 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2011 | 6 | |
| 20 | 2022 | 5 |
About Anna Gottschlich
Anna Gottschlich is a scholar working on Epidemiology, Oncology, Obstetrics and Gynecology, Health and Clinical Psychology, having authored 39 papers that have together received 744 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (20 papers), Global Cancer Incidence and Screening (5 papers), Vaccine Coverage and Hesitancy (3 papers), COVID-19 and Mental Health (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Psychological Well-being and Life Satisfaction (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Genital Health and Disease (2 papers). The work is most often cited by research in Health (90 citations), Endocrinology, Diabetes and Metabolism (177 citations), Epidemiology (194 citations), Modeling and Simulation (19 citations) and Cardiology and Cardiovascular Medicine (78 citations). Anna Gottschlich has collaborated with scholars based in Canada, United States and Guatemala. Frequent co-authors include Swenja Kröller‐Schön, Thomas Münzel, Andreas Daiber, Matthias Oelze, Gina Ogilvie, Laurie Smith, Rafael Meza, Paul Stamm, Michael Hausding and Michael Mäder. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, BMJ Open, PLoS ONE, BMC Public Health and BMC Women s Health.
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.