Nina Schmidt
Impact in
- Family Practice top 10%
- Medication Adherence and Compliance
-
- Cerebrovascular and genetic disorders
Papers in
-
- Chemical Synthesis and Analysis 2
- Plant Gene Expression Analysis 1
- Genomics, phytochemicals, and oxidative stress 1
- Surgery 4
- Lipoproteins and Cardiovascular Health 4
- Co-authors
- Ingo Appelhagen (1 shared paper)Gunnar Huep (1 shared paper)Bernd Weißhaar (1 shared paper)Martin Sagasser (1 shared paper)Niclas Nordholt (1 shared paper)Peyman Hadji (3 shared papers)Karel Kostev (4 shared papers)Ioannis Kyvernitakis (2 shared papers)
- Journals
- Atherosclerosis (2 papers)Nature Communications (1 paper)Journal of Clinical Oncology (1 paper)Frontiers in Microbiology (1 paper)Vascular Pharmacology (1 paper)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Nina Schmidt
21 papers receiving 406 citations
Peers
Comparison fields: 5 of 75
- Family Practice 23
- Neurology 50
- Biochemistry 15
- Cancer Research 34
- Molecular Biology 146
Countries citing papers authored by Nina Schmidt
This map shows the geographic impact of Nina Schmidt'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 Nina Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Schmidt more than expected).
Fields of papers citing papers by Nina Schmidt
This network shows the impact of papers produced by Nina Schmidt. 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 Nina Schmidt. The network helps show where Nina Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Nina Schmidt, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 102 | |
| 2 | 2012 | 75 | |
| 3 | 2013 | 74 | |
| 4 | 2016 | 22 | |
| 5 | 2020 | 20 | |
| 6 | 2018 | 19 | |
| 7 | 2017 | 17 | |
| 8 | 2019 | 16 | |
| 9 | 2013 | 9 | |
| 10 | 2014 | 9 | |
| 11 | 2017 | 8 | |
| 12 | 2018 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2022 | 3 | |
| 19 | 2017 | 2 | |
| 20 | [Decentralized and differentiated obstetrics--a paradigmatic shift]. | 2005 | 2 |
About Nina Schmidt
Nina Schmidt is a scholar working on Molecular Biology, Surgery, Organic Chemistry, Neurology and Oncology, having authored 23 papers that have together received 414 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (4 papers), Click Chemistry and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Chemical Synthesis and Analysis (2 papers), Cerebrovascular and genetic disorders (2 papers), Fatty Acid Research and Health (1 paper), Plant Gene Expression Analysis (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Family Practice (23 citations), Neurology (50 citations), Biochemistry (15 citations), Cancer Research (34 citations) and Molecular Biology (146 citations). Nina Schmidt has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Ingo Appelhagen, Gunnar Huep, Bernd Weißhaar, Martin Sagasser, Niclas Nordholt, Peyman Hadji, Karel Kostev, Ioannis Kyvernitakis, Volker Ziller and Michael Bauer. Their work appears in journals such as Atherosclerosis, Nature Communications, Journal of Clinical Oncology, Frontiers in Microbiology and Vascular Pharmacology.
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.