Martina Schaefer
Impact in
-
- Nuclear physics research studies
- Astronomical and nuclear sciences
- Genetics top 10%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
Papers in
- Genetics 4
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 2
-
- Nuclear Physics and Applications 3
- Co-authors
- Johannes-Peter Stasch (2 shared papers)Focco van den Akker (2 shared papers)John C. Herr (1 shared paper)Ursula Egner (2 shared papers)Gerhard Haidl (1 shared paper)Younghwan Kim (1 shared paper)Arabinda Mandal (1 shared paper)Xiaolei Ma (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (5 papers)Developmental Biology (1 paper)Nuclear Physics A (1 paper)Journal of Physics G Nuclear and Particle Physics (1 paper)Cell Death and Differentiation (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Martina Schaefer
18 papers receiving 780 citations
Peers
Comparison fields: 5 of 87
- Nuclear and High Energy Physics 189
- Genetics 92
- Radiation 79
- Pharmaceutical Science 46
- Reproductive Medicine 58
Countries citing papers authored by Martina Schaefer
This map shows the geographic impact of Martina Schaefer'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 Martina Schaefer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Schaefer more than expected).
Fields of papers citing papers by Martina Schaefer
This network shows the impact of papers produced by Martina Schaefer. 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 Martina Schaefer. The network helps show where Martina Schaefer may publish in the future.
Co-authors
The 25 scholars most cited alongside Martina Schaefer, 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 | 1998 | 169 | |
| 2 | 2016 | 108 | |
| 3 | 2006 | 95 | |
| 4 | 2010 | 93 | |
| 5 | 2013 | 56 | |
| 6 | 2021 | 56 | |
| 7 | 2019 | 55 | |
| 8 | 1999 | 52 | |
| 9 | 2007 | 23 | |
| 10 | 2023 | 23 | |
| 11 | 2020 | 21 | |
| 12 | 1999 | 18 | |
| 13 | 2023 | 12 | |
| 14 | 1998 | 11 | |
| 15 | 1999 | 10 | |
| 16 | 2024 | 4 | |
| 17 | 2007 | 3 | |
| 18 | 2024 | 2 |
About Martina Schaefer
Martina Schaefer is a scholar working on Genetics, Radiation, Nuclear and High Energy Physics, Molecular Biology and Physiology, having authored 18 papers that have together received 811 indexed citations. Recurring topics across this work include Nuclear physics research studies (3 papers), Nuclear Physics and Applications (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Vitamin K Research Studies (2 papers), Enzyme function and inhibition (2 papers), Nuclear reactor physics and engineering (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (189 citations), Genetics (92 citations), Radiation (79 citations), Pharmaceutical Science (46 citations) and Reproductive Medicine (58 citations). Martina Schaefer has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Johannes-Peter Stasch, Focco van den Akker, John C. Herr, Ursula Egner, Gerhard Haidl, Younghwan Kim, Arabinda Mandal, Xiaolei Ma, Pete Dunten and Padmamalini Baskaran. Their work appears in journals such as Journal of Medicinal Chemistry, Developmental Biology, Nuclear Physics A, Journal of Physics G Nuclear and Particle Physics and Cell Death and Differentiation.
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.