Nina Schulman
- Genetics top 2%
- Agronomy and Crop Science top 2%
- Plant Science top 10%
- Cancer Research top 10%
- Molecular Biology
- Co-authors
- Johanna VilkkiAsko Mäki‐TanilaSirja ViitalaDirk‐Jan de KoningMichel GeorgesMogens Sandø LundGoutam SahanaJoanna Szyda
- Topics
- Genetic and phenotypic traits in livestock (17 papers)Genetic Mapping and Diversity in Plants and Animals (15 papers)Cancer-related molecular mechanisms research (7 papers)
- Partner nations
- FinlandDenmarkUnited Kingdom
In The Last Decade
Nina Schulman
18 papers receiving 903 citations
Peers
Comparison fields: 5 of 48
- Genetics 816
- Agronomy and Crop Science 315
- Plant Science 183
- Cancer Research 181
- Molecular Biology 103
Countries citing papers authored by Nina Schulman
This map shows the geographic impact of Nina Schulman'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 Schulman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Schulman more than expected).
Fields of papers citing papers by Nina Schulman
This network shows the impact of papers produced by Nina Schulman. 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 Schulman. The network helps show where Nina Schulman may publish in the future.
Co-authorship network of co-authors of Nina Schulman
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Schulman. A scholar is included among the top collaborators of Nina Schulman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nina Schulman. Nina Schulman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 123 | |
| 2 | 29 | |
| 3 | Characterization of linkage disequilibrium in a Danish, Swedish and Finnish Red Breed cattle population | 5 |
| 4 | 11 | |
| 5 | 30 | |
| 6 | 35 | |
| 7 | 162 | |
| 8 | 5 | |
| 9 | 75 | |
| 10 | 82 | |
| 11 | 109 | |
| 12 | 76 | |
| 13 | QTL for health traits in Finnish Ayrshire cattle | 6 |
| 14 | 99 | |
| 15 | 17 | |
| 16 | QTL-mapping for egg quality and production in egg-layers | 1 |
| 17 | 34 | |
| 18 | 31 |
About Nina Schulman
Nina Schulman is a scholar working on Genetics, Cancer Research and Agronomy and Crop Science, having authored 18 papers that have together received 930 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Agronomy and Crop Science (315 citations), Genetics (816 citations) and Cancer Research (181 citations). Nina Schulman has collaborated with scholars based in Finland, Denmark and United Kingdom. Frequent co-authors include Johanna Vilkki, Asko Mäki‐Tanila, Sirja Viitala, Dirk‐Jan de Koning, Michel Georges, Mogens Sandø Lund, Goutam Sahana, Joanna Szyda, Sarah Blott and Martin Lidauer. Their work appears in journals such as Genetics, Journal of Dairy Science and PLoS Genetics.
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.