Kolja Wawrowsky
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Oncology top 10%
- Surgery top 10%
- Cancer Research top 5%
- Co-authors
- Vera ChesnokovaШломо МелмедRobert N. PechnickSvetlana ZonisAnat Ben-ShlomoKeith L. BlackVladimir A. LjubimovNing‐Ai Liu
- Topics
- Pituitary Gland Disorders and Treatments (16 papers)Growth Hormone and Insulin-like Growth Factors (11 papers)Epigenetics and DNA Methylation (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Kolja Wawrowsky
64 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 120
- Molecular Biology 1.2k
- Endocrinology, Diabetes and Metabolism 705
- Oncology 376
- Surgery 342
- Cancer Research 311
Countries citing papers authored by Kolja Wawrowsky
This map shows the geographic impact of Kolja Wawrowsky'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 Kolja Wawrowsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kolja Wawrowsky more than expected).
Fields of papers citing papers by Kolja Wawrowsky
This network shows the impact of papers produced by Kolja Wawrowsky. 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 Kolja Wawrowsky. The network helps show where Kolja Wawrowsky may publish in the future.
Co-authorship network of co-authors of Kolja Wawrowsky
This figure shows the co-authorship network connecting the top 25 collaborators of Kolja Wawrowsky. A scholar is included among the top collaborators of Kolja Wawrowsky 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 Kolja Wawrowsky. Kolja Wawrowsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 2 | |
| 3 | 144 | |
| 4 | 112 | |
| 5 | 29 | |
| 6 | 38 | |
| 7 | 97 | |
| 8 | 39 | |
| 9 | 9 | |
| 10 | 165 | |
| 11 | 74 | |
| 12 | 16 | |
| 13 | 46 | |
| 14 | 10 | |
| 15 | 81 | |
| 16 | 13 | |
| 17 | 41 | |
| 18 | 50 | |
| 19 | 55 | |
| 20 | Microtubule nucleating centers reflect microtubule polarity in interphase and mitosis of higher plant Haemanthus | 1 |
About Kolja Wawrowsky
Kolja Wawrowsky is a scholar working on Developmental Neuroscience, Endocrinology, Diabetes and Metabolism and Neurology, having authored 64 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (16 papers), Growth Hormone and Insulin-like Growth Factors (11 papers) and Epigenetics and DNA Methylation (7 papers). The work is most often cited by research in Biological Psychiatry (158 citations), Developmental Neuroscience (227 citations) and Endocrinology, Diabetes and Metabolism (705 citations). Kolja Wawrowsky has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Vera Chesnokova, Шломо Мелмед, Robert N. Pechnick, Svetlana Zonis, Anat Ben-Shlomo, Keith L. Black, Vladimir A. Ljubimov, Ning‐Ai Liu, Kálmán Kovács and Julia Y. Ljubimova. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.