Ulf Niemeyer
- Co-authors
- Robert MartinoVéronique GilardJ. PohlN BrockJurij StekarMyriam Malet‐MartinoLutz‐F. TietzeJörg Pohl
- Topics
- Chemotherapy-induced organ toxicity mitigation (21 papers)Acute Lymphoblastic Leukemia research (9 papers)Carcinogens and Genotoxicity Assessment (5 papers)
In The Last Decade
Ulf Niemeyer
40 papers receiving 567 citations
Peers
Comparison fields: 5 of 89
- Pathology and Forensic Medicine 184
- Molecular Biology 170
- Organic Chemistry 140
- Oncology 93
- Cancer Research 68
Countries citing papers authored by Ulf Niemeyer
This map shows the geographic impact of Ulf Niemeyer'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 Ulf Niemeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulf Niemeyer more than expected).
Fields of papers citing papers by Ulf Niemeyer
This network shows the impact of papers produced by Ulf Niemeyer. 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 Ulf Niemeyer. The network helps show where Ulf Niemeyer may publish in the future.
Co-authorship network of co-authors of Ulf Niemeyer
This figure shows the co-authorship network connecting the top 25 collaborators of Ulf Niemeyer. A scholar is included among the top collaborators of Ulf Niemeyer 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 Ulf Niemeyer. Ulf Niemeyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Combined action of (-)-epigallocatechin-3-gallate and mafosfamide on HL-60 cells | 1 |
| 3 | 4 | |
| 4 | 12 | |
| 5 | Mitotic catastrophe induction in U937 cells by oxazaphosphorines | 3 |
| 6 | 3 | |
| 7 | Frequency of micronuclei induced in the mouse erythropoietic system by new generation oxazaphosphorines | 1 |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 27 | |
| 14 | Direct detection of the intracellular formation of carboxyphosphamides using nuclear magnetic resonance spectroscopy. | 8 |
| 15 | 35 | |
| 16 | 5 | |
| 17 | 10 | |
| 18 | [Separation and pharmaco-toxicological studies of the enantiomers of Ifosfamide]. | 3 |
| 19 | 23 | |
| 20 | 19 |
About Ulf Niemeyer
Ulf Niemeyer is a scholar working on Pathology and Forensic Medicine, Pharmaceutical Science and Industrial and Manufacturing Engineering, having authored 43 papers that have together received 601 indexed citations. Recurring topics across this work include Chemotherapy-induced organ toxicity mitigation (21 papers), Acute Lymphoblastic Leukemia research (9 papers) and Carcinogens and Genotoxicity Assessment (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (184 citations), Occupational Therapy (38 citations) and Pharmaceutical Science (44 citations). Ulf Niemeyer has collaborated with scholars based in Germany, France and Poland. Frequent co-authors include Robert Martino, Véronique Gilard, J. Pohl, N Brock, Jurij Stekar, Myriam Malet‐Martino, Lutz‐F. Tietze, Jörg Pohl, Karl‐Heinz Glüsenkamp and Jürgen Engel. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Tetrahedron.
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.