R. Maschler
- Molecular Biology
- Genetics top 10%
- Pharmacology top 10%
- Hematology top 10%
- Oncology
- Co-authors
- Hans FritzU SeemüllerJohannes DodtGeorg StöfflerH. R. MaurerRené KnechtWerner MachleidtF. Raschdorf
- Topics
- Leech Biology and Applications (6 papers)Venomous Animal Envenomation and Studies (5 papers)Immune Cell Function and Interaction (4 papers)
- Journals
- Proceedings of the National Academy of SciencesBiochemistryJournal of Immunological Methods
- Partner nations
- GermanySwitzerlandFrance
In The Last Decade
R. Maschler
26 papers receiving 571 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 333
- Genetics 179
- Pharmacology 113
- Hematology 99
- Oncology 79
Countries citing papers authored by R. Maschler
This map shows the geographic impact of R. Maschler'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 R. Maschler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Maschler more than expected).
Fields of papers citing papers by R. Maschler
This network shows the impact of papers produced by R. Maschler. 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 R. Maschler. The network helps show where R. Maschler may publish in the future.
Co-authorship network of co-authors of R. Maschler
This figure shows the co-authorship network connecting the top 25 collaborators of R. Maschler. A scholar is included among the top collaborators of R. Maschler 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 R. Maschler. R. Maschler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 67 | |
| 2 | 25 | |
| 3 | 18 | |
| 4 | 18 | |
| 5 | 10 | |
| 6 | 64 | |
| 7 | Eglin c, a pharmacologically active elastase inhibitor. | 18 |
| 8 | Biochemical properties and possible therapeutic role of the elastase inhibitor eglin C. | 2 |
| 9 | 45 | |
| 10 | 99 | |
| 11 | Inhibition of cells in culture by polyamines does not depend on the presence of ruminant serum. | 21 |
| 12 | 4 | |
| 13 | A micromethod to culture granulocyte colonies from human bone marrow in agar-containing glass capillaries. | 4 |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 5 | |
| 19 | 19 | |
| 20 | 46 |
About R. Maschler
R. Maschler is a scholar working on Pharmacology, Biochemistry and Immunology, having authored 26 papers that have together received 636 indexed citations. Recurring topics across this work include Leech Biology and Applications (6 papers), Venomous Animal Envenomation and Studies (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Hematology (99 citations), Internal Medicine (32 citations) and Pharmacology (113 citations). R. Maschler has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Hans Fritz, U Seemüller, Johannes Dodt, Georg Stöffler, H. R. Maurer, René Knecht, Werner Machleidt, F. Raschdorf, Ernst Gassmann and François Gros. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemistry and Journal of Immunological Methods.
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.