Marjan Trutschl
- Co-authors
- Urška CvekRobert E. RhoadsNadejda L. KorneevaJohn W.B. HersheyC.A. BradleyJ. Steven AlexanderRona S. ScottChristine Birdwell
- Topics
- Data Visualization and Analytics (7 papers)Gene expression and cancer classification (5 papers)Neural Networks and Applications (5 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Marjan Trutschl
47 papers receiving 664 citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 308
- Oncology 77
- Epidemiology 72
- Biochemistry 64
- Immunology 59
Countries citing papers authored by Marjan Trutschl
This map shows the geographic impact of Marjan Trutschl'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 Marjan Trutschl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marjan Trutschl more than expected).
Fields of papers citing papers by Marjan Trutschl
This network shows the impact of papers produced by Marjan Trutschl. 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 Marjan Trutschl. The network helps show where Marjan Trutschl may publish in the future.
Co-authorship network of co-authors of Marjan Trutschl
This figure shows the co-authorship network connecting the top 25 collaborators of Marjan Trutschl. A scholar is included among the top collaborators of Marjan Trutschl 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 Marjan Trutschl. Marjan Trutschl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 6 | |
| 10 | 15 | |
| 11 | Proceedings of the 20th International Conference on Information Visualisation | 6 |
| 12 | 5 | |
| 13 | 23 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 23 | |
| 17 | 41 | |
| 18 | 24 | |
| 19 | Identification of genes involved in early stage bladder pathogenesis | 1 |
| 20 | 14 |
About Marjan Trutschl
Marjan Trutschl is a scholar working on Critical Care and Intensive Care Medicine, Toxicology and Aging, having authored 50 papers that have together received 673 indexed citations. Recurring topics across this work include Data Visualization and Analytics (7 papers), Gene expression and cancer classification (5 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Biochemistry (64 citations), Molecular Biology (308 citations) and Critical Care and Intensive Care Medicine (20 citations). Marjan Trutschl has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Urška Cvek, Robert E. Rhoads, Nadejda L. Korneeva, John W.B. Hershey, C.A. Bradley, J. Steven Alexander, Rona S. Scott, Christine Birdwell, Georges Grinstein and John L. Clifford. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.