Marjan Trutschl

894 total citations
50 papers, 673 citations indexed

About

Marjan Trutschl is a scholar working on Molecular Biology, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marjan Trutschl has authored 50 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Surgery and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marjan Trutschl's work include Data Visualization and Analytics (7 papers), Gene expression and cancer classification (5 papers) and Neural Networks and Applications (5 papers). Marjan Trutschl is often cited by papers focused on Data Visualization and Analytics (7 papers), Gene expression and cancer classification (5 papers) and Neural Networks and Applications (5 papers). Marjan Trutschl collaborates with scholars based in United States, Germany and United Kingdom. Marjan Trutschl's 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 and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Marjan Trutschl

47 papers receiving 664 citations

Peers

Marjan Trutschl
Comparison fields: 5 of 117
  • Molecular Biology 308
  • Oncology 77
  • Epidemiology 72
  • Biochemistry 64
  • Immunology 59
Replace Urška Cvek with:
Urška Cvek United States
Alex Dayton United States
Like Zhang China
Harpal S. Sandhu United States
Esther Sutter Switzerland
Louise S. Mackenzie United Kingdom
Wanshan Ning China
Xianlong Zhou China
Urška Cvek United States View profile →
Citations per field, relative to Marjan Trutschl
Marjan Trutschl · 1×
Citations per year, relative to Marjan Trutschl
Marjan Trutschl · 1×

Countries citing papers authored by Marjan Trutschl

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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