Katja Stefan

441 citations
13 papers · 366 indexed · h-index 11
Topics
Drug Transport and Resistance Mechanisms (10 papers)Cholesterol and Lipid Metabolism (3 papers)Computational Drug Discovery Methods (3 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsInternational Journal of Molecular Sciences
Partner nations
GermanyNorwayLatvia

In The Last Decade

Katja Stefan

13 papers receiving 362 citations

Peers

Katja Stefan
Comparison fields: 5 of 52
  • Oncology 185
  • Molecular Biology 165
  • Organic Chemistry 105
  • Computational Theory and Mathematics 82
  • Infectious Diseases 66
Replace Sven Marcel Stefan with:
Sven Marcel Stefan Germany
Robert B. McFadyen United States
Cecilia Martelli Italy
Frank Navas United States
Kelly E. Desino United States
Freya Klepsch Austria
Joachim L. Petit United States
Daniele Pezzetta Italy
Mary Zoeckler United States
Shuyuan Zhao United States
Katja Stefan relative to Sven Marcel Stefan Germany Sven Marcel Stefan's profile →
Citations per field
00.5×
Sven Marcel Stefan · 1×
Citations per year

Countries citing papers authored by Katja Stefan

Since Specialization
Citations

This map shows the geographic impact of Katja Stefan'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 Katja Stefan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Stefan more than expected).

Fields of papers citing papers by Katja Stefan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katja Stefan. 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 Katja Stefan. The network helps show where Katja Stefan may publish in the future.

Co-authorship network of co-authors of Katja Stefan

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Stefan. A scholar is included among the top collaborators of Katja Stefan 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 Katja Stefan. Katja Stefan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 9
2 4
3 19
4 16
5 29
6 20
7 16
8 19
9 16
10 63
11 14
12 61
13 80

About Katja Stefan

Katja Stefan is a scholar working on Oncology, Physiology and Computational Theory and Mathematics, having authored 13 papers that have together received 366 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (10 papers), Cholesterol and Lipid Metabolism (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Oncology (185 citations), Computational Theory and Mathematics (82 citations) and Organic Chemistry (105 citations). Katja Stefan has collaborated with scholars based in Germany, Norway and Latvia. Frequent co-authors include Michael Wiese, Kapil Juvale, Sven Marcel Stefan, Jens Pahnke, Vigneshwaran Namasivayam, T Ross, Sachin Puri, Sharuk L. Khan, Luisa Möhle and Pablo Bascuñana. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and International Journal of Molecular Sciences.

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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