Maja Francuski

638 total citations
9 papers, 429 citations indexed

About

Maja Francuski is a scholar working on Surgery, Public Health, Environmental and Occupational Health and Transplantation. According to data from OpenAlex, Maja Francuski has authored 9 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Transplantation. Recurrent topics in Maja Francuski's work include Organ Transplantation Techniques and Outcomes (6 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Organ Donation and Transplantation (3 papers). Maja Francuski is often cited by papers focused on Organ Transplantation Techniques and Outcomes (6 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Organ Donation and Transplantation (3 papers). Maja Francuski collaborates with scholars based in Germany, United States and United Kingdom. Maja Francuski's co-authors include Andreas Pascher, Stefan G. Tullius, P. Neuhaus, Anja Reutzel‐Selke, Frank Ulrich, C Wesslau, Hans‐Dieter Volk, Roman Klemz, Johann Pratschke and Katja Kotsch and has published in prestigious journals such as New England Journal of Medicine, Annals of Surgery and Transplantation.

In The Last Decade

Maja Francuski

9 papers receiving 422 citations

Peers

Maja Francuski
Comparison fields: 5 of 57
  • Surgery 284
  • Public Health, Environmental and Occupational Health 153
  • Hepatology 122
  • Transplantation 99
  • Psychiatry and Mental health 50
Replace Hasan Akkoç with:
Hasan Akkoç Türkiye
J. Pratschke Germany
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Mary Ametani United States
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Pedro Benito López Spain
Saturnino Sanz de Castro Spain
A R Mueller Germany
Thomas Prikoszovich Austria
Hasan Akkoç Türkiye View profile →
Citations per field, relative to Maja Francuski
Maja Francuski · 1×
Citations per year, relative to Maja Francuski
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Countries citing papers authored by Maja Francuski

Since Specialization
Citations

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

Fields of papers citing papers by Maja Francuski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Francuski

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 3
2 1
3 48
4 7
5 8
6 130
7 176
8 55
9 1

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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