Simon Moosburner

761 citations
53 papers · 468 · h-index 12

Impact in

Papers in

    • Organ Transplantation Techniques and Outcomes 24
    • Tissue Engineering and Regenerative Medicine 5
    • Surgical Simulation and Training 5
    • Liver Disease and Transplantation 15
    • Hepatocellular Carcinoma Treatment and Prognosis 7

Simon Moosburner

46 papers receiving 456 citations

Peers

Simon Moosburner
Comparison fields: 5 of 87
  • Hepatology 156
  • Health Informatics 18
  • Transplantation 21
  • Surgery 334
  • Computer Vision and Pattern Recognition 98
Replace Matthias Peterhans with:
Matthias Peterhans Switzerland
Ahmed El‐Gendi Egypt
Jianping Zeng China
Egidijus Pelanis Norway
Rui Tang China
Yukio Oshiro Japan
Hajime Imamura Japan
Jing Pan China
Henrik Brun Norway
Jin Lv China
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Citations per field
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Matthias Peterhans · 1×
Citations per year

Countries citing papers authored by Simon Moosburner

Since Specialization
Citations

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

Fields of papers citing papers by Simon Moosburner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simon Moosburner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon Moosburner Line = papers co-authored together Simon Moosburner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201797
2 202033
3 201827
4 202024
5 202023
6 201822
7 201817
8 202215
9 201915
10 202013
11 202112
12 202311
13 202011
14 202111
15 201910
16 202310
17 201610
18 20238
19 20198
20 20227

About Simon Moosburner

Simon Moosburner is a scholar working on Surgery, Hepatology, Public Health, Environmental and Occupational Health, Oncology and Biomedical Engineering, having authored 53 papers that have together received 468 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (24 papers), Liver Disease and Transplantation (15 papers), Organ Donation and Transplantation (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Tissue Engineering and Regenerative Medicine (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Renal Transplantation Outcomes and Treatments (5 papers) and Surgical Simulation and Training (5 papers). The work is most often cited by research in Hepatology (156 citations), Health Informatics (18 citations), Transplantation (21 citations), Surgery (334 citations) and Computer Vision and Pattern Recognition (98 citations). Simon Moosburner has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Johann Pratschke, Igor M. Sauer, Peter Tang, Nathanael Raschzok, Rosa Horner, R Lohmann, Karl H. Hillebrandt, Robert Öllinger, Paul Viktor Ritschl and Markus A. Feufel. Their work appears in journals such as Surgical Endoscopy, Tissue Engineering Part A, Scientific Reports, Langenbeck s Archives of Surgery and Artificial Organs.

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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