Guenter Tusch

32 papers receiving 946 citations

Peers

Guenter Tusch
Comparison fields: 5 of 75
  • Hepatology 341
  • Transplantation 32
  • Surgery 464
  • Pathology and Forensic Medicine 169
  • Nutrition and Dietetics 92
Replace Pavel Taimr with:
Pavel Taimr Netherlands
Monica A. Konerman United States
Min‐Sun Kwak South Korea
Tae Woo Yoo South Korea
Lis Fauerholdt Denmark
Ezequiel Mauro Spain
Johannes Chang Germany
Monica Tincopa United States
Paul Carrier France
Judith Gómez‐Camarero Spain
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Citations per year

Countries citing papers authored by Guenter Tusch

Since Specialization
Citations

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

Fields of papers citing papers by Guenter Tusch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guenter Tusch, 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 Guenter Tusch Line = papers co-authored together Guenter Tusch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997287
2 2001172
3 1996102
4 200092
5
Results of hepatic resection and transplantation for fibrolamellar carcinoma.
199284
6 201863
7 199943
8 199941
9 199632
10 199920
11 198815
12 20016
13
Data warehouse and data mining in a surgical clinic.
20005
14 19894
15 19883
16 19893
17 19883
18 20063
19 19883
20 20042

About Guenter Tusch

Guenter Tusch is a scholar working on Hepatology, Transplantation, Surgery, Pathology and Forensic Medicine and Artificial Intelligence, having authored 34 papers that have together received 997 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (6 papers), Renal Transplantation Outcomes and Treatments (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Transplantation: Methods and Outcomes (3 papers), Spine and Intervertebral Disc Pathology (3 papers), Machine Learning in Healthcare (3 papers), Spinal Fractures and Fixation Techniques (3 papers) and AI-based Problem Solving and Planning (2 papers). The work is most often cited by research in Hepatology (341 citations), Transplantation (32 citations), Surgery (464 citations), Pathology and Forensic Medicine (169 citations) and Nutrition and Dietetics (92 citations). Guenter Tusch has collaborated with scholars based in Germany and United States. Frequent co-authors include R. Pichlmayr, Leonard Bastian, Uta Lange, Eberhard Henkel, Oliver Selberg, Manfred James Müller, Joachim Böttcher, Michael Blauth, B. Ringe and Christian Knop. Their work appears in journals such as Transplant International, Hepatology, European Spine Journal, Journal of the American Medical Informatics Association and Transplantation.

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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