Guenter Tusch

1.2k citations
28 papers · 921 indexed · h-index 12

Guenter Tusch

27 papers receiving 889 citations

Peers

Guenter Tusch
Comparison fields: 5 of 77
  • Hepatology 372
  • Transplantation 41
  • Pathology and Forensic Medicine 246
  • Surgery 561
  • Health Information Management 36
Replace Daniele Nicolini with:
Daniele Nicolini Italy
Monica A. Konerman United States
Satoshi Mochida Japan
Carlo Ceresa United Kingdom
Joel Omar Jáquez-Quintana Mexico
Sangbin Han South Korea
Michael D. Voigt United States
B. Ringe Germany
Hayley Bennett United Kingdom
Jia‐Jung Lee Taiwan
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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-authorship network

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
#Work
1
Impact of EHR Usability on Provider Efficiency and Patient Safety in Non-Hospital Settings
20191
2 201849
3
SPOT--towards temporal data mining in medicine and bioinformatics.
20083
4 20063
5 20042
6 20042
7 20015
8 2001165
9
Optimal sequential decisions in liver transplantation based on a POMDP model
20002
10
A model for optimal sequential decisions applied to liver transplantation.
20001
11
Seroprävalenz von IgG-Antikörpern gegen Masern, Mumps und Röteln bei Schweizer Kindern in den ersten 16 Lebensmonaten
20001
12
Data warehouse and data mining in a surgical clinic.
20005
13 199942
14 199918
15 199940
16 1997268
17 199690
18 199629
19 198814
20 19884

About Guenter Tusch

Guenter Tusch is a scholar working on Transplantation, Hepatology, Surgery, Hematology and Pathology and Forensic Medicine, having authored 28 papers that have together received 921 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (6 papers), Renal Transplantation Outcomes and Treatments (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Spine and Intervertebral Disc Pathology (3 papers), Spinal Fractures and Fixation Techniques (3 papers), Biomedical and Engineering Education (2 papers), Machine Learning in Healthcare (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Hepatology (372 citations), Transplantation (41 citations), Pathology and Forensic Medicine (246 citations), Surgery (561 citations) and Health Information Management (36 citations). Guenter Tusch has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include R. Pichlmayr, L. Bastian, U. Lange, Joachim Böttcher, E. Henkel, Manfred J. Müller, O. Selberg, M. Blauth, Christian Knop and B. Ringe. Their work appears in journals such as Transplant International, Hepatology, British journal of surgery, European Spine Journal and Journal of the American Medical Informatics Association.

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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