G. Kircheis

67 papers receiving 3.1k citations

G. Kircheis's Hit Papers

Hepatic encephalopathy 2022 · 119 citations
1190+1+2Years since publication255075100

Peers

G. Kircheis
Comparison fields: 5 of 118
  • Hepatology 1.9k
  • Clinical Biochemistry 248
  • Epidemiology 1.2k
  • Pharmacology 162
  • Surgery 656
Replace Giuseppe Di Fede with:
Giuseppe Di Fede Italy
Julia Szendroedi Germany
E. Proctor United Kingdom
Sidney S. Schreiber United States
Hideki Onishi Japan
Chun Xu United States
Janet Sargentoni United Kingdom
Antonino Davide Romano Italy
Sidhartha Tan United States
Ulrich Wachter Germany
G. Kircheis relative to Giuseppe Di Fede Italy Giuseppe Di Fede's profile →
Citations per field
00.5×7.5×
Giuseppe Di Fede · 1×
Citations per year

Countries citing papers authored by G. Kircheis

Since Specialization
Citations

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

Fields of papers citing papers by G. Kircheis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000339
2 2002286
3 1997230
4 2010127
5 1999125
6 1998120
7
Hepatic encephalopathy
Hit paper breakdown →
2022119
8 2009114
9 2008108
10
1H-MR spectroscopy, magnetization transfer, and diffusion-weighted imaging in alcoholic and nonalcoholic patients with cirrhosis with hepatic encephalopathy.
200689
11 200480
12 200274
13 199872
14 200370
15 201360
16 200960
17 200356
18 200254
19 201251
20 201850

About G. Kircheis

G. Kircheis is a scholar working on Hepatology, Epidemiology, Surgery, Clinical Biochemistry and Neurology, having authored 70 papers that have together received 3.1k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (48 papers), Liver Disease Diagnosis and Treatment (22 papers), Metabolism and Genetic Disorders (8 papers), Organ Transplantation Techniques and Outcomes (7 papers), Alcoholism and Thiamine Deficiency (4 papers), Epilepsy research and treatment (4 papers), Mitochondrial Function and Pathology (4 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Hepatology (1.9k citations), Clinical Biochemistry (248 citations), Epidemiology (1.2k citations), Pharmacology (162 citations) and Surgery (656 citations). G. Kircheis has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Dieter Häussinger, Alfons Schnitzler, Lars Timmermann, Richard Fischer, Freimut Schliess, D Häussinger, Stephan vom Dahl, Karl Zilles, Matthias Wettstein and Norbert Hilger. Their work appears in journals such as Journal of Hepatology, Hepatology, Clinical Neurophysiology, European Journal of Gastroenterology & Hepatology and NeuroImage.

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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