S Liebe

683 citations
27 papers · 533 indexed · h-index 11

Impact in

  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
  • Surgery top 10%
    • Pancreatitis Pathology and Treatment
    • Pancreatic function and diabetes
    • Gastrointestinal disorders and treatments
    • Pediatric Hepatobiliary Diseases and Treatments

Papers in

    • Pancreatitis Pathology and Treatment 5
    • Pancreatic function and diabetes 2
    • Gastrointestinal disorders and treatments 2
    • Pancreatic and Hepatic Oncology Research 8
    • Cancer Cells and Metastasis 2

S Liebe

25 papers receiving 517 citations

Peers

S Liebe
Comparison fields: 5 of 71
  • Oncology 247
  • Surgery 348
  • Gastroenterology 27
  • Biotechnology 29
  • Hepatology 25
Replace K Marlicz with:
K Marlicz Poland
Koji Sasajima Japan
Ioannis D. Kostakis Greece
Junko Kishikawa Japan
N Komi Japan
Keinosuke Ishido Japan
Muhammad Talal Sarmini United States
Zhaoyan Qiu China
Takehiro Kukitsu Japan
Ken Kawakami Japan
S Liebe relative to K Marlicz Poland K Marlicz's profile →
Citations per field
00.5×3.6×
K Marlicz · 1×
Citations per year

Countries citing papers authored by S Liebe

Since Specialization
Citations

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

Fields of papers citing papers by S Liebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998143
2 1997107
3 199879
4 200134
5 199923
6 200122
7 199722
8 199915
9 199915
10
Serum levels of extracellular matrix in acute pancreatitis.
200014
11 199912
12 19988
13 19997
14 19996
15 19994
16
Pancreatitis in systemic scleroderma.
19974
17 19714
18 20023
19 19993
20 19982

About S Liebe

S Liebe is a scholar working on Surgery, Oncology, Molecular Biology, Genetics and Immunology, having authored 27 papers that have together received 533 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (8 papers), Pancreatitis Pathology and Treatment (5 papers), Fibroblast Growth Factor Research (3 papers), Pancreatic function and diabetes (2 papers), Phagocytosis and Immune Regulation (2 papers), Cancer Research and Treatments (2 papers), Cancer Cells and Metastasis (2 papers) and Gastrointestinal disorders and treatments (2 papers). The work is most often cited by research in Oncology (247 citations), Surgery (348 citations), Gastroenterology (27 citations), Biotechnology (29 citations) and Hepatology (25 citations). S Liebe has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Matthias Löhr, Jörg Emmrich, H Nizze, Gisela Sparmann, H.‐H. König, Iris Schmidt, P. G. Lankisch, Dirk Lehnick, Andres Jäschke and Petra Müller. Their work appears in journals such as Annals of the New York Academy of Sciences, Gut, Gastroenterology, BioTechniques and Pancreas.

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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