S Liebe

684 citations
27 papers · 570 · h-index 11

Impact in

  • Surgery top 10%
    • Pancreatitis Pathology and Treatment
    • Pancreatic function and diabetes
    • Gastrointestinal disorders and treatments
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis

Papers in

    • Pancreatitis Pathology and Treatment 4
    • Helicobacter pylori-related gastroenterology studies 2
    • Pancreatic function and diabetes 2
    • Pancreatic and Hepatic Oncology Research 6
    • Cancer Cells and Metastasis 2

S Liebe

25 papers receiving 546 citations

Peers

S Liebe
Comparison fields: 5 of 69
  • Surgery 329
  • Oncology 168
  • Gastroenterology 19
  • Hepatology 22
  • Biotechnology 27
Replace Masanori Morita with:
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Koji Sasajima Japan
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Weixin Niu China
Sally E. Hodges United States
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Kah Hoong Chang Ireland
Ioannis D. Kostakis Greece
Junko Kishikawa Japan
S Liebe relative to Masanori Morita Japan Masanori Morita's profile →
Citations per field
00.5×4.2×
Masanori Morita · 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 1998153
2 1997113
3 199885
4 200135
5 199929
6 199723
7 200122
8 199917
9 199915
10
Serum levels of extracellular matrix in acute pancreatitis.
200014
11 199913
12 199810
13 19997
14 19996
15 19716
16 19994
17
Pancreatitis in systemic scleroderma.
19974
18 20023
19 19993
20 19982

About S Liebe

S Liebe is a scholar working on Surgery, Oncology, Molecular Biology, Immunology and Pathology and Forensic Medicine, having authored 27 papers that have together received 570 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (6 papers), Pancreatitis Pathology and Treatment (4 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Cancer Cells and Metastasis (2 papers), Cancer Research and Treatments (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Phagocytosis and Immune Regulation (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Surgery (329 citations), Oncology (168 citations), Gastroenterology (19 citations), Hepatology (22 citations) and Biotechnology (27 citations). S Liebe has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Matthias Löhr, Jörg Emmrich, H Nizze, Iris Schmidt, P. G. Lankisch, H.‐H. König, Dirk Lehnick, Gisela Sparmann, Andres Jäschke and Petra Müller. Their work appears in journals such as Annals of the New York Academy of Sciences, Gastroenterology, Gut, European Journal of Clinical Investigation and BioTechniques.

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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