Gesine Pleß

814 citations
17 papers · 588 · h-index 14

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
  • Surgery top 10%
    • Organ Transplantation Techniques and Outcomes
    • Pancreatic function and diabetes
    • Tissue Engineering and Regenerative Medicine

Papers in

    • Organ Transplantation Techniques and Outcomes 11
    • Tissue Engineering and Regenerative Medicine 5
    • Pancreatic function and diabetes 4
    • Liver physiology and pathology 10
    • Liver Disease and Transplantation 4

Gesine Pleß

17 papers receiving 566 citations

Peers

Gesine Pleß
Comparison fields: 5 of 105
  • Hepatology 297
  • Surgery 341
  • Pharmacology 44
  • Communication 27
  • Biomedical Engineering 129
Replace Ermei Chen with:
Ermei Chen China
Marie‐Gwenaelle Poullain France
Renpeng Li China
Maria F. Leite Brazil
Daniel J. Trepanier Canada
Yujie Fan China
Lijie Ma China
Stéphane Poulain Japan
Jingwen Zou China
Nam Soon Kim South Korea
Gesine Pleß relative to Ermei Chen China Ermei Chen's profile →
Citations per field
00.5×4.3×
Ermei Chen · 1×
Citations per year

Countries citing papers authored by Gesine Pleß

Since Specialization
Citations

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

Fields of papers citing papers by Gesine Pleß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200691
2 200379
3 200373
4 200554
5 201144
6 200239
7 200734
8 200732
9 200621
10 200821
11 201021
12 201420
13 200315
14 200314
15 200712
16 200510
17 20058

About Gesine Pleß

Gesine Pleß is a scholar working on Surgery, Hepatology, Molecular Biology, Epidemiology and Biomedical Engineering, having authored 17 papers that have together received 588 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (11 papers), Liver physiology and pathology (10 papers), Tissue Engineering and Regenerative Medicine (5 papers), Pancreatic function and diabetes (4 papers), Liver Disease and Transplantation (4 papers), Liver Disease Diagnosis and Treatment (2 papers), 3D Printing in Biomedical Research (2 papers) and Wikis in Education and Collaboration (1 paper). The work is most often cited by research in Hepatology (297 citations), Surgery (341 citations), Pharmacology (44 citations), Communication (27 citations) and Biomedical Engineering (129 citations). Gesine Pleß has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Igor M. Sauer, P. Neuhaus, Ruth Schwartländer, Katrin Zeilinger, Е. А. Ефимова, Florian W. R. Vondran, Ursula Rauen, Jörg C. Gerlach, Andreas Pascher and J Gerlach. Their work appears in journals such as Artificial Organs, Tissue Engineering, Journal of Hepatology, Alternatives to Laboratory Animals and Endocrinology.

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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