M Ledermann

1.1k citations
23 papers · 866 · h-index 13

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Liver physiology and pathology 8
    • Hepatocellular Carcinoma Treatment and Prognosis 3
    • Angiogenesis and VEGF in Cancer 1

M Ledermann

23 papers receiving 853 citations

Peers

M Ledermann
Comparison fields: 5 of 81
  • Hepatology 314
  • Transplantation 30
  • Epidemiology 227
  • Pharmacology 36
  • Molecular Biology 271
Replace Zhuolun Song with:
Zhuolun Song China
Hiroto Kumemura Japan
Shusen Zheng China
Rie Irie Japan
Shuichi Aoki Japan
Thorsten Lehmann Germany
Tetsuya Yasunaka Japan
Guandou Yuan China
Zahra Ghiassi–Nejad United States
Jürgen Kropf Germany
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Citations per field
00.5×8.1×
Zhuolun Song · 1×
Citations per year

Countries citing papers authored by M Ledermann

Since Specialization
Citations

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

Fields of papers citing papers by M Ledermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009132
2 2006117
3 2010105
4 200988
5 200279
6 200574
7 200569
8 200352
9 200746
10 200726
11 200024
12 201014
13 200513
14
[Traumatic rupture of the Achilles tendon and hyperlipidemia].
19848
15
[Surgical treatment of infection after osteosynthesis].
19706
16 20105
17 20022
18 20111
19 20021
20 20091

About M Ledermann

M Ledermann is a scholar working on Hepatology, Molecular Biology, Surgery, Epidemiology and Pathology and Forensic Medicine, having authored 23 papers that have together received 866 indexed citations. Recurring topics across this work include Liver physiology and pathology (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Organ Transplantation Techniques and Outcomes (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Diet and metabolism studies (1 paper) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Hepatology (314 citations), Transplantation (30 citations), Epidemiology (227 citations), Pharmacology (36 citations) and Molecular Biology (271 citations). M Ledermann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Vreni Schneider, Markus Neef, Jean‐François Dufour, Juerg Reichen, Eleonora Patsenker, Felix Stickel, Hans Sägesser, C. Redaelli, David Semela and Josef Slavík. Their work appears in journals such as Journal of Hepatology, Hepatology, Liver International, International Journal of Radiation Biology and Journal of drug targeting.

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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