Malte Sgodda

1.2k citations
26 papers · 957 · h-index 15

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Pluripotent Stem Cells Research 13
    • CRISPR and Genetic Engineering 9
    • Renal and related cancers 3
    • Pancreatic function and diabetes 4

Malte Sgodda

23 papers receiving 923 citations

Peers

Malte Sgodda
Comparison fields: 5 of 65
  • Hepatology 266
  • Genetics 297
  • Surgery 369
  • Molecular Biology 482
  • Biomaterials 58
Replace Jana Luetzkendorf with:
Jana Luetzkendorf Germany
Randall McClelland United States
Zhiyong Du China
Yasushi Takahama Japan
William S. Turner United States
A Anjo France
Flavia Piccioni Argentina
Lourdes Cortes‐Dericks Germany
Nataša Levičar United Kingdom
Hongfeng Yuan China
Malte Sgodda relative to Jana Luetzkendorf Germany Jana Luetzkendorf's profile →
Citations per field
00.5×1.5×1.9×
Jana Luetzkendorf · 1×
Citations per year

Countries citing papers authored by Malte Sgodda

Since Specialization
Citations

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

Fields of papers citing papers by Malte Sgodda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008300
2 2007155
3 201157
4 200856
5 201146
6 201745
7 201643
8 201335
9 201434
10 201329
11 201125
12 202124
13 201223
14 200919
15 201917
16 201612
17 20149
18 20138
19 20116
20 20116

About Malte Sgodda

Malte Sgodda is a scholar working on Molecular Biology, Surgery, Oncology, Genetics and Genetics, having authored 26 papers that have together received 957 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (9 papers), Pancreatic function and diabetes (4 papers), Liver physiology and pathology (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Renal and related cancers (3 papers), Mesenchymal stem cell research (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Hepatology (266 citations), Genetics (297 citations), Surgery (369 citations), Molecular Biology (482 citations) and Biomaterials (58 citations). Malte Sgodda has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Bruno Christ, Matthias Dollinger, Wolfgang E. Fleig, Tobias Cantz, Thomas Liehr, P Kaltwaßer, Marcel Vetter, Anja Weise, Jan G. Hengstler and H. Aurich. Their work appears in journals such as Biological Chemistry, Current Molecular Medicine, Tissue Engineering Part A, Cells and Stem Cells and Development.

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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