Malte Sgodda

1.2k citations
27 papers · 982 · h-index 15

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Virus-based gene therapy research
  • Hepatology top 5%
    • Liver physiology and pathology

Papers in

    • Pluripotent Stem Cells Research 17
    • Mesenchymal stem cell research 3
    • Virus-based gene therapy research 2

Malte Sgodda

24 papers receiving 952 citations

Peers

Malte Sgodda
Comparison fields: 5 of 52
  • Genetics 379
  • Hepatology 139
  • Molecular Biology 383
  • Pharmacology 37
  • Clinical Biochemistry 14
Replace Behshad Pournasr with:
Behshad Pournasr Iran
Milad Rezvani United States
Lutz Peter Mueller Germany
Regina Español‐Suñer United States
Ju Ah Jeong South Korea
Marcela Cristina Corrêa de Freitas Brazil
Fuyi Cheng China
Hongfeng Yuan China
Julia Driscoll United States
Insa S. Schroeder Germany
Malte Sgodda relative to Behshad Pournasr Iran Behshad Pournasr's profile →
Citations per field
00.5×2×2.8×
Behshad Pournasr · 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008302
2 2007155
3 201159
4 200854
5 201148
6 201646
7 201746
8 201337
9 201435
10 201329
11 201127
12 202125
13 201224
14 200919
15 201917
16 201612
17 20149
18 20138
19 20138
20 20117

About Malte Sgodda

Malte Sgodda is a scholar working on Molecular Biology, Genetics, Oncology, Genetics and Hepatology, having authored 27 papers that have together received 982 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (17 papers), Mesenchymal stem cell research (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Virus-based gene therapy research (2 papers), Iron Metabolism and Disorders (1 paper), Liver physiology and pathology (1 paper), Pediatric Hepatobiliary Diseases and Treatments (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Genetics (379 citations), Hepatology (139 citations), Molecular Biology (383 citations), Pharmacology (37 citations) and Clinical Biochemistry (14 citations). Malte Sgodda has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Bruno Christ, Tobias Cantz, Wolfgang E. Fleig, Matthias M. Dollinger, Thomas Liehr, Jan Georg Hengstler, Marc Brulport, Petra Kaltwaßer, Anja Weise and Harald Aurich. Their work appears in journals such as Biological Chemistry, Journal of Hepatology, Stem Cells and Development, Tissue Engineering Part A and Cells.

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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