Martina Witsch‐Baumgartner

2.1k citations
36 papers · 1.3k indexed · h-index 16
Topics
Cholesterol and Lipid Metabolism (14 papers)Peroxisome Proliferator-Activated Receptors (8 papers)RNA and protein synthesis mechanisms (6 papers)

In The Last Decade

Martina Witsch‐Baumgartner

34 papers receiving 1.2k citations

Peers

Martina Witsch‐Baumgartner
Comparison fields: 5 of 82
  • Molecular Biology 835
  • Surgery 543
  • Genetics 219
  • Oncology 208
  • Cellular and Molecular Neuroscience 139
Replace Efraim H. Rosenberg with:
Efraim H. Rosenberg Netherlands
Masahiko Tosaka Japan
L.-C. Tsui Canada
Min-Sik Kim South Korea
Satsuki Matsushima Japan
Elisabetta Flex Italy
Minjie Luo United States
Keiko Tadokoro Japan
Ka‐Man Venus Lai United States
Roger A. Wagner United States
Martina Witsch‐Baumgartner relative to Efraim H. Rosenberg Netherlands Efraim H. Rosenberg's profile →
Citations per field
00.5×4.3×
Efraim H. Rosenberg · 1×
Citations per year

Countries citing papers authored by Martina Witsch‐Baumgartner

Since Specialization
Citations

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

Fields of papers citing papers by Martina Witsch‐Baumgartner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martina Witsch‐Baumgartner. 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 Martina Witsch‐Baumgartner. The network helps show where Martina Witsch‐Baumgartner may publish in the future.

Co-authorship network of co-authors of Martina Witsch‐Baumgartner

This figure shows the co-authorship network connecting the top 25 collaborators of Martina Witsch‐Baumgartner. A scholar is included among the top collaborators of Martina Witsch‐Baumgartner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martina Witsch‐Baumgartner. Martina Witsch‐Baumgartner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 1
4 14
5 56
6 4
7 14
8 6
9 30
10 10
11 10
12 18
13 100
14 25
15 26
16 26
17 62
18 18
19 53
20 154

About Martina Witsch‐Baumgartner

Martina Witsch‐Baumgartner is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (14 papers), Peroxisome Proliferator-Activated Receptors (8 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Otorhinolaryngology (74 citations), Biochemistry (92 citations) and Surgery (543 citations). Martina Witsch‐Baumgartner has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Gerd Utermann, Hartmut Glossmann, Barbara U. Fitzky, Fabian F. Moebius, Martin Erdel, Young‐Ki Paik, Judith Löffler‐Ragg, H. Zwierzina, Judith Löffler and Georg Mathias Sprinzl. Their work appears in journals such as Proceedings of the National Academy of Sciences, The American Journal of Human Genetics and British Journal of Cancer.

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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