Michaela Bissinger

877 citations
16 papers · 549 indexed · h-index 11
  • Cell Biology top 10%
    • Hippo pathway signaling and YAP/TAZ 4
    • Cellular Mechanics and Interactions 4
    • Liver physiology and pathology 4
    • Ubiquitin and proteasome pathways 5
    • Wnt/β-catenin signaling in development and cancer 4
    • RNA modifications and cancer 2
    • Cancer-related Molecular Pathways 4
    • Liver Disease Diagnosis and Treatment 3

Michaela Bissinger

16 papers receiving 542 citations

Peers

Michaela Bissinger
Comparison fields: 5 of 57
  • Cancer Research 172
  • Cell Biology 129
  • Hepatology 45
  • Molecular Biology 387
  • Oncology 101
Replace Veerabrahma Pratap Seshachalam with:
Veerabrahma Pratap Seshachalam Singapore
Hongzhi Zou United States
Rafał Pawłowski United Kingdom
Jiafei Lin China
Chengdong Qin China
María Elizalde Spain
Karthik Sekar Singapore
Yibin Ren China
Xiaoyan Lin China
Michaela Bissinger relative to Veerabrahma Pratap Seshachalam Singapore Veerabrahma Pratap Seshachalam's profile →
Citations per field
00.5×1.5×2.3×
Veerabrahma Pratap Seshachalam · 1×
Citations per year

Countries citing papers authored by Michaela Bissinger

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Bissinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20249
2 20245
3 202041
4 202033
5 201716
6 20171
7 201555
8 201437
9 20132
10 201223
11 20125
12 201140
13 200983
14 200992
15 200817
16 200890

About Michaela Bissinger

Michaela Bissinger is a scholar working on Hepatology, Cell Biology and Pharmaceutical Science, having authored 16 papers that have together received 549 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Liver physiology and pathology (4 papers), Cancer-related Molecular Pathways (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Cellular Mechanics and Interactions (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (172 citations), Cell Biology (129 citations) and Hepatology (45 citations). Michaela Bissinger has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Peter Schirmacher, Kai Breuhahn, Mona Malz, Jana Samarin, Norbert Gretz, Stephan Singer, Volker Ehemann, Thomas Longerich, Achim Weber and Marc‐Oliver Riener. Their work appears in journals such as Hepatology, Cancer Letters, Frontiers in Physiology, Cancer Research and Journal of Hepatology.

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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