Caroline Schweiger

814 citations
6 papers · 249 · h-index 5

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Cancer Cells and Metastasis

Papers in

    • Advanced biosensing and bioanalysis techniques 2
    • Epigenetics and DNA Methylation 2
    • Hedgehog Signaling Pathway Studies 1
    • RNA modifications and cancer 1
    • Cancer Genomics and Diagnostics 1

Caroline Schweiger

6 papers receiving 247 citations

Peers

Caroline Schweiger
Comparison fields: 5 of 56
  • Cancer Research 71
  • Oncology 86
  • Molecular Biology 161
  • Pathology and Forensic Medicine 34
  • Pharmacology 29
Replace Lakshmipathi Vadlakonda with:
Lakshmipathi Vadlakonda India
Xiaqing Xu China
Ping‐Hui Sun United Kingdom
Jaspreet Sharma United States
Haiyang Li China
Maged Zeineldin United States
Zhenping Chen United States
Kazumi Ohyama Japan
Céline Franckhauser France
Caroline Schweiger relative to Lakshmipathi Vadlakonda India Lakshmipathi Vadlakonda's profile →
Citations per field
00.5×1.5×2.2×
Lakshmipathi Vadlakonda · 1×
Citations per year

Countries citing papers authored by Caroline Schweiger

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Schweiger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2017109
2 201747
3 201937
4 201731
5 201724
6
Sensitive protein detection in microtiter plates by proximity ligation with rolling circle amplification (PLARCA)
20171

About Caroline Schweiger

Caroline Schweiger is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Surgery and Pharmacology, having authored 6 papers that have together received 249 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer Genomics and Diagnostics (1 paper), Genetic factors in colorectal cancer (1 paper), Nanofabrication and Lithography Techniques (1 paper), Hedgehog Signaling Pathway Studies (1 paper), Cancer Cells and Metastasis (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cancer Research (71 citations), Oncology (86 citations), Molecular Biology (161 citations), Pathology and Forensic Medicine (34 citations) and Pharmacology (29 citations). Caroline Schweiger has collaborated with scholars based in Germany, Austria and Sweden. Frequent co-authors include Johannes Haybaeck, Ulrich Keilholz, Nicole Golob‐Schwarzl, Dirk Schumacher, Christian Regenbrecht, Joseph L. Regan, Andreas Steffen, Reinhold Schäfer, Hans Lehrach and David Henderson. Their work appears in journals such as Cancer Medicine, Clinical Chemistry, International Journal of Cancer, Oncotarget and Cell Reports.

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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