Barbara Siegele

437 total citations
13 papers, 347 citations indexed

About

Barbara Siegele is a scholar working on Surgery, Molecular Biology and Immunology. According to data from OpenAlex, Barbara Siegele has authored 13 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Barbara Siegele's work include Lipoproteins and Cardiovascular Health (3 papers), Myasthenia Gravis and Thymoma (2 papers) and Cancer Genomics and Diagnostics (2 papers). Barbara Siegele is often cited by papers focused on Lipoproteins and Cardiovascular Health (3 papers), Myasthenia Gravis and Thymoma (2 papers) and Cancer Genomics and Diagnostics (2 papers). Barbara Siegele collaborates with scholars based in Germany and Austria. Barbara Siegele's co-authors include Stefan Holdenrieder, Oliver J. Stoetzer, Debora M.I. Fersching, Dorothea Nagel, Gloria Leszinski, Christoph Salat, Volker Heinemann, Bernd Schmidt, Oliver Stötzer and Uğur Gezer and has published in prestigious journals such as Neurology, Cancer Letters and Clinica Chimica Acta.

In The Last Decade

Barbara Siegele

10 papers receiving 332 citations

Peers

Barbara Siegele
Comparison fields: 5 of 60
  • Molecular Biology 162
  • Cancer Research 135
  • Oncology 86
  • Clinical Biochemistry 65
  • Immunology 49
Replace Hongwei Yang with:
Hongwei Yang China
Panagiota Tsioli Greece
Zhang Lin China
Debora M.I. Fersching Germany
Tamara Djurić Serbia
Wujian Peng China
Jai‐Nien Tung Taiwan
Cristina Clissa Italy
J Mayans Spain
Hongwei Yang China View profile →
Citations per field, relative to Barbara Siegele
Barbara Siegele · 1×
Citations per year, relative to Barbara Siegele
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Countries citing papers authored by Barbara Siegele

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Siegele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Siegele

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Siegele. A scholar is included among the top collaborators of Barbara Siegele 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 Barbara Siegele. Barbara Siegele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 37
2
Relevance of histone marks H3K9me3 and H4K20me3 in cancer.
52
3 68
4
Methodological and preanalytical evaluation of a RAGE immunoassay.
46
5
Apoptosis-related biomarkers sFAS, MIF, ICAM-1 and PAI-1 in serum of breast cancer patients undergoing neoadjuvant chemotherapy.
25
6 93
7 0
8 0
9 2
10 1
11 1
12 21
13 1

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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