Susanne Weißert

923 total citations
9 papers, 693 citations indexed

About

Susanne Weißert is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Susanne Weißert has authored 9 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cancer Research. Recurrent topics in Susanne Weißert's work include Glioma Diagnosis and Treatment (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). Susanne Weißert is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). Susanne Weißert collaborates with scholars based in United Kingdom, Germany and Denmark. Susanne Weißert's co-authors include Jörg Balß, Andreas von Deimling, David Capper, Hanswalter Zentgraf, Andrey Korshunov, Christian Hartmann, Jochen Meyer, Claudia Tessmer, Antje Habel and Stefan Pusch and has published in prestigious journals such as Circulation, Heart and European Journal of Heart Failure.

In The Last Decade

Susanne Weißert

8 papers receiving 686 citations

Peers

Susanne Weißert
Comparison fields: 5 of 79
  • Genetics 425
  • Cancer Research 236
  • Molecular Biology 194
  • Pulmonary and Respiratory Medicine 126
  • Cardiology and Cardiovascular Medicine 104
Replace Marina Faedi with:
Marina Faedi Italy
Mohammed H Alam United Kingdom
Patrick D. Evers United States
Dachun Zhao China
Isabelle Nanni France
A. S. Ciampa United States
Debra C. LaFrankie United States
Dusten Unruh United States
Manabu Natsumeda Japan
Kevin S. Choe United States
Marina Faedi Italy View profile →
Citations per field, relative to Susanne Weißert
Susanne Weißert · 1×
Citations per year, relative to Susanne Weißert
Susanne Weißert · 1×

Countries citing papers authored by Susanne Weißert

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Weißert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Weißert

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 101
2 63
3 61
4 54
5 8
6
Abstract 16398: Prognostic Utility of the Hemoglobin/Hematocrit Equation for Estimating Plasma Volume Changes Over Time in Chronic Heart Failure
1
7 6
8 0
9 399

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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2026