Susanne Mathia

499 citations
19 papers · 366 · h-index 12

Impact in

  • Nephrology top 5%
    • Acute Kidney Injury Research
    • Chronic Kidney Disease and Diabetes
    • Cancer, Hypoxia, and Metabolism

Papers in

    • S100 Proteins and Annexins 2
    • Ubiquitin and proteasome pathways 1
    • Epigenetics and DNA Methylation 1
    • Cancer, Hypoxia, and Metabolism 3

Susanne Mathia

18 papers receiving 364 citations

Peers

Susanne Mathia
Comparison fields: 5 of 67
  • Nephrology 91
  • Cancer Research 70
  • Transplantation 7
  • Molecular Biology 156
  • Genetics 19
Replace Jian-Kan Guo with:
Jian-Kan Guo United States
Lena Succar Australia
C.J.I. Raats Netherlands
Kathrin Hochegger Austria
M. Forino Italy
Eryn E. Dixon United States
Yuqiu Lu China
Anne K. Berfield United States
Giorgia Mandrile Italy
China Nagano Japan
Susanne Mathia relative to Jian-Kan Guo United States Jian-Kan Guo's profile →
Citations per field
00.5×3.0×
Jian-Kan Guo · 1×
Citations per year

Countries citing papers authored by Susanne Mathia

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Mathia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201361
2 200942
3 202037
4 201335
5 201134
6 201821
7 201321
8 201620
9 201618
10 201714
11 201311
12 201911
13 201810
14 202210
15 20188
16 20137
17 20194
18 20242
19 20240

About Susanne Mathia

Susanne Mathia is a scholar working on Molecular Biology, Cancer Research, Surgery, Genetics and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 366 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Nitric Oxide and Endothelin Effects (2 papers), S100 Proteins and Annexins (2 papers), Muscle and Compartmental Disorders (2 papers), Acute Myeloid Leukemia Research (1 paper), Biomarkers in Disease Mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Nephrology (91 citations), Cancer Research (70 citations), Transplantation (7 citations), Molecular Biology (156 citations) and Genetics (19 citations). Susanne Mathia has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Christian Rosenberger, Pontus B. Persson, Michael Fähling, Alexander Paliege, Harm Peters, Robert Koesters, Hans‐Hellmut Neumayer, Ralf Mrowka, Sebastian Bachmann and Stefan Mundlos. Their work appears in journals such as Acta Physiologica, American Journal of Physiology-Renal Physiology, Molecular and Cellular Biology, Cellular Physiology and Biochemistry and Kidney International.

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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