Ilka Mathar

31 papers receiving 1.6k citations

Peers

Ilka Mathar
Comparison fields: 5 of 51
  • Sensory Systems 621
  • Nephrology 112
  • Cardiology and Cardiovascular Medicine 151
  • Cellular and Molecular Neuroscience 28
  • Immunology 34
Replace Kazuya Togashi with:
Kazuya Togashi Japan
Fiona Anne Russell United Kingdom
Alice Krebsová Czechia
Mallikarjuna R. Pabbidi United States
Richard M. Raymond United States
Romain Guinamard France
Wencheng Li United States
Julie L. Lavoie Canada
Gail J. Harty United States
Han‐Gang Yu United States
Ilka Mathar relative to Kazuya Togashi Japan Kazuya Togashi's profile →
Citations per field
00.5×5×10×15×21.6×
Kazuya Togashi · 1×
Citations per year

Countries citing papers authored by Ilka Mathar

Since Specialization
Citations

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

Fields of papers citing papers by Ilka Mathar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008347
2 2007232
3 2010140
4 2021117
5 201799
6 201596
7 201172
8 201371
9 201459
10 201837
11 201937
12 201736
13 202131
14 201728
15 201828
16 202328
17 202020
18 201414
19 201513
20 201613

About Ilka Mathar

Ilka Mathar is a scholar working on Sensory Systems, Nephrology, Physiology, Clinical Biochemistry and Physiology, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ion Channels and Receptors (8 papers), Chronic Kidney Disease and Diabetes (4 papers), Nitric Oxide and Endothelin Effects (2 papers), Muscle Physiology and Disorders (1 paper), Pulmonary Hypertension Research and Treatments (1 paper), Acute Kidney Injury Research (1 paper), Calcium signaling and nucleotide metabolism (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Sensory Systems (621 citations), Nephrology (112 citations), Cardiology and Cardiovascular Medicine (151 citations), Cellular and Molecular Neuroscience (28 citations) and Immunology (34 citations). Ilka Mathar has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Veit Flockerzi, Marc Freichel, Stephan Ernst Philipp, Rudi Vennekens, Stefanie Mannebach, Bernd Nilius, Thomas F.J. Wagner, Johannes Oberwinkler, Isabelle Straub and Sachar Lambert. Their work appears in journals such as Journal of Clinical Investigation, International Journal of Molecular Sciences, Journal of Visualized Experiments, The EMBO Journal and Naunyn-Schmiedeberg s Archives of Pharmacology.

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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