Beate Boehme

402 citations
8 papers · 284 · h-index 7

Impact in

  • Nephrology top 5%
    • Parathyroid Disorders and Treatments
    • Dialysis and Renal Disease Management
    • Bone and Dental Protein Studies

Papers in

    • Parathyroid Disorders and Treatments 6
    • Sphingolipid Metabolism and Signaling 1
    • Bone Metabolism and Diseases 1

Beate Boehme

8 papers receiving 283 citations

Peers

Beate Boehme
Comparison fields: 5 of 55
  • Nephrology 125
  • Rheumatology 39
  • Genetics 63
  • Nutrition and Dietetics 31
  • Cancer Research 22
Replace Nina Bon with:
Nina Bon France
Anne Forand France
Shunji Shiohira Japan
Yukana Chihara Japan
Corey Dussold United States
Jan D. Lanzer Germany
Elliott Chum Canada
Udo Schnitzbauer Switzerland
Jingsong Shi China
Janaina S. Martins United States
Beate Boehme relative to Nina Bon France Nina Bon's profile →
Citations per field
00.5×1.5×2.4×
Nina Bon · 1×
Citations per year

Countries citing papers authored by Beate Boehme

Since Specialization
Citations

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

Fields of papers citing papers by Beate Boehme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2018131
2 201846
3 201944
4 201918
5 202115
6 202215
7 201814
8 20051

About Beate Boehme

Beate Boehme is a scholar working on Nephrology, Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 284 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (6 papers), Dermatological and Skeletal Disorders (3 papers), Sphingolipid Metabolism and Signaling (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Optical measurement and interference techniques (1 paper), Adaptive optics and wavefront sensing (1 paper), Oral and gingival health research (1 paper) and Bone Metabolism and Diseases (1 paper). The work is most often cited by research in Nephrology (125 citations), Rheumatology (39 citations), Genetics (63 citations), Nutrition and Dietetics (31 citations) and Cancer Research (22 citations). Beate Boehme has collaborated with scholars based in Germany, Austria and Greece. Frequent co-authors include Ioana Alesutan, Jakob Voelkl, Burkert Pieske, Trang T. D. Luong, Florian Läng, Daniel Zickler, Kai‐Uwe Eckardt, Rashad Tuffaha, Kerstin Amann and Maik Gollasch. Their work appears in journals such as Journal of Clinical Investigation, Clinical Science, Kidney & Blood Pressure Research, Cellular Physiology and Biochemistry and Cellular Signalling.

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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