Eva Brand

139 papers receiving 4.2k citations

Peers

Eva Brand
Comparison fields: 5 of 132
  • Physiology 1.4k
  • Endocrinology, Diabetes and Metabolism 888
  • Cardiology and Cardiovascular Medicine 997
  • Nephrology 239
  • Cell Biology 376
Replace Tetsuro Ago with:
Tetsuro Ago Japan
Pawel M. Kaminski United States
Dong Sun United States
Toshihiro Ichiki Japan
Mara Lorenzi United States
Yasuhiro Izumiya Japan
Lin Chang United States
Cor de Wit Germany
Georg Kojda Germany
Eiki Takimoto United States
Eva Brand relative to Tetsuro Ago Japan Tetsuro Ago's profile →
Citations per field
00.5×3.5×
Tetsuro Ago · 1×
Citations per year

Countries citing papers authored by Eva Brand

Since Specialization
Citations

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

Fields of papers citing papers by Eva Brand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998201
2 2008200
3 2001179
4 1999168
5 2009157
6 2000126
7 2015100
8 201295
9 202190
10 201887
11 201087
12 199985
13 200178
14 201875
15 200274
16 201371
17 199871
18 200371
19 200265
20 201863

About Eva Brand

Eva Brand is a scholar working on Physiology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 142 papers that have together received 4.3k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (54 papers), Hormonal Regulation and Hypertension (25 papers), Renin-Angiotensin System Studies (16 papers), Carbohydrate Chemistry and Synthesis (14 papers), Trypanosoma species research and implications (14 papers), Cellular transport and secretion (12 papers), Glycogen Storage Diseases and Myoclonus (6 papers) and Biomedical Research and Pathophysiology (5 papers). The work is most often cited by research in Physiology (1.4k citations), Endocrinology, Diabetes and Metabolism (888 citations), Cardiology and Cardiovascular Medicine (997 citations), Nephrology (239 citations) and Cell Biology (376 citations). Eva Brand has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Malte Lenders, Stefan-Martin Herrmann, Jan A. Staessen, Boris Schmitz, Stefan‐Martin Brand, Florent Soubrier, Ji‐Guang Wang, Thomas Duning, Giuseppe Bianchi and Nathalie Chatelain. Their work appears in journals such as Journal of Hypertension, Molecular Genetics and Metabolism, Hypertension, Journal of the American Society of Nephrology and Orphanet Journal of Rare Diseases.

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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