Anne Ebert

87 papers receiving 2.0k citations

Peers

Anne Ebert
Comparison fields: 5 of 117
  • Neurology 403
  • Internal Medicine 86
  • Critical Care and Intensive Care Medicine 119
  • Developmental Neuroscience 65
  • Epidemiology 420
Replace Mitchell F. Berman with:
Mitchell F. Berman United States
Sebastian Koch United States
Kristina Szabo Germany
Zeev Feldman Israel
Thomas Gattringer Austria
Yvonne W. Wu United States
Robert Laureno United States
Victor Urrutia United States
José G. Merino United States
Monisha A. Kumar United States
Anne Ebert relative to Mitchell F. Berman United States Mitchell F. Berman's profile →
Citations per field
00.5×1.7×
Mitchell F. Berman · 1×
Citations per year

Countries citing papers authored by Anne Ebert

Since Specialization
Citations

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

Fields of papers citing papers by Anne Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999215
2 2012199
3 2000155
4 2000135
5 2004126
6 2020124
7 2020111
8 200160
9 201550
10 199950
11 200943
12 202041
13 201535
14 201532
15 201632
16 201629
17 201527
18 200026
19 200126
20 201326

About Anne Ebert

Anne Ebert is a scholar working on Cognitive Neuroscience, Epidemiology, Neurology, Pathology and Forensic Medicine and Molecular Biology, having authored 91 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (10 papers), Memory and Neural Mechanisms (10 papers), Multiple Sclerosis Research Studies (7 papers), Neuroscience and Neuropharmacology Research (5 papers), COVID-19 and healthcare impacts (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers), S100 Proteins and Annexins (4 papers) and Genetic Neurodegenerative Diseases (4 papers). The work is most often cited by research in Neurology (403 citations), Internal Medicine (86 citations), Critical Care and Intensive Care Medicine (119 citations), Developmental Neuroscience (65 citations) and Epidemiology (420 citations). Anne Ebert has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Manfred Herrmann, Kristina Szabo, Michael T. Wunderlich, Michael G. Hennerici, Stefan Jost, Torsten Kratz, Michael Platten, Christof Huth, Carolin Hoyer and Marc Fatar. Their work appears in journals such as Stroke, Journal of Stroke and Cerebrovascular Diseases, Journal of Neuroimaging, Journal of the Neurological Sciences and Journal of Neurology.

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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