Eva Göb
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Sensory Systems top 10%
Papers in ⓘ
-
- Nuclear Structure and Function 6
- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 4
- Ion channel regulation and function 2
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- Neuroinflammation and Neurodegeneration Mechanisms 6
- Co-authors
- Manfred Alsheimer (6 shared papers)Ricardo Benavente (6 shared papers)Christoph Kleinschnitz (14 shared papers)Sven G. Meuth (11 shared papers)Johannes Schmitt (3 shared papers)Peter Kraft (8 shared papers)Marc Brede (7 shared papers)Kerstin Göbel (6 shared papers)
- Journals
- Stroke (4 papers)PLoS Genetics (2 papers)Blood (2 papers)Pflügers Archiv - European Journal of Physiology (1 paper)Scientific Reports (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Eva Göb
20 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Neurology 307
- Sensory Systems 53
- Aging 16
- Genetics 94
- Molecular Biology 548
Countries citing papers authored by Eva Göb
This map shows the geographic impact of Eva Göb'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 Göb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Göb more than expected).
Fields of papers citing papers by Eva Göb
This network shows the impact of papers produced by Eva Göb. 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 Göb. The network helps show where Eva Göb may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Göb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 157 | |
| 2 | 2010 | 126 | |
| 3 | 2012 | 108 | |
| 4 | 2015 | 79 | |
| 5 | 2009 | 77 | |
| 6 | 2014 | 75 | |
| 7 | 2014 | 71 | |
| 8 | 2014 | 64 | |
| 9 | 2012 | 64 | |
| 10 | 2013 | 63 | |
| 11 | 2013 | 44 | |
| 12 | 2015 | 24 | |
| 13 | 2011 | 22 | |
| 14 | 2011 | 20 | |
| 15 | 2013 | 18 | |
| 16 | 2014 | 15 | |
| 17 | 2014 | 10 | |
| 18 | 2013 | 8 | |
| 19 | 2014 | 6 | |
| 20 | 2012 | 1 |
About Eva Göb
Eva Göb is a scholar working on Molecular Biology, Neurology, Genetics, Immunology and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nuclear Structure and Function (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (4 papers), Acute Ischemic Stroke Management (3 papers), Renin-Angiotensin System Studies (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Neurology (307 citations), Sensory Systems (53 citations), Aging (16 citations), Genetics (94 citations) and Molecular Biology (548 citations). Eva Göb has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Manfred Alsheimer, Ricardo Benavente, Christoph Kleinschnitz, Sven G. Meuth, Johannes Schmitt, Peter Kraft, Marc Brede, Kerstin Göbel, Guido Stoll and Bernhard Nieswandt. Their work appears in journals such as Stroke, PLoS Genetics, Blood, Pflügers Archiv - European Journal of Physiology and Scientific Reports.
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.