Eva Berger

31 papers receiving 991 citations

Eva Berger's Hit Papers

Genome Sequencing for Diagnosing Rare Diseases 2024 · 101 citations
1010+1Years since publication255075100

Peers

Eva Berger
Comparison fields: 5 of 110
  • Endocrine and Autonomic Systems 183
  • Behavioral Neuroscience 36
  • Biological Psychiatry 23
  • Molecular Biology 525
  • Cellular and Molecular Neuroscience 134
Replace Sy‐Jye Leu with:
Sy‐Jye Leu Taiwan
Lars Kunz Germany
Youngjeon Lee South Korea
Rafael Fernández-Montesinos Spain
Yadong Li China
Narinobu Juge Japan
Zoltán Péterfi Hungary
Camila Squarzoni Dale Brazil
William Même France
Eva Berger relative to Sy‐Jye Leu Taiwan Sy‐Jye Leu's profile →
Citations per field
00.5×1.5×2×2.4×
Sy‐Jye Leu · 1×
Citations per year

Countries citing papers authored by Eva Berger

Since Specialization
Citations

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

Fields of papers citing papers by Eva Berger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Berger, 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 Berger Line = papers co-authored together Eva Berger 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 2002149
2
Genome Sequencing for Diagnosing Rare Diseases
Hit paper breakdown →
2024101
3 201897
4 200181
5 201681
6 200366
7 201764
8 200462
9 201735
10 200134
11
Studies on the effect of ethylenediaminetetraacetic acid in hypercalcemia.
195632
12 200231
13 200230
14 195628
15 195726
16 200225
17 201624
18 200119
19 200513
20 200913

About Eva Berger

Eva Berger is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrine and Autonomic Systems, Molecular Biology, Virology and Spectroscopy, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Protein purification and stability (7 papers), Analytical Chemistry and Chromatography (3 papers), Chemical Synthesis and Analysis (3 papers), Circadian rhythm and melatonin (3 papers), Bacteriophages and microbial interactions (3 papers), RNA and protein synthesis mechanisms (3 papers) and Neuroendocrine regulation and behavior (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (183 citations), Behavioral Neuroscience (36 citations), Biological Psychiatry (23 citations), Molecular Biology (525 citations) and Cellular and Molecular Neuroscience (134 citations). Eva Berger has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Alois Jungbauer, Ulrich Mußhoff, Erwin‐Josef Speckmann, Astrid Dürauer, Mark Duerkop, Erwin Josef Speckmann, Rainer Hahn, Petra Steppert, Andres Tover and Daniel Burgstaller. Their work appears in journals such as Journal of Chromatography A, Journal of Pineal Research, Neurobiology of Disease, Analytical Chemistry and Separation and Purification Technology.

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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