Daniela D. Pollak

77 papers receiving 2.5k citations

Peers

Daniela D. Pollak
Comparison fields: 5 of 117
  • Biological Psychiatry 618
  • Behavioral Neuroscience 603
  • Endocrine and Autonomic Systems 253
  • Developmental Neuroscience 138
  • Cellular and Molecular Neuroscience 571
Replace Vincenzo Micale with:
Vincenzo Micale Italy
Eva E. Redei United States
Juan F. López United States
Albert Pinhasov Israel
Sergio Scaccianoce Italy
Lynette C. Daws United States
Lalit K. Srivastava Canada
Alessandra Berry Italy
Dani Dumitriu United States
Jakob Hartmann Germany
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Citations per field
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Citations per year

Countries citing papers authored by Daniela D. Pollak

Since Specialization
Citations

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

Fields of papers citing papers by Daniela D. Pollak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela D. Pollak. 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 Daniela D. Pollak. The network helps show where Daniela D. Pollak may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011199
2 2015176
3 2011154
4 2010149
5 2008139
6 201999
7 201495
8 201387
9 201584
10 201683
11 201949
12 201047
13 201443
14 201943
15 201942
16 200542
17 201640
18 201539
19 201538
20 200538

About Daniela D. Pollak

Daniela D. Pollak is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Molecular Biology, Biological Psychiatry and Social Psychology, having authored 77 papers that have together received 2.5k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (20 papers), Tryptophan and brain disorders (18 papers), Neuroscience and Neuropharmacology Research (18 papers), Neuroendocrine regulation and behavior (15 papers), Circadian rhythm and melatonin (7 papers), Reproductive System and Pregnancy (7 papers), Mitochondrial Function and Pathology (6 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). The work is most often cited by research in Biological Psychiatry (618 citations), Behavioral Neuroscience (603 citations), Endocrine and Autonomic Systems (253 citations), Developmental Neuroscience (138 citations) and Cellular and Molecular Neuroscience (571 citations). Daniela D. Pollak has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Francisco J. Monje, Gert Lübec, Angelika Berger, Eryan Kong, Sonali N. Reisinger, Deeba Khan, Arnold Pollak, Marianne Ronovsky, Maureen Cabatic and Stefanie Berger. Their work appears in journals such as Annals of Medicine, Translational Psychiatry, Amino Acids, Brain Behavior and Immunity 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.

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