Daniela Schulz

2.6k citations
60 papers · 2.2k · h-index 24

Impact in

Papers in

Daniela Schulz

58 papers receiving 2.1k citations

Peers

Daniela Schulz
Comparison fields: 5 of 119
  • Behavioral Neuroscience 342
  • Biological Psychiatry 234
  • Cellular and Molecular Neuroscience 840
  • Cognitive Neuroscience 538
  • Endocrine and Autonomic Systems 99
Replace Ravikumar Ponnusamy with:
Ravikumar Ponnusamy United States
Pierre Trifilieff France
Bernhard Bogerts Germany
Caroline Dias United States
Inés Ibáñez-Tallon United States
Jonathan L. Brigman United States
Carina Soares‐Cunha Portugal
Helen Miller United Kingdom
Ana Carolina Martins Fragoso Carneiro United States
Daniela Brunner United States
Daniela Schulz relative to Ravikumar Ponnusamy United States Ravikumar Ponnusamy's profile →
Citations per field
00.5×2×3.4×
Ravikumar Ponnusamy · 1×
Citations per year

Countries citing papers authored by Daniela Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011523
2 2002184
3 2011104
4 200089
5 201188
6 201473
7 200666
8 201065
9 202256
10 200255
11 200051
12 201349
13 200446
14 202243
15 200742
16 200541
17 200537
18 200936
19 202036
20 200934

About Daniela Schulz

Daniela Schulz is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Social Psychology and Oncology, having authored 60 papers that have together received 2.2k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (14 papers), Memory and Neural Mechanisms (13 papers), Neurotransmitter Receptor Influence on Behavior (10 papers), Neuroendocrine regulation and behavior (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Cancer Immunotherapy and Biomarkers (7 papers), CAR-T cell therapy research (4 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Behavioral Neuroscience (342 citations), Biological Psychiatry (234 citations), Cellular and Molecular Neuroscience (840 citations), Cognitive Neuroscience (538 citations) and Endocrine and Autonomic Systems (99 citations). Daniela Schulz has collaborated with scholars based in Germany, United States and Türkiye. Frequent co-authors include Fritz A. Henn, Martine M. Mirrione, Resit S. Canbeyli, Joseph P. Huston, Roberto Malinow, Joaquín Piriz, Bo Li, ChiHye Chung, Christophe D. Proulx and Bianca Topic. Their work appears in journals such as Neurobiology of Learning and Memory, International Journal of Molecular Sciences, Behavioural Brain Research, Cancers and Reviews in the Neurosciences.

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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