Jan Haaker

2.7k citations
42 papers · 1.3k · h-index 20

Impact in

Papers in

Jan Haaker

40 papers receiving 1.3k citations

Peers

Jan Haaker
Comparison fields: 5 of 86
  • Behavioral Neuroscience 464
  • Cognitive Neuroscience 819
  • Biological Psychiatry 44
  • Experimental and Cognitive Psychology 255
  • Social Psychology 373
Replace Justin M. Moscarello with:
Justin M. Moscarello United States
Lindsey Ossewaarde Netherlands
Armita Golkar Sweden
Ruben P. Alvarez United States
Marijn C. W. Kroes Netherlands
F. Caroline Davis United States
David T. Hsu United States
Suzanne N. Avery United States
Jan Schweckendiek Germany
Katharina Tabbert Germany
Jan Haaker relative to Justin M. Moscarello United States Justin M. Moscarello's profile →
Citations per field
00.5×1.6×
Justin M. Moscarello · 1×
Citations per year

Countries citing papers authored by Jan Haaker

Since Specialization
Citations

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

Fields of papers citing papers by Jan Haaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014141
2 2013135
3 2017102
4 201474
5 201569
6 202064
7 201964
8 201559
9 201757
10 201754
11 201752
12 201541
13 201540
14 201039
15 201435
16 201335
17 201534
18 201529
19 202122
20 201320

About Jan Haaker

Jan Haaker is a scholar working on Cognitive Neuroscience, Behavioral Neuroscience, Social Psychology, Cellular and Molecular Neuroscience and Clinical Psychology, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (21 papers), Stress Responses and Cortisol (16 papers), Neuroendocrine regulation and behavior (13 papers), Neuroscience and Neuropharmacology Research (7 papers), Psychology of Moral and Emotional Judgment (3 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Behavioral Health and Interventions (2 papers). The work is most often cited by research in Behavioral Neuroscience (464 citations), Cognitive Neuroscience (819 citations), Biological Psychiatry (44 citations), Experimental and Cognitive Psychology (255 citations) and Social Psychology (373 citations). Jan Haaker has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Tina B. Lonsdorf, Raffaël Kalisch, Andreas Olsson, Armita Golkar, Dirk Schümann, Mareike M. Menz, Nico Bunzeck, Stefanie Brassen, Matthias Gamer and Björn Lindström. Their work appears in journals such as Social Cognitive and Affective Neuroscience, NeuroImage, Neuropsychopharmacology, Journal of Psychiatry and Neuroscience 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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