Heather C. Lasseter

1.1k citations
20 papers · 781 · h-index 15

Impact in

Papers in

Heather C. Lasseter

18 papers receiving 774 citations

Peers

Heather C. Lasseter
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 586
  • Cognitive Neuroscience 384
  • Behavioral Neuroscience 57
  • Biological Psychiatry 21
  • Developmental Neuroscience 30
Replace Donna R. Ramirez with:
Donna R. Ramirez United States
Peter A. Groblewski United States
Tosha Patel United States
Yu Kasugai Austria
M. Kodsi United States
Florian Bähner Germany
Paul G. Anastasiades United States
Lifen Xue China
Audrey M. Wells United States
Stéphanie Alaux‐Cantin France
Heather C. Lasseter relative to Donna R. Ramirez United States Donna R. Ramirez's profile →
Citations per field
00.5×
Donna R. Ramirez · 1×
Citations per year

Countries citing papers authored by Heather C. Lasseter

Since Specialization
Citations

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

Fields of papers citing papers by Heather C. Lasseter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather C. Lasseter. 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 Heather C. Lasseter. The network helps show where Heather C. Lasseter may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200977
2 201075
3 200870
4 201168
5 200964
6 201263
7 201061
8 200957
9 200953
10 201150
11 202039
12 200832
13 201328
14 202216
15 201914
16 20217
17 20194
18 20203
19 20210
20 20210

About Heather C. Lasseter

Heather C. Lasseter is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Social Psychology and Biological Psychiatry, having authored 20 papers that have together received 781 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (12 papers), Neuroscience and Neuropharmacology Research (10 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Receptor Mechanisms and Signaling (4 papers), Neuroendocrine regulation and behavior (2 papers), Traumatic Brain Injury Research (2 papers), Tryptophan and brain disorders (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (586 citations), Cognitive Neuroscience (384 citations), Behavioral Neuroscience (57 citations), Biological Psychiatry (21 citations) and Developmental Neuroscience (30 citations). Heather C. Lasseter has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Rita A. Fuchs, Xiaohu Xie, Donna R. Ramirez, Audrey M. Wells, Amy A. Arguello, Guinevere H. Bell, Peter C. Holland, Andreas Jeromin, Lauren Chaby and Magali Haas. Their work appears in journals such as Neuropsychopharmacology, European Journal of Neuroscience, Current topics in behavioral neurosciences, Neuroscience and Current Opinion in Behavioral Sciences.

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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