Lydia E. Kuo

10 papers receiving 974 citations

Peers

Lydia E. Kuo
Comparison fields: 5 of 98
  • Behavioral Neuroscience 125
  • Endocrine and Autonomic Systems 212
  • Cellular and Molecular Neuroscience 356
  • Developmental Neuroscience 47
  • Physiology 291
Replace Kazuhiko Shibata with:
Kazuhiko Shibata Japan
Stephen B. Richardson United States
María Isabel González Spain
Isabelle Dutriez-Casteloot France
Louis A. Loizou United Kingdom
Michael A. Pezzone United States
Matti K. Karvonen Finland
Jarrad M. Scarlett United States
Qun Zhang China
Annette Theodorsson Sweden
Lydia E. Kuo relative to Kazuhiko Shibata Japan Kazuhiko Shibata's profile →
Citations per field
00.5×1.5×2.0×
Kazuhiko Shibata · 1×
Citations per year

Countries citing papers authored by Lydia E. Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Lydia E. Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lydia E. Kuo. 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 Lydia E. Kuo. The network helps show where Lydia E. Kuo may publish in the future.

Co-authors

The 22 scholars most cited alongside Lydia E. Kuo, 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 Lydia E. Kuo Line = papers co-authored together Lydia E. Kuo links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2007539
2 2008136
3 2005124
4 200788
5 200483
6 201028
7 200916
8 20063
9 20052
10 20051

About Lydia E. Kuo

Lydia E. Kuo is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health, Oncology, Endocrinology, Diabetes and Metabolism and Developmental Neuroscience, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Peptidase Inhibition and Analysis (3 papers), Hormonal Regulation and Hypertension (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper), Adipose Tissue and Metabolism (1 paper), Neuroblastoma Research and Treatments (1 paper) and Regulation of Appetite and Obesity (1 paper). The work is most often cited by research in Behavioral Neuroscience (125 citations), Endocrine and Autonomic Systems (212 citations), Cellular and Molecular Neuroscience (356 citations), Developmental Neuroscience (47 citations) and Physiology (291 citations). Lydia E. Kuo has collaborated with scholars based in United States, Slovakia and Australia. Frequent co-authors include Zofia Żukowska, Joanna B. Kitlinska, Jason Ulip Tilan, Richard Květňanský, Edward Wolfgang Lee, Lijun Li, Michael D. Johnson, Stephen B. Baker, Herbert Herzog and Stanley Thomas Fricke. Their work appears in journals such as Plastic & Reconstructive Surgery, Peptides, Cancer Research, Nature Medicine and Advances in experimental medicine and biology.

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.

Explore authors with similar magnitude of impact