L F Tseng

3.5k citations
72 papers · 2.9k indexed · h-index 31

L F Tseng

72 papers receiving 2.8k citations

Peers

L F Tseng
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 2.1k
  • Physiology 1.7k
  • Endocrine and Autonomic Systems 266
  • Behavioral Neuroscience 109
  • Molecular Biology 1.5k
Replace Jean‐Marie Zajac with:
Jean‐Marie Zajac France
J. Hempstead United States
R. Suzanne Zukin United States
Noriaki Koshikawa Japan
Charles A. Fox United States
RA North United States
Nobukuni Ogata Japan
Elena H. Chartoff United States
Tomás A. Reader Canada
Audrey Matifas France
L F Tseng relative to Jean‐Marie Zajac France Jean‐Marie Zajac's profile →
Citations per field
00.5×1.6×
Jean‐Marie Zajac · 1×
Citations per year

Countries citing papers authored by L F Tseng

Since Specialization
Citations

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

Fields of papers citing papers by L F Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L F Tseng. 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 L F Tseng. The network helps show where L F Tseng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200218
2 200126
3 200127
4 200025
5 200032
6 199613
7 199512
8 199517
9 1993243
10 199243
11 199067
12 199042
13 198871
14 198319
15
β-Endorphin: Central sites of analgesia and catalepsy
19781
16 197776
17
Studies of increased release of 3H 5 hydroxytryptamine (3H 5 HT) by para methoxyamphetamine (PMA)
19761
18
The role of brain catecholamines in naloxone induced withdrawal in morphine dependent rats
19744
19 197419
20 197411

About L F Tseng

L F Tseng is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology, having authored 72 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (47 papers), Pain Mechanisms and Treatments (41 papers), Receptor Mechanisms and Signaling (24 papers), Pharmacological Receptor Mechanisms and Effects (19 papers), Neurotransmitter Receptor Influence on Behavior (13 papers), Neuroscience and Neuropharmacology Research (8 papers), Chemical Synthesis and Analysis (5 papers) and Anesthesia and Pain Management (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Physiology (1.7k citations) and Endocrine and Autonomic Systems (266 citations). L F Tseng has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Horace H. Loh, E.T. Wei, C H Li, Hong‐Won Suh, James M. Fujimoto, S.L. Dun, Nae J. Dun, Keith A. Collins, Ulrich Förstermann and H Mizoguchi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Endocrinology.

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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