Evidence map›Paper›PMID 31817934›Full record

ArticleMolecules (Basel, Switzerland)2019

An Autophagy Inducing Triterpene Saponin Derived from

Jaeyoung Kwon, Keebeom Ko, Lijun Zhang, Dong Zhao, Hyun Ok Yang, Hak Cheol Kwon

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Pharmaceutics · 2026
    Review
  2. Triterpenoidal Saponins from the Leaves ofPlants (Basel, Switzerland) · 2024
    Article
  3. New Sesquiterpene Glycosides from the Flowers ofPlants (Basel, Switzerland) · 2023
    Article
  4. Extract ofInternational journal of molecular sciences · 2023
    Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Jaeyoung KwonNatural Product Informatics Research Center, Korea Institute of Science and Technology (KIST) Gangneung Institute, Gangneung 25451, Korea.
Keebeom KoNatural Product Informatics Research Center, Korea Institute of Science and Technology (KIST) Gangneung Institute, Gangneung 25451, Korea.
Lijun ZhangNatural Product Research Center, Korea Institute of Science and Technology (KIST) Gangneung Institute, Gangneung 25451, Korea.
Dong ZhaoNatural Product Research Center, Korea Institute of Science and Technology (KIST) Gangneung Institute, Gangneung 25451, Korea.
Hyun Ok YangNatural Product Research Center, Korea Institute of Science and Technology (KIST) Gangneung Institute, Gangneung 25451, Korea.
Hak Cheol KwonNatural Product Informatics Research Center, Korea Institute of Science and Technology (KIST) Gangneung Institute, Gangneung 25451, Korea.
Korea Institute of Science and Technology · KR

Funding

National Research Foundation of the Ministry of Science, Korea NRF-2015M3A9A5030735 and NRF-2012M3A9C4048793
6 · The paper itself

Abstract

Autophagy is an important self-degradative mechanism that plays a key role in treating neurodegeneration diseases. This research aimed at discovering bioactive compounds from

Indexed as

ApoptosisAster PlantAutophagyBeclin-1Cell Line, TumorCell SurvivalGene Expression RegulationHumansHydrolysisMicrotubule-Associated ProteinsNeuroprotective AgentsParkinson DiseaseSaponinsTriterpenesBeclin-1MAP1A protein, humanmicrotubule-associated protein 1BMicrotubule-Associated ProteinsNeuroprotective AgentsSaponinsTriterpenesAster koraiensisautophagynatural productstriterpene saponin

Identifiers

PMID31817934
PMCPMC6943805
OpenAlexW2993332344

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.