Evidence map›Paper›PMID 33015998›Full record

ReviewChemistry, an Asian journal2020

Functional Redox-Active Molecular Tunnel Junctions.

Yingmei Han, Christian A Nijhuis

Abstract readReview
In one paragraph

Review in Chemistry, an Asian journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Stable Synapse-Like Memory Switching in N-Heterocyclic Carbene Monolayers.Angewandte Chemie (International ed. in English) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Generic dynamic molecular devices by quantitative non-steady-state proton/water-coupled electron transport kinetics.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Functional Redox-Active Molecular Tunnel Junctions.Chemistry, an Asian journal · 2020
    Review
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

2 authors.

Yingmei HanDepartment of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore, 117543, Singapore.
Christian A NijhuisDepartment of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore, 117543, Singapore.ORCID http://orcid.org/0000-0003-3435-4600

Funding

Ministry of Education (MOE) MOE2019-T2-1-137
6 · The paper itself

Abstract

Redox-active molecular junctions have attracted considerable attention because redox-active molecules provide accessible energy levels enabling electronic function at the molecular length scales, such as, rectification, conductance switching, or molecular transistors. Unlike charge transfer in wet electrochemical environments, it is still challenging to understand how redox-processes proceed in solid-state molecular junctions which lack counterions and solvent molecules to stabilize the charge on the molecules. In this minireview, we first introduce molecular junctions based on redox-active molecules and discuss their properties from both a chemistry and nanoelectronics point of view, and then discuss briefly the mechanisms of charge transport in solid-state redox-junctions followed by examples where redox-molecules generate new electronic function. We conclude with challenges that need to be addressed and interesting future directions from a chemical engineering and molecular design perspectives.

Indexed as

charge transportmolecular electronicsmolecular switchesredox-active moleculestunnelling

Identifiers

PMID33015998
PMCPMC7756406

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.