Jean‐Ha Baek

610 total citations
11 papers, 470 citations indexed

About

Jean‐Ha Baek is a scholar working on Molecular Biology, Pharmacology and Cell Biology. According to data from OpenAlex, Jean‐Ha Baek has authored 11 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Cell Biology. Recurrent topics in Jean‐Ha Baek's work include Cannabis and Cannabinoid Research (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Alzheimer's disease research and treatments (2 papers). Jean‐Ha Baek is often cited by papers focused on Cannabis and Cannabinoid Research (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Alzheimer's disease research and treatments (2 papers). Jean‐Ha Baek collaborates with scholars based in Sweden, New Zealand and United Kingdom. Jean‐Ha Baek's co-authors include Cynthia L. Darlington, Paul F. Smith, Yiwen Zheng, Tibor Hortobágyi, Clive Ballard, John C. Ashton, David Howlett, Erika Bereczki, Johannes Attems and Dag Aarsland and has published in prestigious journals such as Human Molecular Genetics, Aging Cell and Frontiers in Neuroscience.

In The Last Decade

Jean‐Ha Baek

11 papers receiving 457 citations

Peers

Jean‐Ha Baek

MB

CMN

PHYSI

PHARM

NEURO

Thomas Lorivel France

Chalid Ghadban Germany

Gustavo Tenorio Canada

Li‐Da Su China

Chunqing Zhang China

Chi‐Kun Tong United States

Lindsey A. Chew United States

Zhenjun Tan United States

Paule Portalier France

Jean-Louis Molat France

Thomas Lorivel France

Jean‐Ha Baek

128 ×0.9

MB

142 ×1.1

CMN

118 ×1.0

PHYSI

42 ×0.4

PHARM

53 ×0.6

NEURO

Citations per year, relative to Jean‐Ha Baek Jean‐Ha Baek (= 1×) peers Thomas Lorivel

Countries citing papers authored by Jean‐Ha Baek

Since Specialization

Citations

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

Fields of papers citing papers by Jean‐Ha Baek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Ha Baek. 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 Jean‐Ha Baek. The network helps show where Jean‐Ha Baek may publish in the future.

Co-authorship network of co-authors of Jean‐Ha Baek

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Ha Baek. A scholar is included among the top collaborators of Jean‐Ha Baek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐Ha Baek. Jean‐Ha Baek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Baek, Jean‐Ha, Carmen Herrera Hidalgo, Melissa L. Borg, et al.. (2021). Engineered Mesoporous Silica Reduces Long-Term Blood Glucose, Hba1C, and Improves Metabolic Parameters in Prediabetics. Nanomedicine. 17(1). 9–22. 13 indexed citations

2.

Baek, Jean‐Ha, et al.. (2019). GRP78 Level Is Altered in the Brain, but Not in Plasma or Cerebrospinal Fluid in Parkinson’s Disease Patients. Frontiers in Neuroscience. 13. 697–697. 27 indexed citations

3.

Bereczki, Erika, Paul T. Francis, David Howlett, et al.. (2016). Synaptic proteins predict cognitive decline in Alzheimer's disease and Lewy body dementia. Alzheimer s & Dementia. 12(11). 1149–1158. 128 indexed citations

4.

Baek, Jean‐Ha, David Whitfield, David Howlett, et al.. (2015). Unfolded protein response is activated in Lewy body dementias. Neuropathology and Applied Neurobiology. 42(4). 352–365. 47 indexed citations

5.

Baek, Jean‐Ha, Eva Marina Schmidt, Nikenza Viceconte, et al.. (2014). Expression of progerin in aging mouse brains reveals structural nuclear abnormalities without detectible significant alterations in gene expression, hippocampal stem cells or behavior. Human Molecular Genetics. 24(5). 1305–1321. 31 indexed citations

6.

Baek, Jean‐Ha, Cynthia L. Darlington, Paul F. Smith, & John C. Ashton. (2013). Antibody testing for brain immunohistochemistry: Brain immunolabeling for the cannabinoid CB2 receptor. Journal of Neuroscience Methods. 216(2). 87–95. 60 indexed citations

7.

Viceconte, Nikenza, et al.. (2013). Embryonic expression of the common progeroid lamin A splice mutation arrests postnatal skin development. Aging Cell. 13(2). 292–302. 33 indexed citations

8.

Baek, Jean‐Ha, Yiwen Zheng, Cynthia L. Darlington, Paul F. Smith, & John C. Ashton. (2013). Testing antibodies for Brain Immunohistochemistry: Brain Immunolabelling for the Cannabinoid CB2 Receptor.. 4 indexed citations

9.

Smith, Paul F., et al.. (2010). Modulation of Memory by Vestibular Lesions and Galvanic Vestibular Stimulation. Frontiers in Neurology. 1. 141–141. 49 indexed citations

10.

Baek, Jean‐Ha, Yiwen Zheng, Cynthia L. Darlington, & Paul F. Smith. (2008). Cannabinoid CB₂receptor expression in the rat brainstem cochlear and vestibular nuclei. Acta Oto-Laryngologica. 128(9). 961–967. 42 indexed citations

11.

Zheng, Yiwen, Jean‐Ha Baek, Paul F. Smith, & Cynthia L. Darlington. (2007). Cannabinoid receptor down-regulation in the ventral cochlear nucleus in a salicylate model of tinnitus. Hearing Research. 228(1-2). 105–111. 36 indexed citations

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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