Jeong-Eun Lim

483 total citations
6 papers, 425 citations indexed

About

Jeong-Eun Lim is a scholar working on Neurology, Physiology and Immunology. According to data from OpenAlex, Jeong-Eun Lim has authored 6 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 5 papers in Physiology and 3 papers in Immunology. Recurrent topics in Jeong-Eun Lim's work include Alzheimer's disease research and treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Immune Response and Inflammation (3 papers). Jeong-Eun Lim is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Immune Response and Inflammation (3 papers). Jeong-Eun Lim collaborates with scholars based in United States, France and Canada. Jeong-Eun Lim's co-authors include Jinghong Kou, Ken-ichiro Fukuchi, Abhinandan Pattanayak, Min Song, Robert Lalonde, Jingji Jin, Jamaal Rehman, Kazuki Tahara, Hong‐Duck Kim and Junling Yang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, American Journal Of Pathology and Brain Behavior and Immunity.

In The Last Decade

Jeong-Eun Lim

6 papers receiving 420 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeong-Eun Lim United States 6 273 222 137 129 88 6 425
Jinghong Kou United States 12 333 1.2× 287 1.3× 174 1.3× 186 1.4× 107 1.2× 16 598
Selina Imboywa United States 4 301 1.1× 363 1.6× 108 0.8× 233 1.8× 82 0.9× 5 625
Kazuki Tahara United States 7 221 0.8× 218 1.0× 156 1.1× 168 1.3× 60 0.7× 7 493
Yajuan Wu China 8 157 0.6× 154 0.7× 97 0.7× 144 1.1× 31 0.4× 15 410
Helen Crehan United Kingdom 5 152 0.6× 213 1.0× 66 0.5× 93 0.7× 37 0.4× 5 307
Ron Strohmeyer United States 7 371 1.4× 412 1.9× 122 0.9× 190 1.5× 60 0.7× 8 656
Peter Bor‐Chian Lin United States 10 201 0.7× 185 0.8× 63 0.5× 158 1.2× 46 0.5× 27 434
Aine Ni Scannail United States 5 210 0.8× 162 0.7× 105 0.8× 203 1.6× 37 0.4× 5 457
Guita Lalehzadeh France 5 236 0.9× 165 0.7× 121 0.9× 100 0.8× 28 0.3× 5 363
Keiichi Shibagaki Japan 8 156 0.6× 201 0.9× 65 0.5× 226 1.8× 27 0.3× 9 488

Countries citing papers authored by Jeong-Eun Lim

Since Specialization
Citations

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

Fields of papers citing papers by Jeong-Eun Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeong-Eun Lim. 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 Jeong-Eun Lim. The network helps show where Jeong-Eun Lim may publish in the future.

Co-authorship network of co-authors of Jeong-Eun Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Jeong-Eun Lim. A scholar is included among the top collaborators of Jeong-Eun Lim 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 Jeong-Eun Lim. Jeong-Eun Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Go, Michelle Sy, Jinghong Kou, Jeong-Eun Lim, Junling Yang, & Ken-ichiro Fukuchi. (2016). Microglial response to LPS increases in wild-type mice during aging but diminishes in an Alzheimer's mouse model: Implication of TLR4 signaling in disease progression. Biochemical and Biophysical Research Communications. 479(2). 331–337. 72 indexed citations
2.
Yang, Junling, Jinghong Kou, Jeong-Eun Lim, Robert Lalonde, & Ken-ichiro Fukuchi. (2015). Intracranial delivery of interleukin-17A via adeno-associated virus fails to induce physical and learning disabilities and neuroinflammation in mice but improves glucose metabolism through AKT signaling pathway. Brain Behavior and Immunity. 53. 84–95. 6 indexed citations
3.
Kou, Jinghong, Junling Yang, Jeong-Eun Lim, et al.. (2014). Catalytic Immunoglobulin Gene Delivery in a Mouse Model of Alzheimer’s Disease: Prophylactic and Therapeutic Applications. Molecular Neurobiology. 51(1). 43–56. 19 indexed citations
4.
Lim, Jeong-Eun, Jinghong Kou, Min Song, et al.. (2011). MyD88 Deficiency Ameliorates β-Amyloidosis in an Animal Model of Alzheimer's Disease. American Journal Of Pathology. 179(3). 1095–1103. 56 indexed citations
5.
Song, Min, Jingji Jin, Jeong-Eun Lim, et al.. (2011). TLR4 mutation reduces microglial activation, increases Aβ deposits and exacerbates cognitive deficits in a mouse model of Alzheimer's disease. Journal of Neuroinflammation. 8(1). 92–92. 243 indexed citations
6.
Kou, Jinghong, Hong-Duck Kim, Abhinandan Pattanayak, et al.. (2011). Anti-Amyloid-β Single-Chain Antibody Brain Delivery Via AAV Reduces Amyloid Load But May Increase Cerebral Hemorrhages in an Alzheimer's Disease Mouse Model. Journal of Alzheimer s Disease. 27(1). 23–38. 29 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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2026