Sora Ahn

757 total citations
33 papers, 469 citations indexed

About

Sora Ahn is a scholar working on Cellular and Molecular Neuroscience, Neurology and Surgery. According to data from OpenAlex, Sora Ahn has authored 33 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 9 papers in Neurology and 7 papers in Surgery. Recurrent topics in Sora Ahn's work include Magnetic properties of thin films (7 papers), Dermatology and Skin Diseases (5 papers) and Advanced Memory and Neural Computing (5 papers). Sora Ahn is often cited by papers focused on Magnetic properties of thin films (7 papers), Dermatology and Skin Diseases (5 papers) and Advanced Memory and Neural Computing (5 papers). Sora Ahn collaborates with scholars based in South Korea and United States. Sora Ahn's co-authors include Hi‐Joon Park, Ju‐Young Oh, Jae‐Hwan Jang, Mijung Yeom, Suhwan Ji, Dae‐Hyun Hahm, Songhee Jeon, Hyangsook Lee, Na‐Ra Han and Mi‐Yeon Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pain and International Journal of Molecular Sciences.

In The Last Decade

Sora Ahn

33 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sora Ahn South Korea 10 124 115 101 93 72 33 469
Priya Mishra United States 8 250 2.0× 34 0.3× 158 1.6× 100 1.1× 57 0.8× 12 678
Wen Su China 17 55 0.4× 248 2.2× 108 1.1× 176 1.9× 147 2.0× 54 822
Hyangin Kim United States 7 36 0.3× 24 0.2× 159 1.6× 227 2.4× 81 1.1× 12 626
H. Nielsen Denmark 6 97 0.8× 483 4.2× 31 0.3× 120 1.3× 87 1.2× 14 675
E. Hazen United States 8 45 0.4× 71 0.6× 37 0.4× 250 2.7× 67 0.9× 22 502
Eric D. Larson United States 16 17 0.1× 105 0.9× 281 2.8× 80 0.9× 114 1.6× 31 865
Ya‐Hsin Hsiao Taiwan 14 26 0.2× 26 0.2× 145 1.4× 195 2.1× 201 2.8× 29 688
Mehmet Bostancıklıoğlu Türkiye 10 18 0.1× 104 0.9× 181 1.8× 149 1.6× 131 1.8× 18 507
Marcela Miranda‐Morales Mexico 11 28 0.2× 12 0.1× 155 1.5× 162 1.7× 155 2.2× 21 589
Masanori Yamato Japan 14 20 0.2× 67 0.6× 101 1.0× 78 0.8× 61 0.8× 25 538

Countries citing papers authored by Sora Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Sora Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sora Ahn. 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 Sora Ahn. The network helps show where Sora Ahn may publish in the future.

Co-authorship network of co-authors of Sora Ahn

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

All Works

20 of 20 papers shown
1.
Oh, Ju‐Young, Sora Ahn, Mijung Yeom, et al.. (2025). Invasive laser acupuncture targeting muscle: a novel approach to protect dopaminergic neurons and reduce neuroinflammation in a brain of Parkinson’s disease model. Chinese Medicine. 20(1). 59–59. 1 indexed citations
2.
Jang, Jae‐Hwan, Sunyoung Jang, Sora Ahn, et al.. (2024). Chronic Gut Inflammation and Dysbiosis in IBS: Unraveling Their Contribution to Atopic Dermatitis Progression. International Journal of Molecular Sciences. 25(5). 2753–2753. 6 indexed citations
3.
Yeom, Mijung, Sora Ahn, Dae‐Hyun Hahm, et al.. (2024). Acupuncture ameliorates atopic dermatitis by modulating gut barrier function in a gut microbiota-dependent manner in mice. Journal of Integrative Medicine. 22(5). 600–613. 3 indexed citations
4.
Kim, Doyun, Geehoon Chung, Jae Hyun Park, et al.. (2023). An Automated Cell Detection Method for TH-positive Dopaminergic Neurons in a Mouse Model of Parkinson’s Disease Using Convolutional Neural Networks. Experimental Neurobiology. 32(3). 181–194. 3 indexed citations
5.
6.
Yeom, Mijung, Sora Ahn, Sunyoung Jang, et al.. (2022). Acupuncture attenuates comorbid anxiety- and depressive-like behaviors of atopic dermatitis through modulating neuroadaptation in the brain reward circuit in mice. Biological Research. 55(1). 28–28. 15 indexed citations
7.
8.
Park, Hi‐Joon, Sora Ahn, Hyangsook Lee, et al.. (2021). Acupuncture ameliorates not only atopic dermatitis-like skin inflammation but also acute and chronic serotonergic itch possibly through blockade of 5-HT2 and 5-HT7 receptors in mice. Brain Behavior and Immunity. 93. 399–408. 17 indexed citations
9.
Ahn, Sora, et al.. (2021). Non-Operative Management with Angioembolization of Grade IV and V Renal Injuries in a Hybrid Emergency Room System. SHILAP Revista de lepidopterología. 34(3). 191–197. 3 indexed citations
10.
Jang, Jae‐Hwan, Mijung Yeom, Sora Ahn, et al.. (2020). Acupuncture inhibits neuroinflammation and gut microbial dysbiosis in a mouse model of Parkinson’s disease. Brain Behavior and Immunity. 89. 641–655. 170 indexed citations
11.
Yeom, Mijung, Sora Ahn, Ju‐Young Oh, et al.. (2019). Atopic dermatitis induces anxiety- and depressive-like behaviors with concomitant neuronal adaptations in brain reward circuits in mice. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 98. 109818–109818. 33 indexed citations
12.
Ahn, Sora, Quan Feng Liu, Jae‐Hwan Jang, et al.. (2019). Gami–Chunggan Formula Prevents Motor Dysfunction in MPTP/p-Induced and A53T α-Synuclein Overexpressed Parkinson’s Disease Mouse Model Though DJ-1 and BDNF Expression. Frontiers in Aging Neuroscience. 11. 230–230. 14 indexed citations
13.
14.
Lee, Ahreum, Hanseul Park, Junsang Yoo, et al.. (2018). Acupuncture Alleviates Levodopa-Induced Dyskinesia via Melanin-Concentrating Hormone in Pitx3-Deficient aphakia and 6-Hydroxydopamine-Lesioned Mice. Molecular Neurobiology. 56(4). 2408–2423. 3 indexed citations
15.
Ahn, Sora, et al.. (2017). Prediction of the Seizure Suppression Effect by Electrical Stimulation via a Computational Modeling Approach. Frontiers in Computational Neuroscience. 11. 39–39. 8 indexed citations
16.
Ahn, Sora, et al.. (2017). Study on the mechanisms of seizure-like events suppression effect by electrical stimulation using a microelectrode array. Neuroreport. 28(9). 471–478. 5 indexed citations
17.
Ahn, Sora, Seong-Uk Park, Songhee Jeon, et al.. (2017). Effects of a combination treatment of KD5040 and L-dopa in a mouse model of Parkinson’s disease. BMC Complementary and Alternative Medicine. 17(1). 220–220. 18 indexed citations
18.
Ahn, Sora, Sang Beom Jun, Hyang Woon Lee, & Seungjun Lee. (2016). Computational modeling of epileptiform activities in medial temporal lobe epilepsy combined with in vitro experiments. Journal of Computational Neuroscience. 41(2). 207–223. 8 indexed citations
19.
Lee, Jin‐Sung, Sora Ahn, & Ki Seong Eom. (2016). Communicating Hydrocephalus Onset Following a Traumatic Tension Pneumocephalus. Archives of Craniofacial Surgery. 17(4). 225–225. 3 indexed citations
20.
Ahn, Sora, et al.. (2013). A New Circuit Model for Spin-Torque Oscillator Including Perpendicular Torque of Magnetic Tunnel Junction. Advances in Condensed Matter Physics. 2013. 1–6. 8 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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