Ran Won

898 citations
40 papers · 699 indexed · h-index 13

Impact in

Papers in

Ran Won

36 papers receiving 683 citations

Peers

Ran Won
Comparison fields: 5 of 97
  • Behavioral Neuroscience 63
  • Biological Psychiatry 39
  • Developmental Neuroscience 51
  • Physiology 253
  • Cellular and Molecular Neuroscience 152
Replace Joshua D. Rizak with:
Joshua D. Rizak China
Jean‐Claude do Rego France
Petra Niklowitz Germany
Sangu Muthuraju Malaysia
Eve M. Lepicard France
Ming Yi China
John L. Goudreau United States
Sayyed Alireza Talaei Iran
Ettie Grauer Israel
Miroljub Popović Spain
Ran Won relative to Joshua D. Rizak China Joshua D. Rizak's profile →
Citations per field
00.5×1.5×2.3×
Joshua D. Rizak · 1×
Citations per year

Countries citing papers authored by Ran Won

Since Specialization
Citations

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

Fields of papers citing papers by Ran Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ran Won, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ran Won Line = papers co-authored together Ran Won links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20204
3 20207
4 20194
5 20191
6 20189
7 201819
8 20172
9 20154
10 201113
11 201012
12 201018
13 200729
14 2005127
15 20048
16
Effect of Yanggyuksanhwa-tang on c-Fos and c-Jun Expression in Ischemic Damaged Hippocampus of Aged BCAO Rats
20031
17
Neuroprotective Effect of Citri Pericarpium On Transient Global Ischemia in Gerbils
20021
18
Alterations of Cerebral Metabolic Activation Following Electro-Acupuncture Stimulation on ST36 and LR3 Acu-Points in Rats.
20020
19 2000139
20 200024

About Ran Won

Ran Won is a scholar working on Complementary and alternative medicine, Developmental Neuroscience, Pharmacology, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 699 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (8 papers), Medicinal Plants and Neuroprotection (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Anesthesia and Pain Management (3 papers), Anesthesia and Neurotoxicity Research (3 papers), Invertebrate Immune Response Mechanisms (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Behavioral Neuroscience (63 citations), Biological Psychiatry (39 citations), Developmental Neuroscience (51 citations), Physiology (253 citations) and Cellular and Molecular Neuroscience (152 citations). Ran Won has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Bae Hwan Lee, Eun Joo Baik, Soo‐Hwan Lee, Sujin Yun, Eunjoo H. Lee, Chulhun Kang, Kyong Nyon Nam, Chang‐Ju Kim, Mal‐Soon Shin and Myoung‐Hwa Lee. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Neuroreport, Biological and Pharmaceutical Bulletin, The American Journal of Chinese Medicine and Brain Research.

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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