Chanil Moon

1.2k citations
25 papers · 1.0k · h-index 13

Impact in

  • Hematology top 5%
    • Erythropoietin and Anemia Treatment
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

    • Erythropoietin and Anemia Treatment 7
    • Cell death mechanisms and regulation 2
    • RNA Interference and Gene Delivery 2
    • Pluripotent Stem Cells Research 1

Chanil Moon

24 papers receiving 981 citations

Peers

Chanil Moon
Comparison fields: 5 of 83
  • Hematology 325
  • Genetics 165
  • Developmental Neuroscience 31
  • Pathology and Forensic Medicine 117
  • Cardiology and Cardiovascular Medicine 136
Replace Enming Joseph Su with:
Enming Joseph Su United States
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Min‐Yu Lan Taiwan
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Chanil Moon relative to Enming Joseph Su United States Enming Joseph Su's profile →
Citations per field
00.5×2×2.6×
Enming Joseph Su · 1×
Citations per year

Countries citing papers authored by Chanil Moon

Since Specialization
Citations

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

Fields of papers citing papers by Chanil Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chanil Moon, 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 Chanil Moon Line = papers co-authored together Chanil Moon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003262
2 2015153
3 2004105
4 200678
5 200463
6 200560
7 200257
8 200733
9 201728
10 201124
11 201123
12 201016
13 200616
14
Expression of Nesfatin-1/NUCB2 and Its Binding Site in Mouse Testis and Epididymis
201113
15 201412
16 201012
17 201712
18 201310
19 201610
20 20139

About Chanil Moon

Chanil Moon is a scholar working on Hematology, Molecular Biology, Oncology, Neurology and Cell Biology, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (7 papers), Cell death mechanisms and regulation (2 papers), PARP inhibition in cancer therapy (2 papers), RNA Interference and Gene Delivery (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Pluripotent Stem Cells Research (1 paper) and Sulfur Compounds in Biology (1 paper). The work is most often cited by research in Hematology (325 citations), Genetics (165 citations), Developmental Neuroscience (31 citations), Pathology and Forensic Medicine (117 citations) and Cardiology and Cardiovascular Medicine (136 citations). Chanil Moon has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Mark I. Talan, Edward G. Lakatta, Melissa Krawczyk, Doo‐Jin Paik, Ismayil Ahmet, Dongchoon Ahn, Seong‐il Oh, Kyung Suk Kim, Seung Hyun Kim and Ki‐Wook Oh. Their work appears in journals such as Cardiovascular Drugs and Therapy, Journal of Biological Chemistry, Basic & Clinical Pharmacology & Toxicology, Stem Cells Translational Medicine and Journal of Korean Medical Science.

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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