Hwi‐Yool Kim

1.3k citations
67 papers · 920 · h-index 16

Impact in

    • Veterinary Pharmacology and Anesthesia
  • Genetics top 5%
    • Mesenchymal stem cell research

Papers in

Hwi‐Yool Kim

55 papers receiving 895 citations

Peers

Hwi‐Yool Kim
Comparison fields: 5 of 102
  • Small Animals 145
  • Genetics 152
  • Anesthesiology and Pain Medicine 66
  • Developmental Neuroscience 48
  • Surgery 255
Replace Shuxun Hou with:
Shuxun Hou China
Stephen M. Eisenstein United Kingdom
James P. Toombs United States
Stephen L. Gordon United States
Ashley Cole United Kingdom
Ravi K. Ponnappan United States
Amgad S. Hanna United States
Hakan Caner Türkiye
Yoshihiro Momota Japan
Ellen Liebenberg United States
Hwi‐Yool Kim relative to Shuxun Hou China Shuxun Hou's profile →
Citations per field
00.5×8.5×
Shuxun Hou · 1×
Citations per year

Countries citing papers authored by Hwi‐Yool Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hwi‐Yool Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hwi‐Yool Kim. 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 Hwi‐Yool Kim. The network helps show where Hwi‐Yool Kim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997167
2 201894
3 201986
4 200965
5 201044
6 201040
7 201734
8 200733
9 200928
10 201623
11 200521
12 201220
13 201119
14 201319
15 201317
16 201217
17 201015
18 201013
19 201313
20 201112

About Hwi‐Yool Kim

Hwi‐Yool Kim is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Small Animals, Pathology and Forensic Medicine and Molecular Biology, having authored 67 papers that have together received 920 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (7 papers), Spinal Cord Injury Research (6 papers), Veterinary Orthopedics and Neurology (6 papers), Tracheal and airway disorders (6 papers), Veterinary Oncology Research (4 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Sarcoma Diagnosis and Treatment (4 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Small Animals (145 citations), Genetics (152 citations), Anesthesiology and Pain Medicine (66 citations), Developmental Neuroscience (48 citations) and Surgery (255 citations). Hwi‐Yool Kim has collaborated with scholars based in South Korea, United States and Hungary. Frequent co-authors include Chi‐Bong Choi, Nobuo Sasaki, Tatsushi Mutoh, Ryohei Nishimura, Dae‐Hyun Kim, Dai‐Jung Chung, Bo‐Young Choe, Jae‐Hoon Lee, Jun Hee Lee and Jae‐Hyun Park. Their work appears in journals such as Journal of Veterinary Science, Veterinary Sciences, American Journal of Veterinary Research, Magnetic Resonance Imaging and Fibers and Polymers.

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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