Ki‐Up Kim

520 citations
27 papers · 388 · h-index 10

Impact in

Papers in

Ki‐Up Kim

27 papers receiving 380 citations

Peers

Ki‐Up Kim
Comparison fields: 5 of 78
  • Cellular and Molecular Neuroscience 64
  • Pulmonary and Respiratory Medicine 97
  • Electrochemistry 20
  • Physiology 71
  • Polymers and Plastics 36
Replace Kenneth E. Chapman with:
Kenneth E. Chapman United States
Yuwei Liu China
Huiling Hong Hong Kong
Hyo Jin Chung South Korea
Shenghui Hu China
Shengwei Huang China
Randa Zein United States
Nadia Chandra Sekar Australia
Richard O. Cliff United States
Nadia Ucciferri Italy
Ki‐Up Kim relative to Kenneth E. Chapman United States Kenneth E. Chapman's profile →
Citations per field
00.5×6.7×
Kenneth E. Chapman · 1×
Citations per year

Countries citing papers authored by Ki‐Up Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ki‐Up Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200564
2 202053
3 200941
4 201937
5 200732
6 200931
7 201728
8 200820
9 201419
10 202410
11 20239
12 20227
13 20207
14 20174
15 20164
16 20204
17
A Case of Anaphylaxis after Exposure to Oral Cefaclor
20083
18 20213
19 20213
20 20182

About Ki‐Up Kim

Ki‐Up Kim is a scholar working on Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 27 papers that have together received 388 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (6 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Conducting polymers and applications (2 papers), Advanced Memory and Neural Computing (2 papers), Occupational and environmental lung diseases (2 papers), Electrochemical sensors and biosensors (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Pleural and Pulmonary Diseases (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (64 citations), Pulmonary and Respiratory Medicine (97 citations), Electrochemistry (20 citations), Physiology (71 citations) and Polymers and Plastics (36 citations). Ki‐Up Kim has collaborated with scholars based in South Korea, United States and Egypt. Frequent co-authors include Soo‐Taek Uh, Hyunjoo J. Lee, V. Courtney Broaddus, Mi Kyung Kim, Choon‐Sik Park, An‐Soo Jang, Jiwon Seo, David M. Jablons, Rodney Collins and Zhidong Xu. Their work appears in journals such as Medicine, Advanced Functional Materials, Advanced Materials, Nuclear Medicine Communications and CHEST Journal.

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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