Paul Kim

4.0k citations
119 papers · 2.6k indexed · h-index 32

Impact in

    • Cell death mechanisms and regulation
    • RNA Interference and Gene Delivery
    • Pluripotent Stem Cells Research
    • RNA Research and Splicing

Papers in

Paul Kim

113 papers receiving 2.5k citations

Peers

Paul Kim
Comparison fields: 5 of 177
  • Transplantation 51
  • Molecular Biology 1.1k
  • Developmental Neuroscience 58
  • Oncology 348
  • Cancer Research 188
Replace Maria Barile with:
Maria Barile Italy
John Sharp United States
Andrew A. Hicks United States
Stephen Tomlinson United States
Martin Johnson United Kingdom
Kathleen Campbell United States
Chris Burns United Kingdom
Richard Green United States
David W. Craig United States
J. A. Whittaker United Kingdom
Paul Kim relative to Maria Barile Italy Maria Barile's profile →
Citations per field
00.5×3.9×
Maria Barile · 1×
Citations per year

Countries citing papers authored by Paul Kim

Since Specialization
Citations

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

Fields of papers citing papers by Paul Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202511
2 20251
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11 202238
12 20223
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14 202025
15 201717
16 20151
17
A Remotely Operated Science Experiment (ROSE) framework to boost a sense of sharing laboratory resources through a technology-mediated interface
20121
18
Using mobile phones to scaffold student-generated questions and promote a global Student-centered Mobile Interactive Learning Environment (SMILE)
20121
19
3D Visualization of Close-Relationship among Smartphone Users
20112
20
Effects of Visual-Map-based Electronic Portfolio System in Science Learning
20071

About Paul Kim

Paul Kim is a scholar working on Transplantation, Information Systems, Health Informatics, Developmental Neuroscience and Cardiology and Cardiovascular Medicine, having authored 119 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mobile Learning in Education (14 papers), Transplantation: Methods and Outcomes (12 papers), Renal Transplantation Outcomes and Treatments (9 papers), ICT in Developing Communities (6 papers), Cardiac Structural Anomalies and Repair (6 papers), Mechanical Circulatory Support Devices (6 papers), Advanced MRI Techniques and Applications (6 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Transplantation (51 citations), Molecular Biology (1.1k citations), Developmental Neuroscience (58 citations), Oncology (348 citations) and Cancer Research (188 citations). Paul Kim has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Dario C. Altieri, Douglas Grossman, Jeffrey S. Schechner, Hans Clevers, Eric R. Fearon, Janet Plescia, Elizabeth Buckner, Charles L. Richman, William N. Dember and Simona Tognin. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Educational Technology Research and Development, Journal of Cardiovascular Magnetic Resonance, ASAIO Journal and Interactive Learning Environments.

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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