Paul Kim

4.0k citations
118 papers · 2.7k · h-index 32

Impact in

Papers in

    • Transplantation: Methods and Outcomes 13
    • Cardiac Structural Anomalies and Repair 6
    • Mobile Learning in Education 14
    • ICT in Developing Communities 6

Paul Kim

112 papers receiving 2.6k citations

Peers

Paul Kim
Comparison fields: 5 of 175
  • Developmental Neuroscience 57
  • Molecular Biology 965
  • Transplantation 32
  • Developmental and Educational Psychology 155
  • Oncology 297
Replace Maria Barile with:
Maria Barile Italy
John Sharp United States
Andrew A. Hicks Italy
Martin Johnson United Kingdom
Kerstin Göbel Germany
Chris Burns United Kingdom
David A. Tumbarello United Kingdom
J. A. Whittaker United Kingdom
Stephen Tomlinson United States
Annelien L. Bredenoord Netherlands
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Citations per field
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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-authors

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

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003279
2 2001248
3 2001174
4 1986101
5 201684
6 201070
7 201370
8 201367
9 202460
10 201059
11 201756
12 200856
13 201450
14 200648
15 201547
16 201546
17 201346
18 201045
19 202244
20
Multi-cellular interactions sustain long-term contractility of human pluripotent stem cell-derived cardiomyocytes.
201444

About Paul Kim

Paul Kim is a scholar working on Surgery, Information Systems, Molecular Biology, Education and Biomedical Engineering, having authored 118 papers that have together received 2.7k indexed citations. Recurring topics across this work include Mobile Learning in Education (14 papers), Transplantation: Methods and Outcomes (13 papers), ICT in Developing Communities (6 papers), Mechanical Circulatory Support Devices (6 papers), Cardiac Structural Anomalies and Repair (6 papers), Renal Transplantation Outcomes and Treatments (5 papers), Child Development and Digital Technology (5 papers) and Innovative Teaching and Learning Methods (5 papers). The work is most often cited by research in Developmental Neuroscience (57 citations), Molecular Biology (965 citations), Transplantation (32 citations), Developmental and Educational Psychology (155 citations) and Oncology (297 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, Eric R. Fearon, Janet Plescia, Hans Clevers, Elizabeth Buckner, Charles L. Richman, William N. Dember and Douglas E. Brash. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Educational Technology Research and Development, ASAIO Journal, Interactive Learning Environments and Journal of Cardiovascular Magnetic Resonance.

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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