Charles R. Keese

6.3k citations
47 papers · 5.0k indexed · 2 hit papers · h-index 30

Charles R. Keese

46 papers receiving 4.8k citations

Hit Papers

A morphological biosensor for mammalian cells6051991202620022014200400600

Peers

Charles R. Keese
Comparison fields: 5 of 134
  • Bioengineering 443
  • Immunology and Allergy 463
  • Cellular and Molecular Neuroscience 1.2k
  • Biomedical Engineering 2.3k
  • Cell Biology 601
Replace Jong‐Hoon Kim with:
Jong‐Hoon Kim South Korea
Makoto Kanzaki Japan
Silvia Muro United States
Norberto A. Guzman United States
Yasuyuki Sakai Japan
Anna Herland Sweden
Makoto Aihara Japan
Anthony Bahinski United States
Tae‐Hyung Kim South Korea
Charles R. Keese relative to Jong‐Hoon Kim South Korea Jong‐Hoon Kim's profile →
Citations per field
00.5×5.6×
Jong‐Hoon Kim · 1×
Citations per year

Countries citing papers authored by Charles R. Keese

Since Specialization
Citations

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

Fields of papers citing papers by Charles R. Keese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles R. Keese. 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 Charles R. Keese. The network helps show where Charles R. Keese may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20154
2 201138
3
Real-time impedance assay to monitor the invasive activities of metastatic cells in vitro
20028
4 200166
5 20014
6 199992
7 199837
8 1997133
9 1997222
10 1996171
11 1995224
12 199413
13 199415
14 1994114
15 1993114
16
A morphological biosensor for mammalian cellsbreakdown →
1993605
17 199223
18 199138
19 199053
20 198972

About Charles R. Keese

Charles R. Keese is a scholar working on Immunology and Allergy, Biomedical Engineering and Physiology, having authored 47 papers that have together received 5.0k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (24 papers), Microfluidic and Bio-sensing Technologies (20 papers), Neuroscience and Neural Engineering (11 papers), Cell Adhesion Molecules Research (6 papers), Microbial Inactivation Methods (5 papers), Cellular Mechanics and Interactions (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Magnetic and Electromagnetic Effects (3 papers). The work is most often cited by research in Bioengineering (443 citations), Immunology and Allergy (463 citations) and Cellular and Molecular Neuroscience (1.2k citations). Charles R. Keese has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Ivar Giæver, Chun‐Min Lo, Joachim Wegener, Chinnaswamy Tiruppathì, Asrar B. Malik, Peter J. Del Vecchio, Michael S. Goligorsky, Eisei Noiri, Daniel Abramowicz and Kaumudi Bhawe. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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