David M. Eckmann

163 papers receiving 4.6k citations

Peers

David M. Eckmann
Comparison fields: 5 of 141
  • Biomaterials 918
  • Surfaces, Coatings and Films 293
  • Molecular Medicine 217
  • Computational Mechanics 535
  • Pulmonary and Respiratory Medicine 660
Replace Ka Yee C. Lee with:
Ka Yee C. Lee United States
Herbert J. Meiselman United States
Gerald G. Fuller United States
George A. Truskey United States
Peter Timashev Russia
Stefano Guido Italy
Eleanor Stride United Kingdom
Shuvo Roy United States
Jiandi Wan United States
Ruth Elizabeth Cameron United Kingdom
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Citations per year

Countries citing papers authored by David M. Eckmann

Since Specialization
Citations

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

Fields of papers citing papers by David M. Eckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Eckmann. 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 David M. Eckmann. The network helps show where David M. Eckmann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014178
2 2000170
3 2010118
4 2016118
5 2012108
6 1991104
7 201886
8 201585
9 200580
10 201479
11 200977
12 201177
13 199973
14 201171
15 201571
16 201067
17 201567
18 200764
19 201262
20 201462

About David M. Eckmann

David M. Eckmann is a scholar working on Surfaces, Coatings and Films, Biomaterials, Pulmonary and Respiratory Medicine, Computational Mechanics and Water Science and Technology, having authored 165 papers that have together received 4.7k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (28 papers), Polymer Surface Interaction Studies (24 papers), Mitochondrial Function and Pathology (21 papers), Cardiovascular and Diving-Related Complications (20 papers), Minerals Flotation and Separation Techniques (18 papers), Fluid Dynamics and Heat Transfer (12 papers), Ultrasound and Hyperthermia Applications (9 papers) and Cellular Mechanics and Interactions (9 papers). The work is most often cited by research in Biomaterials (918 citations), Surfaces, Coatings and Films (293 citations), Molecular Medicine (217 citations), Computational Mechanics (535 citations) and Pulmonary and Respiratory Medicine (660 citations). David M. Eckmann has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Russell J. Composto, PORTONOVO S. AYYASWAMY, Vladimir R. Muzykantov, Ravi Radhakrishnan, James B. Grotberg, Hyun‐Su Lee, Noreen J. Hickok, Martha E. Grady, Andrew Tsourkas and David H. Jang. Their work appears in journals such as Anesthesiology, Journal of Applied Physiology, Langmuir, Anesthesia & Analgesia and Journal of Fluid Mechanics.

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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