David S. Long

26 papers receiving 593 citations

Peers

David S. Long
Comparison fields: 5 of 98
  • Critical Care and Intensive Care Medicine 130
  • Pulmonary and Respiratory Medicine 207
  • Immunology and Allergy 39
  • Fluid Flow and Transfer Processes 33
  • Cell Biology 81
Replace Oleg V. Kim with:
Oleg V. Kim United States
Alfred L. Copley United States
J P DiOrio United States
Alexander E. St. John United States
H. Korb Germany
Shoichi Suzuki Japan
S. Q. Liu United States
Dorne Yager United States
Alison M. Forsyth United States
I.A. Feuerstein Canada
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Citations per field
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Citations per year

Countries citing papers authored by David S. Long

Since Specialization
Citations

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

Fields of papers citing papers by David S. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David S. Long, 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 S. Long Line = papers co-authored together David S. Long 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 2003169
2 2004160
3 200448
4 201845
5 200441
6 201527
7 198721
8
Signs of impending parturition in the laboratory bitch.
197814
9 201611
10 201610
11 20189
12 20149
13 20158
14 20157
15
Microviscometric Analysis of Microvascular Hemodynamics in Vivo
20047
16 20116
17
A novel approach for determining pull-in voltages in micro-electro- mechanical systems (MEMS)
20005
18 20224
19 20062
20
Finding Opportunities for Commonality in Complex Systems
20092

About David S. Long

David S. Long is a scholar working on Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine, Cell Biology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 612 indexed citations. Recurring topics across this work include Blood properties and coagulation (6 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (4 papers), Cellular Mechanics and Interactions (3 papers), Cardiovascular Health and Disease Prevention (2 papers), Cell Image Analysis Techniques (2 papers), Structural Analysis and Optimization (2 papers), Business Process Modeling and Analysis (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (130 citations), Pulmonary and Respiratory Medicine (207 citations), Immunology and Allergy (39 citations), Fluid Flow and Transfer Processes (33 citations) and Cell Biology (81 citations). David S. Long has collaborated with scholars based in United States, New Zealand and Germany. Frequent co-authors include Edward R. Damiano, Michael L. Smith, Klaus Ley, Axel R. Pries, Michael T. Cooling, Thomas M. Stace, Richard Clarke, Gideon Koren, Sue R. McGlashan and Andrew James. Their work appears in journals such as Journal of Fluid Mechanics, The Journal of Pediatrics, BMJ Open, Proceedings of the National Academy of Sciences and AIAA 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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