Dave E. Dunstan

8.8k citations
156 papers · 7.1k indexed · 1 hit paper · h-index 47

Dave E. Dunstan

156 papers receiving 7.0k citations

Hit Papers

Cancer Treatment through Nanoparticle-Facilitated Fenton ...5042018202620202023100200300400500

Peers

Dave E. Dunstan
Comparison fields: 5 of 154
  • Biomaterials 1.2k
  • Food Science 1.3k
  • Molecular Medicine 345
  • Pharmaceutical Science 304
  • Biomedical Engineering 2.0k
Replace H. B. Bohidar with:
H. B. Bohidar India
Cyrille Rochas France
Bernard Cabane France
Sergio Paoletti Italy
Vesselin N. Paunov United Kingdom
Yves Chevalier France
Ralf Schweins France
Gaio Paradossi Italy
Marco Lattuada Switzerland
Babur Z. Chowdhry United Kingdom
Dave E. Dunstan relative to H. B. Bohidar India H. B. Bohidar's profile →
Citations per field
00.5×1.5×2.3×
H. B. Bohidar · 1×
Citations per year

Countries citing papers authored by Dave E. Dunstan

Since Specialization
Citations

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

Fields of papers citing papers by Dave E. Dunstan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dave E. Dunstan. 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 Dave E. Dunstan. The network helps show where Dave E. Dunstan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2019124
2 201953
3 201823
4 201814
5 201649
6 201447
7 201383
8
alpha-Helix unfolding in simple shear flow
20111
9 2011162
10 20112
11 2009112
12 2009245
13 200959
14 20098
15 200828
16 200767
17 200642
18 200610
19 20057
20 200218

About Dave E. Dunstan

Dave E. Dunstan is a scholar working on Fluid Flow and Transfer Processes, Physical and Theoretical Chemistry and Food Science, having authored 156 papers that have together received 7.1k indexed citations. Recurring topics across this work include Proteins in Food Systems (25 papers), Electrostatics and Colloid Interactions (21 papers), Rheology and Fluid Dynamics Studies (21 papers), Polysaccharides Composition and Applications (19 papers), Surfactants and Colloidal Systems (14 papers), Microencapsulation and Drying Processes (9 papers), Protein Structure and Dynamics (8 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Biomaterials (1.2k citations), Food Science (1.3k citations) and Molecular Medicine (345 citations). Dave E. Dunstan has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Greg G. Qiao, Crispin R. Dass, Hadi Ranji‐Burachaloo, Hang T. Ta, Paul A. Gurr, Innocent B. Bekard, David V. Boger, Peter Choong, Qiang Fu and Gregory J.O. Martin. Their work appears in journals such as Macromolecules, Journal of Colloid and Interface Science, Soft Matter, Food Hydrocolloids and Carbohydrate Polymers.

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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