David Haddow

36 total papers · 1.2k total citations
28 papers, 903 citations indexed

About

David Haddow is a scholar working on Rehabilitation, Biomaterials and Biomedical Engineering. According to data from OpenAlex, David Haddow has authored 28 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Rehabilitation, 7 papers in Biomaterials and 6 papers in Biomedical Engineering. Recurrent topics in David Haddow's work include Wound Healing and Treatments (9 papers), Bone Tissue Engineering Materials (5 papers) and Silk-based biomaterials and applications (4 papers). David Haddow is often cited by papers focused on Wound Healing and Treatments (9 papers), Bone Tissue Engineering Materials (5 papers) and Silk-based biomaterials and applications (4 papers). David Haddow collaborates with scholars based in United Kingdom, Germany and Belgium. David Haddow's co-authors include Sheila MacNeil, Robert D. Short, Peter James, Richard van Noort, Rebecca Dawson, Julie T. Daniels, Maria Notara, Richard M. France, Nial A. Bullett and Pallavi Deshpande and has published in prestigious journals such as Biomaterials, Chemistry of Materials and Langmuir.

In The Last Decade

David Haddow

28 papers receiving 864 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Haddow 283 270 233 170 144 28 903
Eun Young Jeon 359 1.3× 158 0.6× 311 1.3× 32 0.2× 76 0.5× 41 1.0k
Devyesh Rana 319 1.1× 244 0.9× 395 1.7× 152 0.9× 31 0.2× 10 988
Khashayar Modaresifar 378 1.3× 73 0.3× 142 0.6× 96 0.6× 95 0.7× 20 755
Ílida Ortega Asencio 542 1.9× 62 0.2× 313 1.3× 153 0.9× 226 1.6× 41 1.0k
Ashwin Nair 398 1.4× 154 0.6× 286 1.2× 54 0.3× 44 0.3× 30 957
Young‐Hyeon An 362 1.3× 152 0.6× 298 1.3× 28 0.2× 61 0.4× 40 926
Guoxin Tan 275 1.0× 132 0.5× 248 1.1× 32 0.2× 42 0.3× 16 787
Bingkun Bao 301 1.1× 132 0.5× 207 0.9× 33 0.2× 169 1.2× 25 827
Haofang Zhu 407 1.4× 184 0.7× 283 1.2× 35 0.2× 79 0.5× 26 917
Chen‐Yu Zou 244 0.9× 249 0.9× 327 1.4× 19 0.1× 110 0.8× 36 987

Countries citing papers authored by David Haddow

Since Specialization
Citations

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

Fields of papers citing papers by David Haddow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Haddow

This figure shows the co-authorship network connecting the top 25 collaborators of David Haddow. A scholar is included among the top collaborators of David Haddow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Haddow. David Haddow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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