Malcolm Haddrick

565 citations
15 papers · 343 · h-index 8

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • 3D Printing in Biomedical Research
    • Innovative Microfluidic and Catalytic Techniques Innovation

Papers in

Malcolm Haddrick

15 papers receiving 339 citations

Peers

Malcolm Haddrick
Comparison fields: 5 of 71
  • Virology 94
  • Biomedical Engineering 120
  • Molecular Biology 172
  • Biophysics 12
  • Cardiology and Cardiovascular Medicine 45
Replace C. Todd DeMarco with:
C. Todd DeMarco United States
Jordi Doijen Belgium
Jenna M. Antonucci United States
Sailan Shui Switzerland
Haoying Xu China
Bruno Gaillet Canada
Hung‐Ju Chang Taiwan
Asitha Gurusinghe Australia
David Atkins Australia
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Citations per field
00.5×7.5×
C. Todd DeMarco · 1×
Citations per year

Countries citing papers authored by Malcolm Haddrick

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Haddrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 199699
2 202057
3 201938
4 199535
5 201632
6 202221
7 202418
8 202016
9 20247
10 20017
11 20246
12 19964
13 20231
14 20111
15 20111

About Malcolm Haddrick

Malcolm Haddrick is a scholar working on Biomedical Engineering, Molecular Biology, Cellular and Molecular Neuroscience, Virology and Oncology, having authored 15 papers that have together received 343 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (7 papers), HIV Research and Treatment (3 papers), Neuroscience and Neural Engineering (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Computational Drug Discovery Methods (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), HIV/AIDS drug development and treatment (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Virology (94 citations), Biomedical Engineering (120 citations), Molecular Biology (172 citations), Biophysics (12 citations) and Cardiology and Cardiovascular Medicine (45 citations). Malcolm Haddrick has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Shaun Heaphy, Alan J. Cann, Peter B. Simpson, Virginia Pensabene, Alexander J. Ainscough, Priyalakshmi Viswanathan, John A. McLean, Stacy D. Sherrod, Julien E. Gautrot and Stefania Di Ciò. Their work appears in journals such as SLAS DISCOVERY, Scientific Reports, Cells, Drug Discovery Today and Journal of Molecular Biology.

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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