Paul Tomlins

570 citations
17 papers · 451 · h-index 10

Impact in

Papers in

    • Bone Tissue Engineering Materials 3
    • Graphene and Nanomaterials Applications 2
    • Tissue Engineering and Regenerative Medicine 3
    • Pancreatic function and diabetes 3

Paul Tomlins

16 papers receiving 448 citations

Peers

Paul Tomlins
Comparison fields: 5 of 72
  • Molecular Medicine 77
  • Biomaterials 183
  • Pharmaceutical Science 48
  • Biomedical Engineering 207
  • Cellular and Molecular Neuroscience 54
Replace Rossella Laurano with:
Rossella Laurano Italy
Katarzyna Nawrotek Poland
Haiqian Liu China
Houra Nekounam Iran
Beata Niemczyk-Soczynska Poland
Georgia Papavasiliou United States
Ehsan Zangene Iran
Yoshimi Kakimaru Japan
Yanwen Ding China
Amir Mellati Iran
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Citations per field
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Citations per year

Countries citing papers authored by Paul Tomlins

Since Specialization
Citations

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

Fields of papers citing papers by Paul Tomlins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Paul Tomlins, 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 Paul Tomlins Line = papers co-authored together Paul Tomlins links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2017155
2 201560
3 201646
4 201439
5 201926
6 201525
7 201524
8 201219
9 201519
10 201415
11 20195
12
Characterisation of polymeric tissue scaffolds.
20065
13 20154
14 20143
15 20123
16 20033
17 20020

About Paul Tomlins

Paul Tomlins is a scholar working on Biomedical Engineering, Surgery, Biomaterials, Molecular Medicine and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 451 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (4 papers), Diabetes Management and Research (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Bone Tissue Engineering Materials (3 papers), Hydrogels: synthesis, properties, applications (3 papers), Pancreatic function and diabetes (3 papers), Graphene and Nanomaterials Applications (2 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Molecular Medicine (77 citations), Biomaterials (183 citations), Pharmaceutical Science (48 citations), Biomedical Engineering (207 citations) and Cellular and Molecular Neuroscience (54 citations). Paul Tomlins has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include M. Joan Taylor, Tarsem Sahota, Constantina Lekakou, Yahya Elsayed, Fatima H. Labeed, Sergey V. Mikhalovsky, Jimi Adu, Raymond L. D. Whitby, Anthony Ratcliffe and Carl G. Simon. Their work appears in journals such as Advanced Healthcare Materials, Tissue Engineering Part C Methods, Applied Sciences, Polymer Testing and Gels.

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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