Lauren Ford

685 citations
23 papers · 461 · h-index 12

Impact in

Papers in

Lauren Ford

21 papers receiving 451 citations

Peers

Lauren Ford
Comparison fields: 5 of 98
  • Aquatic Science 164
  • Biochemistry 50
  • Complementary and alternative medicine 39
  • Food Science 69
  • Biotechnology 32
Replace Thalita Marcílio Cândido with:
Thalita Marcílio Cândido Brazil
André Horta Portugal
Thilahgavani Nagappan Malaysia
Xuefei Yang China
Yaoxian Chin China
Gonçalo P. Rosa Portugal
Sandra Balbino Croatia
Sun‐Mee Park South Korea
Rihab Ben Abdallah Kolsi Tunisia
Lauren Ford relative to Thalita Marcílio Cândido Brazil Thalita Marcílio Cândido's profile →
Citations per field
00.5×3.3×
Thalita Marcílio Cândido · 1×
Citations per year

Countries citing papers authored by Lauren Ford

Since Specialization
Citations

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

Fields of papers citing papers by Lauren Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019100
2 202071
3 201866
4 201734
5 202031
6 202027
7 202121
8 201520
9 201817
10 202016
11 201914
12 202112
13 20229
14 20177
15 20235
16 20244
17 20252
18 20222
19 20241
20 20251

About Lauren Ford

Lauren Ford is a scholar working on Aquatic Science, Molecular Biology, Biotechnology, Complementary and alternative medicine and Biomedical Engineering, having authored 23 papers that have together received 461 indexed citations. Recurring topics across this work include Seaweed-derived Bioactive Compounds (6 papers), Microbial Metabolism and Applications (4 papers), Protein Hydrolysis and Bioactive Peptides (3 papers), Morinda citrifolia extract uses (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Moringa oleifera research and applications (2 papers) and Dyeing and Modifying Textile Fibers (2 papers). The work is most often cited by research in Aquatic Science (164 citations), Biochemistry (50 citations), Complementary and alternative medicine (39 citations), Food Science (69 citations) and Biotechnology (32 citations). Lauren Ford has collaborated with scholars based in United Kingdom, United States and Hungary. Frequent co-authors include Pamela Walsh, Katerina Theodoridou, Gary N. Sheldrake, Richard S. Blackburn, Christopher M. Rayner, Jaimie T. A. Dick, Nicolae Corcionivoschi, Alexandros Ch. Stratakos, Robert L. Henderson and Mark Linton. Their work appears in journals such as Scientific Reports, Animals, Blood, Neuro-Oncology and Current Psychiatry Reports.

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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