Erika Moore

32 papers receiving 821 citations

Erika Moore's Hit Papers

Engineering the multiscale complexity of vascular networks 2022 · 175 citations
1750+1+2Years since publication50100150

Peers

Erika Moore
Comparison fields: 5 of 108
  • Parasitology 127
  • Biomaterials 144
  • Genetics 76
  • Biomedical Engineering 303
  • Urology 28
Replace Wei Yong Gu with:
Wei Yong Gu United States
Takaaki Kanemaru Japan
Tiziana Orsini Italy
Natalia Vapniarsky United States
Tobias May Germany
Yoji Tabata Switzerland
Yiping Liu China
Charles N. Pagel Australia
Kyle T. Cunningham United Kingdom
Leon M. Ptaszek United States
Erika Moore relative to Wei Yong Gu United States Wei Yong Gu's profile →
Citations per field
00.5×4.2×
Wei Yong Gu · 1×
Citations per year

Countries citing papers authored by Erika Moore

Since Specialization
Citations

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

Fields of papers citing papers by Erika Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Engineering the multiscale complexity of vascular networks
Hit paper breakdown →
2022175
2 2013149
3 201354
4 202151
5 201848
6 201840
7 202135
8 201730
9 201229
10 202027
11 201827
12 201426
13 202119
14 202119
15 202115
16 202114
17 202311
18 201311
19 201510
20 20239

About Erika Moore

Erika Moore is a scholar working on Immunology, Molecular Biology, Surgery, Genetics and Biomaterials, having authored 39 papers that have together received 835 indexed citations. Recurring topics across this work include Immune cells in cancer (8 papers), Tissue Engineering and Regenerative Medicine (7 papers), Angiogenesis and VEGF in Cancer (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Mesenchymal stem cell research (5 papers), Cell Adhesion Molecules Research (3 papers), 3D Printing in Biomedical Research (3 papers) and Periodontal Regeneration and Treatments (3 papers). The work is most often cited by research in Parasitology (127 citations), Biomaterials (144 citations), Genetics (76 citations), Biomedical Engineering (303 citations) and Urology (28 citations). Erika Moore has collaborated with scholars based in United States, Russia and France. Frequent co-authors include Jennifer L. West, Kelly R. Stevens, Ying Zheng, Sani H. Aliyu, Daniel Greaves, Daphne L. Hutton, Josephine B. Allen, Warren L. Grayson, Christopher Ludtka and Jeffrey M. Gimble. Their work appears in journals such as PLoS ONE, Tissue Engineering Part A, Nature Reviews Materials, ACS Biomaterials Science & Engineering and Journal of Proteome Research.

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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