Laura Copeman

686 citations
14 papers · 554 · h-index 9

Impact in

  • Genetics top 10%
    • Animal Genetics and Reproduction
    • Virus-based gene therapy research
  • Surgery top 10%
    • Xenotransplantation and immune response
    • Tissue Engineering and Regenerative Medicine
    • Organ Transplantation Techniques and Outcomes
    • Pancreatic function and diabetes

Papers in

    • Xenotransplantation and immune response 12
    • Pancreatic function and diabetes 1
    • Tissue Engineering and Regenerative Medicine 1
    • Animal Genetics and Reproduction 9
    • Virus-based gene therapy research 7

Laura Copeman

14 papers receiving 541 citations

Peers

Laura Copeman
Comparison fields: 5 of 46
  • Genetics 332
  • Surgery 506
  • Transplantation 24
  • Immunology 60
  • Molecular Biology 151
Replace Chih Che Lin with:
Chih Che Lin Taiwan
Wanyu Wang China
G. Langford United Kingdom
Wiebke Baars Germany
Julia Greenstein United States
Y. Ye United States
Luz M. Reyes United States
Gilda Chavez United Kingdom
Susan M. Downey United States
Atousa Aminian Australia
Laura Copeman relative to Chih Che Lin Taiwan Chih Che Lin's profile →
Citations per field
00.5×1.5×1.8×
Chih Che Lin · 1×
Citations per year

Countries citing papers authored by Laura Copeman

Since Specialization
Citations

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

Fields of papers citing papers by Laura Copeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2005289
2 200664
3 200559
4 200232
5 200024
6 200223
7 200220
8 20029
9 20049
10 20038
11 20077
12 20015
13 19954
14 20041

About Laura Copeman

Laura Copeman is a scholar working on Surgery, Genetics, Molecular Biology, Immunology and Small Animals, having authored 14 papers that have together received 554 indexed citations. Recurring topics across this work include Xenotransplantation and immune response (12 papers), Animal Genetics and Reproduction (9 papers), Virus-based gene therapy research (7 papers), Pancreatic function and diabetes (1 paper), Veterinary Pharmacology and Anesthesia (1 paper), Complement system in diseases (1 paper), Transgenic Plants and Applications (1 paper) and Tissue Engineering and Regenerative Medicine (1 paper). The work is most often cited by research in Genetics (332 citations), Surgery (506 citations), Transplantation (24 citations), Immunology (60 citations) and Molecular Biology (151 citations). Laura Copeman has collaborated with scholars based in United Kingdom, Canada and China. Frequent co-authors include David J. White, Andrew Richards, Robert Zhong, Wanyu Wang, Gang Chen, Ying Xiang, Bertha García, William Wall, Yu‐Liang Xiong and Hongtao Sun. Their work appears in journals such as Xenotransplantation, Transplantation, Nature Medicine, Neuroreport and Life Sciences.

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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