Carol J. Phelps

5.1k citations
79 papers · 3.0k indexed · 2 hit papers · h-index 24

Carol J. Phelps

77 papers receiving 2.9k citations

Hit Papers

Chimeric 2C10R4 anti-CD40 antibody ...3302002202620102018100200300400500

Peers

Carol J. Phelps
Comparison fields: 5 of 87
  • Genetics 1.5k
  • Surgery 1.9k
  • Transplantation 81
  • Endocrinology, Diabetes and Metabolism 429
  • Developmental Neuroscience 77
Replace Nadja Herbach with:
Nadja Herbach Germany
Lynn E. Pritchard United Kingdom
Marcelo J. Perone Argentina
B Michelsen Denmark
Séverine Remy France
Trixie A. Shinkel Australia
Gustaf Christoffersson Sweden
J F Bach France
Olof Söder Sweden
James G. Simmons United States
Carol J. Phelps relative to Nadja Herbach Germany Nadja Herbach's profile →
Citations per field
00.5×11.6×
Nadja Herbach · 1×
Citations per year

Countries citing papers authored by Carol J. Phelps

Since Specialization
Citations

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

Fields of papers citing papers by Carol J. Phelps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol J. Phelps. 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 Carol J. Phelps. The network helps show where Carol J. Phelps may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20216
3 202122
4 201819
5 201712
6 201736
7
The role of genetically engineered pigs in xenotransplantation research
20162
8
Advances in a life-supporting xenogenic lung transplant model
20130
9 201340
10 20067
11 20038
12
Targeted disruption of the α1,3-galactosyltransferase gene in cloned pigsbreakdown →
2002576
13 20017
14 200010
15 19995
16 1999128
17 199919
18 19958
19 19900
20 199029

About Carol J. Phelps

Carol J. Phelps is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Endocrine and Autonomic Systems, having authored 79 papers that have together received 3.0k indexed citations. Recurring topics across this work include Xenotransplantation and immune response (35 papers), Growth Hormone and Insulin-like Growth Factors (30 papers), Animal Genetics and Reproduction (21 papers), Pituitary Gland Disorders and Treatments (10 papers), Organ Transplantation Techniques and Outcomes (10 papers), Transplantation: Methods and Outcomes (8 papers), Genetic Syndromes and Imprinting (7 papers) and Virus-based gene therapy research (7 papers). The work is most often cited by research in Genetics (1.5k citations), Surgery (1.9k citations) and Transplantation (81 citations). Carol J. Phelps has collaborated with scholars based in United States, Germany and China. Frequent co-authors include David Ayares, David K. C. Cooper, David L. Hurley, Hidetaka Hara, Burcin Ekser, Mohamed Ezzelarab, Suyapa Ball, Todd Vaught, Kevin D. Wells and Yifan Dai. Their work appears in journals such as Nature Communications, Nature Biotechnology and The Journal of Clinical Endocrinology & Metabolism.

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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