Abby Willcox

17 papers receiving 1.7k citations

Abby Willcox's Hit Papers

Analysis of islet inflammation in human type 1 diabetes 2008 · 560 citations
5600+6+12Years since publication100200300400500

Peers

Abby Willcox
Comparison fields: 5 of 87
  • Genetics 1.2k
  • Endocrinology, Diabetes and Metabolism 684
  • Surgery 869
  • Immunology 344
  • Parasitology 67
Replace Marie Pouzolles with:
Marie Pouzolles United States
Mårten K. J. Schneider Switzerland
Lucy J. Davison United Kingdom
Daniel Galbraith United Kingdom
Annalisa Brozzetti Italy
Petri Ylipaasto Finland
Tica Pichulik United Kingdom
Joseph H. Kite United States
Eva d’Hennezel Canada
Júlia Farache United States
Abby Willcox relative to Marie Pouzolles United States Marie Pouzolles's profile →
Citations per field
00.5×10.6×
Marie Pouzolles · 1×
Citations per year

Countries citing papers authored by Abby Willcox

Since Specialization
Citations

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

Fields of papers citing papers by Abby Willcox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Analysis of islet inflammation in human type 1 diabetes
Hit paper breakdown →
2008560
2 2009305
3 2016255
4 2014185
5 201079
6 201072
7 199168
8 201658
9 201145
10 201026
11 201517
12 201712
13 201811
14
Giant-cell granulomata of the mucous membranes and polyarteritis nodosa.
19546
15 20175
16
Blood and Islet Phenotypes Indicate Immunological Heterogeneity in Type 1 Diabetes (vol 63, pg 3835, 2014)
20151
17 20121

About Abby Willcox

Abby Willcox is a scholar working on Genetics, Surgery, Endocrinology, Diabetes and Metabolism, Infectious Diseases and Molecular Biology, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes and associated disorders (11 papers), Pancreatic function and diabetes (7 papers), Diabetes Management and Research (6 papers), Toxoplasma gondii Research Studies (1 paper), Retinal Diseases and Treatments (1 paper), Insects and Parasite Interactions (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Skin Diseases and Diabetes (1 paper). The work is most often cited by research in Genetics (1.2k citations), Endocrinology, Diabetes and Metabolism (684 citations), Surgery (869 citations), Immunology (344 citations) and Parasitology (67 citations). Abby Willcox has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Noel G. Morgan, Sarah J. Richardson, Alan K. Foulis, Adrian J. Bone, A. J. Bone, A. K. Foulis, Pia Leete, Knut Dahl‐Jørgensen, Lars Krogvold and Wafaa S. Hollister. Their work appears in journals such as Diabetologia, Diabetes, Parasitology, Clinical & Experimental Immunology and American Journal of Transplantation.

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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