Abigail C. Lay
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
Papers in
- Nephrology 14
- Renal Diseases and Glomerulopathies 12
- Chronic Kidney Disease and Diabetes 6
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- Extracellular vesicles in disease 1
- Co-authors
- Richard J. Coward (13 shared papers)Gavin I. Welsh (8 shared papers)Irena Audzeyenka (1 shared paper)Agnieszka Bierżyńska (1 shared paper)Moin A. Saleem (3 shared papers)Greg F. Mathis (1 shared paper)I. Knap (1 shared paper)Brett Lumpkins (1 shared paper)
- Journals
- Diabetologia (2 papers)iScience (1 paper)Diabetic Medicine (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)Nephrology Dialysis Transplantation (1 paper)
- Partner nations
- United KingdomUnited StatesPoland
In The Last Decade
Abigail C. Lay
17 papers receiving 547 citations
Peers
Comparison fields: 5 of 71
- Nephrology 171
- Animal Science and Zoology 88
- Critical Care and Intensive Care Medicine 23
- Endocrinology, Diabetes and Metabolism 61
- Food Science 69
Countries citing papers authored by Abigail C. Lay
This map shows the geographic impact of Abigail C. Lay'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 Abigail C. Lay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abigail C. Lay more than expected).
Fields of papers citing papers by Abigail C. Lay
This network shows the impact of papers produced by Abigail C. Lay. 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 Abigail C. Lay. The network helps show where Abigail C. Lay may publish in the future.
Co-authors
The 25 scholars most cited alongside Abigail C. Lay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 119 | |
| 2 | 2019 | 63 | |
| 3 | 2021 | 57 | |
| 4 | 2019 | 57 | |
| 5 | 2013 | 52 | |
| 6 | 2017 | 46 | |
| 7 | 2018 | 36 | |
| 8 | 2015 | 28 | |
| 9 | 2021 | 25 | |
| 10 | 2013 | 25 | |
| 11 | 2023 | 24 | |
| 12 | 1979 | 12 | |
| 13 | 2019 | 9 | |
| 14 | 2020 | 3 | |
| 15 | 2023 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Abigail C. Lay
Abigail C. Lay is a scholar working on Nephrology, Molecular Biology, Surgery, Genetics and Physiology, having authored 19 papers that have together received 559 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (12 papers), Chronic Kidney Disease and Diabetes (6 papers), Pancreatic function and diabetes (4 papers), Genetic and Kidney Cyst Diseases (3 papers), Salmonella and Campylobacter epidemiology (1 paper), Extracellular vesicles in disease (1 paper), Galectins and Cancer Biology (1 paper) and Biochemical effects in animals (1 paper). The work is most often cited by research in Nephrology (171 citations), Animal Science and Zoology (88 citations), Critical Care and Intensive Care Medicine (23 citations), Endocrinology, Diabetes and Metabolism (61 citations) and Food Science (69 citations). Abigail C. Lay has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Richard J. Coward, Gavin I. Welsh, Irena Audzeyenka, Agnieszka Bierżyńska, Moin A. Saleem, Greg F. Mathis, I. Knap, Brett Lumpkins, M. M. Jensen and Charles L. Hofacre. Their work appears in journals such as Diabetologia, iScience, Diabetic Medicine, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Nephrology Dialysis 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.