Catherine A. Abbott

3.5k citations
74 papers · 2.8k indexed · h-index 29

Impact in

Papers in

Catherine A. Abbott

72 papers receiving 2.8k citations

Peers

Catherine A. Abbott
Comparison fields: 5 of 129
  • Oncology 1.6k
  • Cellular and Molecular Neuroscience 890
  • Endocrinology, Diabetes and Metabolism 666
  • Cancer Research 410
  • Hepatology 189
Replace Jean–Charles Dagorn with:
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Jie Cheng China
Wing‐Yee Lui Hong Kong
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Ian Carr United Kingdom
Michael P. Verzi United States
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Catherine A. Abbott relative to Jean–Charles Dagorn France Jean–Charles Dagorn's profile →
Citations per field
00.5×8.1×
Jean–Charles Dagorn · 1×
Citations per year

Countries citing papers authored by Catherine A. Abbott

Since Specialization
Citations

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

Fields of papers citing papers by Catherine A. Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine A. Abbott. 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 Catherine A. Abbott. The network helps show where Catherine A. Abbott may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 202137
4 201914
5 20149
6 201356
7 201311
8 201011
9 201039
10 201052
11 200933
12 20063
13 200610
14 20064
15 20068
16 200612
17 20030
18 200343
19 199710
20 199313

About Catherine A. Abbott

Catherine A. Abbott is a scholar working on Oncology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Biotechnology and Cancer Research, having authored 74 papers that have together received 2.8k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (39 papers), Neuropeptides and Animal Physiology (27 papers), Diabetes Treatment and Management (14 papers), Protease and Inhibitor Mechanisms (7 papers), Signaling Pathways in Disease (7 papers), Gut microbiota and health (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers) and Marine Sponges and Natural Products (4 papers). The work is most often cited by research in Oncology (1.6k citations), Cellular and Molecular Neuroscience (890 citations), Endocrinology, Diabetes and Metabolism (666 citations), Cancer Research (410 citations) and Hepatology (189 citations). Catherine A. Abbott has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include Geoffrey W. McCaughan, Mark D. Gorrell, Roger Yazbeck, Gordon S. Howarth, Kirsten Benkendorff, Katerina Ajami, Miriam Levy, Denise Yu, Nicholas Shackel and Peter H. McGuinness. Their work appears in journals such as Advances in experimental medicine and biology, Scientific Reports, Marine Drugs, Ecology and Evolution and Evidence-based Complementary and Alternative Medicine.

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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