Isabel Huang‐Doran
- Hepatology top 5%
- Molecular Biology top 10%
- Nuclear Structure and Function 6
- Metabolism, Diabetes, and Cancer 4
- Metabolomics and Mass Spectrometry Studies 2
- Cancer Research top 10%
- Biochemistry top 10%
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- Liver Disease Diagnosis and Treatment 5
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- Endoplasmic Reticulum Stress and Disease 3
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- Adipose Tissue and Metabolism 3
- Erythrocyte Function and Pathophysiology 2
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- Ovarian function and disorders 2
- Co-authors
- Antonio Vidal‐PuigChen‐Yu ZhangRobert K. SempleStephen O’RahillyDavid B. SavageJulian L. GriffinAlison SleighS. Tamir Rashid
- Journals
- Journal of Clinical Investigation (1 paper)The Journal of Clinical Endocrinology & Metabolism (2 papers)Diabetes (1 paper)
- Partner nations
- United KingdomItalyNetherlands
In The Last Decade
Isabel Huang‐Doran
21 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 92
- Hepatology 178
- Molecular Biology 780
- Cancer Research 162
- Endocrinology, Diabetes and Metabolism 176
- Biochemistry 73
Countries citing papers authored by Isabel Huang‐Doran
This map shows the geographic impact of Isabel Huang‐Doran'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 Isabel Huang‐Doran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel Huang‐Doran more than expected).
Fields of papers citing papers by Isabel Huang‐Doran
This network shows the impact of papers produced by Isabel Huang‐Doran. 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 Isabel Huang‐Doran. The network helps show where Isabel Huang‐Doran may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Isabel Huang‐Doran, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 33 | |
| 5 | 2020 | 16 | |
| 6 | 2020 | 29 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 0 | |
| 9 | 2017 | 24 | |
| 10 | 2016 | 15 | |
| 11 | 2016 | 287 | |
| 12 | 2015 | 22 | |
| 13 | 2012 | 16 | |
| 14 | Congenital syndromes of severe insulin resistance. | 2011 | 5 |
| 15 | 2011 | 51 | |
| 16 | 2010 | 156 | |
| 17 | 2010 | 124 | |
| 18 | 2010 | 61 | |
| 19 | 2010 | 25 | |
| 20 | 2010 | 436 |
About Isabel Huang‐Doran
Isabel Huang‐Doran is a scholar working on Endocrine and Autonomic Systems, Nephrology and Biochemistry, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nuclear Structure and Function (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Adipose Tissue and Metabolism (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Ovarian function and disorders (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Hepatology (178 citations), Molecular Biology (780 citations) and Cancer Research (162 citations). Isabel Huang‐Doran has collaborated with scholars based in United Kingdom, Italy and Netherlands. Frequent co-authors include Antonio Vidal‐Puig, Chen‐Yu Zhang, Robert K. Semple, Stephen O’Rahilly, David B. Savage, Julian L. Griffin, Alison Sleigh, S. Tamir Rashid, Elena Miranda and Anne Weber. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Diabetes.
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.