Isabel Huang‐Doran

1.9k citations
23 papers · 1.4k indexed · h-index 16
Topics
Nuclear Structure and Function (6 papers)Liver Disease Diagnosis and Treatment (5 papers)Metabolism, Diabetes, and Cancer (4 papers)

In The Last Decade

Isabel Huang‐Doran

21 papers receiving 1.3k citations

Peers

Isabel Huang‐Doran
Comparison fields: 5 of 92
  • Molecular Biology 780
  • Epidemiology 341
  • Physiology 256
  • Surgery 236
  • Hepatology 178
Replace John M. Edmison with:
John M. Edmison United States
Hiroaki Yokomori Japan
Maciej Pronicki Poland
Suh-Hang Hank Juo Taiwan
Ute Haas Germany
Sawako Suzuki Japan
Monique Philippe France
Tineke Kok Netherlands
Guo‐Rui Dou China
Chiung‐Kuei Huang United States
Isabel Huang‐Doran relative to John M. Edmison United States John M. Edmison's profile →
Citations per field
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John M. Edmison · 1×
Citations per year

Countries citing papers authored by Isabel Huang‐Doran

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Isabel Huang‐Doran

This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Huang‐Doran. A scholar is included among the top collaborators of Isabel Huang‐Doran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Isabel Huang‐Doran. Isabel Huang‐Doran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 33
5 16
6 29
7 20
8 0
9 24
10 15
11 287
12 22
13 16
14
Congenital syndromes of severe insulin resistance.
5
15 51
16 156
17 124
18 61
19 25
20 436

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) and Metabolism, Diabetes, and Cancer (4 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.

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