Gro Askgaard

739 citations
32 papers · 522 · h-index 13

Impact in

Papers in

Gro Askgaard

30 papers receiving 514 citations

Peers

Gro Askgaard
Comparison fields: 5 of 78
  • Hepatology 195
  • Pathology and Forensic Medicine 308
  • Epidemiology 388
  • Endocrinology, Diabetes and Metabolism 85
  • Biochemistry 19
Replace Gianni Testino with:
Gianni Testino Italy
Loretta Jophlin United States
Meritxell Ventura‐Cots Spain
Kapil Dev Jamwal India
Katherine Pollard United States
Joseph J. Deferio United States
Megan Comerford United States
Mansooreh Maadi Iran
Isabella Franco Italy
Partha Sarathi Mukherjee India
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Citations per field
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Citations per year

Countries citing papers authored by Gro Askgaard

Since Specialization
Citations

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

Fields of papers citing papers by Gro Askgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015172
2 202143
3 201630
4 201127
5 201325
6 201825
7 202124
8 202322
9 201319
10 201919
11 201616
12 201716
13 202113
14 20249
15 20159
16 20208
17 20227
18 20177
19 20227
20 20134

About Gro Askgaard

Gro Askgaard is a scholar working on Epidemiology, Pathology and Forensic Medicine, Hepatology, General Health Professions and Neurology, having authored 32 papers that have together received 522 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (23 papers), Liver Disease Diagnosis and Treatment (23 papers), Liver Disease and Transplantation (16 papers), Substance Abuse Treatment and Outcomes (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Diet, Metabolism, and Disease (2 papers), Alcoholism and Thiamine Deficiency (2 papers) and HIV Research and Treatment (1 paper). The work is most often cited by research in Hepatology (195 citations), Pathology and Forensic Medicine (308 citations), Epidemiology (388 citations), Endocrinology, Diabetes and Metabolism (85 citations) and Biochemistry (19 citations). Gro Askgaard has collaborated with scholars based in Denmark, United Kingdom and Norway. Frequent co-authors include Janne Schurmann Tolstrup, Mette Skalshøi Kjær, Morten Grønbæk, Anne Tjønneland, Peter Jepsen, Joe West, Thomas Deleuran, David A. Leon, Maja Thiele and Kate M. Fleming. Their work appears in journals such as Journal of Hepatology, Hepatology, Cochrane Database of Systematic Reviews, The American Journal of Gastroenterology and JHEP Reports.

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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